{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "citation-manager": {
     "citations": {
      "": []
     }
    },
    "tags": [
     "title"
    ]
   },
   "source": [
    "# Interactive panels as explorative tools of visual sources: continuing Warburg’s epistemological principles"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "contributor"
    ]
   },
   "source": [
    " ### anonym"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "contributor"
    ]
   },
   "source": [
    "### anonym\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "copyright"
    ]
   },
   "source": [
    "[![cc-by](https://licensebuttons.net/l/by/4.0/88x31.png)](https://creativecommons.org/licenses/by/4.0/) \n",
    "©<AUTHOR or ORGANIZATION / FUNDER>. Published by De Gruyter in cooperation with the University of Luxembourg Centre for Contemporary and Digital History. This is an Open Access article distributed under the terms of the [Creative Commons Attribution License CC-BY](https://creativecommons.org/licenses/by/4.0/)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "start_time": "2024-02-23T14:15:30.105Z"
    },
    "execution": {
     "iopub.execute_input": "2024-02-23T13:47:21.288852Z",
     "iopub.status.busy": "2024-02-23T13:47:21.288455Z",
     "iopub.status.idle": "2024-02-23T13:47:21.310458Z",
     "shell.execute_reply": "2024-02-23T13:47:21.309549Z"
    },
    "tags": [
     "cover"
    ]
   },
   "outputs": [],
   "source": [
    "from IPython.display import Image, display\n",
    "\n",
    "display(Image(\"./media/cover.jpg\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "keywords"
    ]
   },
   "source": [
    "Aby Warburg, digital humanities, visual studies, digital art history, cultural history, iconography, interaction design"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "abstract"
    ]
   },
   "source": [
    "In this article we propose a methodology and a tool for exploring visual collections, based on the interrelations of historical and iconographic connections, through the use of interactive storytelling. Such methodology is strongly inspired by the work of the art historian Aby Warburg and, most especifically, by his Atlas Mnemosyne project; in this line, we propose a way of using an open source, bilingual, JavaScript library called Aventura.js to create interactive iconographic panels connected by hypertextual connections and interpretations.\n",
    "Following the structure of the Journal, the article is organized in three complementary layers: the narrative layer of the article presents the context and the epistemological principles originally proposed by Warburg on his Atlas Mnemosyne project at the beginning of the XX century, and also reflects on how to expand Warburg's strategies on new ways by using digital tools. We discuss the need to develop specific tools to visualize qualitative data in image corpuses in humanities and social sciences. The hermeneutic layer of the article presents the development of Aventura.js as an electronic literature library, and its repurposing as a tool for visual digital scholarship. Subsequently we propose how this programming library can be used to create interactive exploratory panels that follow the spirit and extend the meaning possibilities of the Atlas Mnemosyne strategy. Concretely, panels organized in a 2D feature space according to categories related to the persistence, or survival, of iconographic motifs in collective memory, but, additionally, organized in a hipertextual, narrative z-dimension. As a case study that uses our methodology and tool, we provide an example dataset consisting in a collection of images that are iconographically related to the figure of the “Carguero” (Man carrier), a typical character of the 19th century Colombian visual culture. We will show how focusing attention on figures, characters or iconographic details (instead of authors, works or genres) by means of data filtering, visualization, and narrativization, allows a better understanding of the images' trajectories through different visual regimes, geographical spaces and historical periods. With this dataset, we develop all the steps involved in the design of an Atlas containing multiple interactive panels: the creation of a collection, the annotation of the images, the automation of montage and interacivity, the construction of a narrative space through the use of hypertextextual paths, and the final design decisions. Additionally we critically discuss the reach and limitations of this methodology and tool and possible further developments."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This article has two purposes: on the one hand, to describe a method for digital scholarship of visual sources, and, on the other, to develop an applied example based on a collection of images:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, we propose a method and a tool to create interactive iconographic panels inspired by the strategies employed by the art historian Aby Warburg in his Atlas Mnemosyne project. We assert that interactive panels can be used as narrative means to collect, explore, and display iconographic interpretations of historical visual sources, that is, networks of iconic and symbolic associations between images. We furthermore show how the JavaScript library Aventura.js, originally intended for the creation of electronic literature, can be a helpful repurposed tool to structure and render such interactive panels, in conjunction with additional data processing and visualization procedures. Additionally, along our proposal of this method, we reflect on different problems related to the creation of tools for studying visuality in the context of digital scholarship in the humanities: specifically, the relationship between computationally and manually extracted data, linguistic barriers in software development and use, the introduction of human subjectivity into the creation and presentation of historical collections, and the design of interfaces for the elaboration of historical arguments."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Second, we offer a particular case study and demonstration built with Aventura.js that uses our proposed method: an iconographic interactive atlas of the image of the Carguero (roughly translated as “Man carrier”). Namely, the representation of subalternized people that were used as means of transport in the harsh geographical accidents of nineteenth-century Colombia, and other places in South America, and their multiple reappropriations, remixes, recompositions, and recontextualizations. With this iconographic panel, we want to present a novel interpretation on the topic and show how the reading of a collection of visual sources can be enriched in complex ways by means of computational data structures, data visualization, and non-linear storytelling."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This article is the result of an interdisciplinary collaboration, built upon different expertises —cultural history, visual studies, semiotics, and data visualization—, but also on common interests —studying visual sources with the help of computational tools. The main theoretical common ground that serves as a foundation for our proposal is the set of epistemological principles of Aby Warburg's Atlas Mnemosyne (<cite data-cite=\"7299034/5SBJCW9X\"></cite>). Warburg’s insights, we want to show, have important potential for the creation of digital tools to interpret visual sources, and offer strategies that address the limitations of conventional publication formats in academia (<cite data-cite=\"7299034/7IRYBDQE\"></cite>) and the orthodox, iconic methods for data visualization, usually insufficient to represent the categorical data that is commonly derived from the sources used in the humanities (<cite data-cite=\"7299034/779MQTKK\"></cite>)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Atlas Mnemosyne after digital humanities"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Atlas Mnemosyne is the unfinished project Aby Warburg worked on in the last years of his life (<cite data-cite=\"7299034/5SBJCW9X\"></cite>). It was a device that visually stored and displayed central aspects of Western visual memory. In Warburg's words, the Atlas was an instrument of \"orientation\" which, by exhibiting \"iconic materials\" and their visual relationships, allowed to \"illustrate\" the \"process\" of how the values of expression of \"life in motion\" coined in Antiquity were incorporated in the Renaissance (<cite data-cite=\"7299034/5SBJCW9X\"></cite>, p. 35). Although generally associated with a collection of maps, as Antón-Barco argues, \"atlases are a visual form of knowledge consisting on an encyclopedic collection of related objects or entities. Its mission is to offer a multitude of elements brought together by elective affinities so that its reader can understand the world that he or she lives in.” (<cite data-cite=\"7299034/JS2I4PY3\"></cite>:46). In a sense, like the mythological referent from which it is named after, the Atlas is designed to \"carry the world on its back\" (<cite data-cite=\"7299034/4TDN96K2\"></cite>). In its final form, the Atlas Mnemosyne consisted of a set of large black fabric screens attached to frames measuring 1.50 m x 2 m, on which different photographs were grouped by attaching them with small, easily manipulated clamps (<cite data-cite=\"7299034/HY9N8YHZ\"></cite>, p. 412). The panels that make up the Atlas consist of sets of images organized by visual relationships, defined by certain recurring motifs of themes, gestures, and bodily dispositions found in a heterogeneity of sources not all of them considered, at the time, by art historians: from images extracted from art history books to advertisement pieces cut out from magazines. All this material was organized in groups and series, according to the links suggested by different visual, historical, and geographical resemblances. In general terms, this procedure could be described as a montage, in analogy to what Sergey Eisenstein or Dziga Vertov were developing at the time in the field of cinema, that is, as a form of disposition in space and time in which the union of parts conforms a holistic meaning (<cite data-cite=\"7299034/HY9N8YHZ\"></cite>,<cite data-cite=\"7299034/UBQT2LZL\"></cite>,<cite data-cite=\"7299034/7IRYBDQE\"></cite>)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-23T14:15:35.612653Z",
     "start_time": "2024-02-23T14:15:35.582418Z"
    },
    "execution": {
     "iopub.execute_input": "2024-02-23T13:47:21.368629Z",
     "iopub.status.busy": "2024-02-23T13:47:21.368258Z",
     "iopub.status.idle": "2024-02-23T13:47:21.394002Z",
     "shell.execute_reply": "2024-02-23T13:47:21.393199Z"
    },
    "tags": [
     "figure-mnemosyne-*"
    ]
   },
   "outputs": [
    {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "jdh": {
       "module": "object",
       "object": {
        "source": [
         "The temporal distribution of news sheets in the MIA-Euronews Corpus"
        ],
        "type": "image"
       }
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# An example of a panel from Atlas Mnemosyne (panel 79)\n",
    "metadata = {\n",
    "    \"jdh\": {\n",
    "        \"module\": \"object\",\n",
    "        \"object\": {\n",
    "            \"source\": [\n",
    "                \"An example of a panel from Atlas Mnemosyne (panel 79)\"\n",
    "            ],\n",
    "            \"type\":\n",
    "            \"image\"\n",
    "        }\n",
    "    }\n",
    "}\n",
    "display(Image(\"./media/T79_HD.jpg\"), metadata=metadata)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The procedure to organize and manipulate the elements of the collection that integrate the Atlas is related to the epistemological principle of the \"good neighbor\", which entails that it is possible to creatively explore archives and libraries by finding surprising relationships derived from the significant neighborliness of elements that are next to those we are looking for. The principle of good neighborliness was exercised by Warburg with help from the special spatial arrangement of his grand library (<cite data-cite=\"7299034/9YEQKZLN\"></cite>), a home and research place that comprised a massive and increasing collection of books and photographs, meticulously arranged and further rearranged. Unlike most libraries, the books were not organized by subject matter, alphabetical or numerical order, but by four categories: Image, Word, Orientation, and Action, each one arranged over four floors. In this way, the Library's system leads visitors from visual image to language, then to religion, science, and philosophy, and finally to the subject matter of history, patterns of behavior, and actions. This system can be browsed in a linear way but can also be used transversally, allowing for creative exploration and surprising relationships between elements in the collection."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Good neighborliness is not based on chance but on a special consideration of the relationships between the particular and the general. Among the elements of a collection, relationships are not established by induction or deduction, that is, by absolute or statistical rules, but by an exemplary or paradigmatic logic, in which each element fosters each other according to the meaningful neighborliness between singular manifestations of the same theme or iconographic detail. In other words, it is based on the logical principle of abduction: the creative reasoning that occurs by trying to find patterns with hypothetical, provisional associations (<cite data-cite=\"7299034/KC6UKUR5\"></cite>). The units of meaning of the collection are called *Pathosformel*, or expressive formulas. This concept appears for the first time explicitly formulated in the essay on Durero and Italian Antiquity, written in 1905 (<cite data-cite=\"7299034/9QWY62IZ\"></cite>, p. 401-408). Pathosformel refers to the expression by visual means of intense emotions, or *Pathos*, which are manifested in gestures or bodily dispositions. These motifs become formulas that, when copied and used as models, are resignified and adapted to new historical and geographical contexts. In addition to being essential to providing a fresh reading on the relationships of the first Renaissance with classical Antiquity, the Pathosformel can be characterized as an analysis category able to trace historical relationships between images by establishing visual correspondences. The circulation of these visual materials in time and space operates in a way that Warburg calls survival (*Nachleben*), namely, a state of latency in which the motifs represented in the images, or Pathosfomel, are maintained as they move between periods, epistemic domains, contexts of signification, media, techniques, and places. For Warburg, survival operates through copying procedures that result in dramatic inversions of meaning —in the sense of classical drama: a change in fortune. Each time these motifs come into contact with an artist, a spectator, or a scholar they are \"recharged with life\" (<cite data-cite=\"7299034/X8HNX9QH\"></cite>, p. 37) and put to work in new contexts. This contact is characterized by Warburg as a “disturbing experience” (<cite data-cite=\"7299034/5SBJCW9X\"></cite>, p. 33), in which artists, spectators and scholars struggle between surrendering thoughtlessly to the power of the image, or, on the contrary, establishing a reflexive distance (*Denkraum*), and to make comparisons between materials in a working \"space\" in which different meaningful juxtapositions can be tried out. This formulation implies a conception that emphasizes the image as a presence and not as a representation. In this way, Aby Warburg is seen as a precursor of the visual studies perspective that Moxey has characterized as \"ontological\", that is, the one that emphasizes presence, distinctive structural characteristics, and performative effects (<cite data-cite=\"7299034/EAJWY34J\"></cite>)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Within the frame of reflexive distance, the interval (*Zwichenraum*) is one of the central concepts of the Atlas (<cite data-cite=\"7299034/5SBJCW9X\"></cite>, p. 29). That is, the symbolic meaning created not by the qualities of one single image but by its relation to others, a space in-between (<cite data-cite=\"7299034/4RVPEU3G\"></cite>, <cite data-cite=\"7299034/HY9N8YHZ\"></cite>). Such interval was graphically achieved in the original panels by the black background fabric used to establish a space between different frames. In a context in which the use of photographs and film projectors for teaching and disseminating art history research had not yet become popular, Warburg formed a large collection of photographs of the different materials he was interested in exploring (Mazzucco, 2012, 2013). These were organized in series and were positioned on the same epistemological level, that is, as having the same interpretative value or importance, by being placed on the black fabric panels (<cite data-cite=\"7299034/UBQT2LZL\"></cite>, p. 278). The panels were then re-photographed in order to create a single, homogenized image, which was then inserted into a series that was intended to take the form of a book that was left unfinished."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Currently, Warburg’s Atlas has served as an inspiration for imagining modes of organization and arrangement of, and relationships between, digital resources of online catalogs and databases of museums, archives, libraries, and other heritage organizations (<cite data-cite=\"7299034/RVS8WMLC\"></cite>,<cite data-cite=\"7299034/PQPY36FK\"></cite>,<cite data-cite=\"7299034/2YRPMV94\"></cite>), and his strategy has elicited reflection about the ways of collecting, safeguarding, interpreting, arranging, and exhibiting visual materials in the digital world<cite data-cite=\"7299034/LDB7UQ48\">(Preez, 2020)</cite>; in computational analysis, the repetitive nature of the Pathosformel has oriented the construction of algorithms that recognize certain poses or gestures <cite data-cite=\"7299034/LZCATTRL\">(Impett, 2020)</cite>; and the particular disposition of the panels has been compared to the electronic screen of different current digital devices (<cite data-cite=\"7299034/LDB7UQ48\"></cite>). Both the digital screen and the fabric panel frame a selection of images and enable the comparative consideration of the chosen images in proximity. Under this light, the screen makes possible a digital interval, in which the potential originally expressed in Warburg's project of, say, navigating between hyperlinks, is realized (<cite data-cite=\"7299034/MMKZJFIN\"></cite>)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Adding to these novel readings of the Atlas in the digital world, here we intend to repurpose the Cartesian space of the digital canvas, the pixel array used as a foundation in design software and visual display on internet browsers, as an interactive panel. The copy-pasting affordance of pixel information allows putting images together for comparing their visual iconic qualities and finding symbolic relationships. The arrangement of pixels, shapes, and images according to \"x\" and \"y\" coordinates allows the construction of a feature space (<cite data-cite=\"7299034/DLYHLH3V\"></cite>,<cite data-cite=\"7299034/FARLPENA\"></cite>) in which the metadata and extracted features of data points can be organized according to numeric values or compared based on defined categories. And the conventions of data visualization allow to structure hierarchical relationships between different categories. Additionally, the different layouts, or panels, can be organized as scenes that are navigated along a z-dimension of meaning depth that constructs an hypertextual narrative (<cite data-cite=\"7299034/XSTGEJL7\"></cite>)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After a technical description of the tools used for our proposal, developed in the hermeneutic layer of the article, we will provide a case study example consisting of a collection of images that are iconographically related to the figure of the *Carguero* (Man carrier), the depiction of a person carrying another one, by piggy-back or using backpack chairs or other special accessories, working as a mean of transportation in difficult geographic paths; a typical character of the 19th century Colombian visual culture. This figure could be interpreted as a concrete and localized manifestation of the Pathosformel of carrying something or someone. However, it would be more accurate to say that it is an iconographic theme, which takes the form of the representation of a character or \"social type,” whose variations are structured by various details, some of which can be considered Pathosformeln (gestures and bodily dispositions). The images of this character use previous models, which, through repetition, have become representational formulas that express and provoke intense emotions that, sometimes, express moral judgments to different audiences about the use of men for practices that are usually carried out by pack animals. The emotions, evaluations, experiences, and expectations that condense these representations, which can be traced to different associated textual sources, are specific historical manifestations. They account for a series of transformations related to the emergence of the modern world, such as the circumstances in which the industrial revolution, scientific revolutions, and political revolutions of the Atlantic world manifested themselves in the Latin American region. The ways in which these images are interpreted vary according to how they are situated in specific historical and geographical contexts, as well as in communities of interpretation related to travel literature, costume books, geographical relations, the literature of customs, the local press, and the international illustrated press."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The collection of images used in our case study was gathered through a search in a heterogeneity of physical and digital repositories and archives, based on Warburg's principle of good neighborliness. In this sense, it confronted disciplinary barriers that separate the images from the texts to which they are related and distribute them in different collections guarded, annotated, and cataloged by professionals from different disciplines. For example, in the Museo Nacional de Colombia (National Museum of Colombia), watercolors and loose plates can be found in the art collection, while engravings included in travel books are in custody of the history collection. This is a problem that repeats in most of the repositories visited; different visual materials receive different treatments: when they are in books, the images are ignored, and when the images are exhibited, the books, newspapers, and magazines they come from are ignored. This creates a series of problems in dealing with search strategies through queries and keywords, which adds up to the problem of the heterogeneity of classification systems and language use when searching through archives in, say, France, the United States, England, or Germany. In addition, in the collection we also included a number of popular reappropriations of the Carguero trope that are not held in repositories; we added photographs directly to the collection. The use of sources from digital and physical archives along with fortuitous findings, we intend to show, develops the potential of the inquiry possibilities derived by the good neighbor principle (<cite data-cite=\"7299034/RVS8WMLC\"></cite>,<cite data-cite=\"7299034/PQPY36FK\"></cite>,<cite data-cite=\"7299034/LDB7UQ48\"></cite>), for this reason, we call our set of images a subjective collection, explicitly stating that the process of collection is developed by subjects, and, as such, is inherently interpretative."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this project, it is also necessary to consider the use of digital image formats as homogenizers of the materials included in the collection. Just as Warburg used photographs to epistemologically equalize images of different formats and techniques (<cite data-cite=\"7299034/UBQT2LZL\"></cite>, p. 278), researchers working with digital images keep images in digital formats, such as PNG and JPG, in their folders, organized in different categories. These digital formats are used to homogenize a collection of elements coming from heterogeneous sources in order to stabilize them and put them in levels of similarity that allow comparisons, juxtapositions, and contrasts. However, this homogenization, also makes evident striking differences between archival practices: image quality, color correction, white balance, cropping, etc. As Johanna Drucker has pointed out, these operations involve unavoidable mediations between visual sources and their digital equivalents, which take place even in the cases of natively digital sources, since, between copies, compressions, and format changes, there are always transformations that “embody interpretation” and can affect computational analyses (<cite data-cite=\"7299034/NZIIPQX3\"></cite>, p. 8). The Carguero image collection is composed of photographed or scanned images from physical works such as bookplates, paintings, murals, sculptures, graffiti, stickers, as well as books, magazines, newspapers, loose sheets, paintings, engravings, etc. hosted in different digital repositories in various file formats (JPG, PNG, PDF, etc.). In our project, this myriad of sources is converted to a unifying format to form the collection: JPG images, and proportionally resized to fit the constrains of our interface."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the first stages of research in preparation for this paper, the images from the Carguero collection were put in relation to each other in intuitive ways, by following procedures that tried to emulate Warburg’s compositions. One of the first solutions we attempted to adapt Warburg's panels to digital environments was to create panels with black-fabric-like backgrounds in the image processing software Photoshop, over which the images were arranged according to the spatial relationships suggested by the categories of analysis. In a second attempt, the Aventura.js library made it possible to adapt the panels made in Photoshop by defining clickable \"areas\" on the images, which allowed to navigate through scenes that developed iconological narratives. The new version presented here is an attempt to streamline the process of creating panels with Aventura.js by using a dataset containing a list of categorical metadata about each image, and some predefined data visualization conventions and helper functions that standardize the ways of organizing and presenting the collection. As we will show, we created a method to partially automate the creation of panels and narrative paths."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In summary, in this project, Warburg's montage was adapted to the space of the digital screen. More specifically, to HTML Canvas Elements created inside web browsers. The canvas is organized according to the \"x\" and \"y\" Cartesian coordinate system, and the images are spatially distributed according to the relationships of the categories previously defined in the dataset. These arrangements form a feature space (<cite data-cite=\"7299034/DLYHLH3V\"></cite>), or an interval (Zwichenraum) (<cite data-cite=\"7299034/5SBJCW9X\"></cite>), that makes it possible to establish a space for reflection (Denkraum) and to find similarities and differences through comparison. These charts, which we will explore in more detail below, are exported to Aventura.js and organized into scenes and areas that allow the construction of interactive hypertextual narratives. Such heuristic tool has made it possible to indicate routes of analysis, add nuances, reaffirm indications, reformulate hypotheses, and ultimately refine and visualize the categorical apparatus that organized the material and guided the development of the historical narrative."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "## Creating interactive panels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "### Steps, tools and methods"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "The method we used for constructing our interactive panels can be summarized in the following steps and associated tools:"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "1. Preparing the subjective collection dataset by hosting images online and defining conventional table-based metadata (CSV format).\n",
    "2. Creating data subsets by filtering the main dataset with off the shelf functions in JavaScript.\n",
    "3. Displaying subsets in adequate graphic representations, using vanilla JavaScript functions for manipulating the HTML Canvas Element in the Observable, notebook-based coding platform.\n",
    "4. Adding a narrative z-dimension that connects all the graphic representations, that is, the panels, using the Aventura.js software for creating interactive stories.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "Most of the tools used in this project are rather conventional and well-known: tables formatted as comma separated values, vanilla JavaScript functions for filtering and creating graphics in the browser. However, the main innovation in our project in terms of tools is the use of the Aventura.js software for generative and interactive storytelling. Aventura is a JavaScript library, intended for the creation of electronic literature and generative art. In other words, works that use computation to help the production of visual and textual elements or to structure the navigation of a narration. Aventura.js provides a set of functions with which it is possible to create generative texts and images (using Markov chains and Context Free Grammars), and interactive stories (through a system for designing hypertextual, interconnected scenes). From the start, Aventura was developed as a bilingual (Spanish and English) alternative to other similar libraries, with the purpose to address idiomatic gaps in computational creativity, and to allow Spanish speaking users to make these types of creative works in their own language. As Takhteyev (2012) has studied, the practice of software development in Latin America occurs in a state of “cultural diglossia”, or existing between two languages at the same time, the default language of coding and software documentation: English, and other local languages: for instance, Spanish or Portuguese. In this sense, addressing the linguistic gap by creating local software helps to reappropriate computational tools for the study of humanities in situated contexts and to reduce knowledge gaps derived from linguistic barriers. This is an important aspect of our project, since the creation of local tools allow us to have agency and control over the expected results, instead of depending on tools created for other social, academic, and infrastructural contexts. Having the power to manipulate the code, and to think in our native language, helped us to develop a system of experimentation, iteration, and streamlining that would have not been possible by the use of black box tools that have their own coding idiosyncrasies."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "As was described, Aventura.js is a tool for creative coding, but it can be used as well for exploratory research in the humanities and for divulgating the results of such research; having access and understanding of the underlying code helped us to repurpose the original use of the software to a scholarly one. An important underlying proposition of this paper is that strategies from computational creativity can be used as speculative research and communication methods. In this section we focus on the potential of using Aventura’s interactive story system for creating iconographic panels, inspired by the concepts coming from Warburg’s Atlas Mnemosyne described before, and the possibility of extending Warburg’s system of interpretation by means of data visualization and storytelling. We, thus, used Aventura to design a narrative exploration of the iconographic collection of the Carguero images by combining different types of data visualization into the scene structure offered by the JavaScript library."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "### Designing an interactive panel"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "First, we created a dataset that contains multiple metadata about our subjective collection of 193 images related to the Carguero iconographic trope. Such dataset can be accessed in its totality in the data section of this paper. For each image, the following data is described (the name of the column in Spanish is indicated in parenthesis): name (“obras”), author (“autor”), date (“fecha”), media (“medio”), artistic technique (“tecnica”), material for producing the image (“material”), material substrate (“soporte”), height in cms (“alto”), width in cms (“ancho”), source (“fuente”), short description (“descripcion”), period (“periodo”), geographical region depicted (“region”), probable country depicted (“país”), path region (“camino”), image ID (“id”), source model (“modelo”), repository holding the image (“repositorio”), procedence (“procedencia”), main visual attribute of the carrier (“atributoCarguero”), main action of the carguero (“accionCarguero”), main visual attribute of the carried person, (“atributoCargado”), number of carriers in the image (“numeroCargueros”), direction of sight of the carrier, (“direccionMiradaCarguero”), direction of sight of the carried (“direccionMiradaCargado”), direction of the body of the carried (“direccionCargado”), gender of the carried (“generoCargado”), relation between foreground and background (“figura/fondo”), painting genre (“genero”), and other (“otros”), that is, images that are not specifically of the Carguero but are used to compare, contrast, or provide context."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-23T14:16:13.875653Z",
     "start_time": "2024-02-23T14:16:12.922463Z"
    },
    "execution": {
     "iopub.execute_input": "2024-02-23T13:47:21.415830Z",
     "iopub.status.busy": "2024-02-23T13:47:21.415435Z",
     "iopub.status.idle": "2024-02-23T13:47:22.118592Z",
     "shell.execute_reply": "2024-02-23T13:47:22.117282Z"
    },
    "tags": [
     "hermeneutics"
    ]
   },
   "outputs": [],
   "source": [
    "# Import dependencies\n",
    "\n",
    "import pandas as pd\n",
    "from IPython.display import HTML\n",
    "from observable_jupyter import embed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2024-02-23T14:16:33.311178Z",
     "start_time": "2024-02-23T14:16:33.255801Z"
    },
    "execution": {
     "iopub.execute_input": "2024-02-23T13:47:22.122699Z",
     "iopub.status.busy": "2024-02-23T13:47:22.122303Z",
     "iopub.status.idle": "2024-02-23T13:47:22.175852Z",
     "shell.execute_reply": "2024-02-23T13:47:22.174930Z"
    },
    "jdh": {
     "object": {
      "source": [
       "Carguero datas"
      ]
     }
    },
    "tags": [
     "hermeneutics",
     "table-1",
     "data-table"
    ]
   },
   "outputs": [
    {
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vista</td>\n",
       "      <td>prensa</td>\n",
       "      <td>True</td>\n",
       "      <td>194.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>189</th>\n",
       "      <td>189</td>\n",
       "      <td>Vue du Château d'eau Prise du Boulevard Saint ...</td>\n",
       "      <td>Nicolas Gengel, Adrien Dembour</td>\n",
       "      <td>1834</td>\n",
       "      <td>Grabado</td>\n",
       "      <td>Litografía</td>\n",
       "      <td>papel</td>\n",
       "      <td>NI</td>\n",
       "      <td>NI</td>\n",
       "      <td>Neue Wahrheit? Kleine Wunder!, Museum Georg Sc...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vista</td>\n",
       "      <td>lamina</td>\n",
       "      <td>True</td>\n",
       "      <td>195.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190</th>\n",
       "      <td>190</td>\n",
       "      <td>71.e Vue d'Optique Representant Le Palais des ...</td>\n",
       "      <td>Anónimo</td>\n",
       "      <td>1775</td>\n",
       "      <td>Grabado</td>\n",
       "      <td>Aguafuerte</td>\n",
       "      <td>papel</td>\n",
       "      <td>NI</td>\n",
       "      <td>NI</td>\n",
       "      <td>71.e Vue d’Optique Representant Le Palais des ...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>vista</td>\n",
       "      <td>lamina</td>\n",
       "      <td>True</td>\n",
       "      <td>196.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>191</td>\n",
       "      <td>Plate X. A man with a Raree Show</td>\n",
       "      <td>George Henry Mason</td>\n",
       "      <td>1800</td>\n",
       "      <td>Grabado</td>\n",
       "      <td>Grabado</td>\n",
       "      <td>papel</td>\n",
       "      <td>NI</td>\n",
       "      <td>NI</td>\n",
       "      <td>Mason, George Henry. 1800. The Costume of Chin...</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>tipos humanos</td>\n",
       "      <td>libro</td>\n",
       "      <td>True</td>\n",
       "      <td>197.jpg</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192</th>\n",
       "      <td>192</td>\n",
       "      <td>Montaje de los perros en la obra de Roulin</td>\n",
       "      <td>François Desirée Roulin</td>\n",
       "      <td>1823</td>\n",
       "      <td>Montaje</td>\n",
       "      <td>Photoshop</td>\n",
       "      <td>digital</td>\n",
       "      <td>NI</td>\n",
       "      <td>NI</td>\n",
       "      <td>Colección de arte del Banco de laRepública</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>199.jpg</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>193 rows × 32 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       n                                              obras  \\\n",
       "0      0                                        Indio yumbo   \n",
       "1      1  Quadro de Historia Natural, Civil, y Geográfic...   \n",
       "2      2  Quadro de Historia Natural, Civil, y Geográfic...   \n",
       "3      3  Modos de cargar los indios a los que caminan p...   \n",
       "4      4  Camino por las montañas de la provincia de Ant...   \n",
       "..   ...                                                ...   \n",
       "188  188  Die Ausstellungsrotunde für das Panorama deuts...   \n",
       "189  189  Vue du Château d'eau Prise du Boulevard Saint ...   \n",
       "190  190  71.e Vue d'Optique Representant Le Palais des ...   \n",
       "191  191                   Plate X. A man with a Raree Show   \n",
       "192  192         Montaje de los perros en la obra de Roulin   \n",
       "\n",
       "                                                 autor  fecha    medio  \\\n",
       "0                                        Vicente Albán   1783  Pintura   \n",
       "1    Luis Thiebaut. Comisionado por José Ignacio Le...   1799  Pintura   \n",
       "2    Luis Thiebaut. Comisionado por José Ignacio Le...   1799  Pintura   \n",
       "3                        Anónimo. Expedición Malaspina   1791  Pintura   \n",
       "4                                              Anónimo   1800  Pintura   \n",
       "..                                                 ...    ...      ...   \n",
       "188                                Illustrirte Zeitung   1886  Grabado   \n",
       "189                     Nicolas Gengel, Adrien Dembour   1834  Grabado   \n",
       "190                                            Anónimo   1775  Grabado   \n",
       "191                                 George Henry Mason   1800  Grabado   \n",
       "192                            François Desirée Roulin   1823  Montaje   \n",
       "\n",
       "        tecnica material   alto ancho  \\\n",
       "0          Óleo   lienzo     80   109   \n",
       "1          Óleo   lienzo  118.5   331   \n",
       "2          Óleo   lienzo  118.5   331   \n",
       "3      Acuarela    papel     57    42   \n",
       "4        Dibujo    papel     NI    NI   \n",
       "..          ...      ...    ...   ...   \n",
       "188     Grabado    papel     NI    NI   \n",
       "189  Litografía    papel     NI    NI   \n",
       "190  Aguafuerte    papel     NI    NI   \n",
       "191     Grabado    papel     NI    NI   \n",
       "192   Photoshop  digital     NI    NI   \n",
       "\n",
       "                                                fuente  ... numeroCargueros  \\\n",
       "0                             Museo de América, Madrid  ...             1.0   \n",
       "1         Museo Nacional de Ciencias Naturales, Madrid  ...             1.0   \n",
       "2         Museo Nacional de Ciencias Naturales, Madrid  ...             1.0   \n",
       "3                 Museo de América, Madrid. Inv: 02218  ...             1.0   \n",
       "4           Archivo General de Indias, MP-ESTAMPAS,257  ...             2.0   \n",
       "..                                                 ...  ...             ...   \n",
       "188  Illustrirte Zeitung. 1886. v. 86. J.J. Weber. ...  ...             NaN   \n",
       "189  Neue Wahrheit? Kleine Wunder!, Museum Georg Sc...  ...             NaN   \n",
       "190  71.e Vue d’Optique Representant Le Palais des ...  ...             NaN   \n",
       "191  Mason, George Henry. 1800. The Costume of Chin...  ...             NaN   \n",
       "192         Colección de arte del Banco de laRepública  ...             NaN   \n",
       "\n",
       "    direccionMiradaCarguero direccionMiradaCargado direccionCargado  \\\n",
       "0                espectador                    NaN              NaN   \n",
       "1                     abajo                    NaN              NaN   \n",
       "2                     abajo                    NaN              NaN   \n",
       "3                    frente                 frente         adelante   \n",
       "4                     abajo                 arriba            atras   \n",
       "..                      ...                    ...              ...   \n",
       "188                     NaN                    NaN              NaN   \n",
       "189                     NaN                    NaN              NaN   \n",
       "190                     NaN                    NaN              NaN   \n",
       "191                     NaN                    NaN              NaN   \n",
       "192                     NaN                    NaN              NaN   \n",
       "\n",
       "    generoCargado figura/fondo         genero soporte  otros      src  \n",
       "0             NaN   equilibrio         castas  cuadro  False    1.png  \n",
       "1             NaN   equilibrio         castas  cuadro  False  102.jpg  \n",
       "2             NaN   equilibrio         castas  cuadro   True    2.png  \n",
       "3       masculino       figura         castas  lamina  False    3.png  \n",
       "4        femenino   equilibrio          vista  lamina  False    4.png  \n",
       "..            ...          ...            ...     ...    ...      ...  \n",
       "188           NaN          NaN          vista  prensa   True  194.jpg  \n",
       "189           NaN          NaN          vista  lamina   True  195.jpg  \n",
       "190           NaN          NaN          vista  lamina   True  196.jpg  \n",
       "191           NaN          NaN  tipos humanos   libro   True  197.jpg  \n",
       "192           NaN          NaN            NaN     NaN   True  199.jpg  \n",
       "\n",
       "[193 rows x 32 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Load data set\n",
    "data_path = \"./data/CargueroData.csv\"\n",
    "data = pd.read_csv(data_path)\n",
    "data_csv = data.to_csv(index=False)\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "Here it is worth reasserting that this collection of images does not intend to be exhaustive, but it is representative. In a Warburgian “good neighbor” spirit, the images collected are part of a lived collecting experience, sometimes intentional but sometimes fortuitous, mostly of one of the authors of this paper; this is specially the case in the post nineteenth century images like memes, parodies, and other types of reappropriations of the Carguero image (mostly, images after 1900). However, we do not see the tools used here as large scale, number crunching machines that extract general formal patterns in machine readable representations of cultural objects (i.e. distant reading qua (Moretti 2013)), but as interfaces that facilitate the process of subjective collection, interpretation, and presentation by the researchers, on one hand, and as tools for exploring arguments visually and interactively by users, allowing them to produce their own interpretations. Following Drucker (2020), we want to make explicit the act of subjective reading, and to use the tool not just for representing, but also for modelling interpretation: “[t]he idea of modelling implies that a graphical expression serves as a primary mode of knowledge production, not a secondary expression of preexisting data. This suggests that a graphical expression might be used to create and/or show the features of a model of interpretative activity” (2). In this sense, our method intends to integrate visual representation, interactivity, and textuality into a historic argument. Such subjectivity, nevertheless, is a rigorous act of applying a data-assisted methodology in the sense of Escobar Varela (2021), that is, using computers to view in different ways, to transform perspectives, and to “to enable alternative readings via a computational defamiliarization strategy” (p. 9)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "Next in the process, we used the filtering function of dictionary-like data structures, available in programming languages like Python and Javascript, to create subsets of our main dataset based on conditionals applied over different columns of temporal and categorical data; some of the concrete filters used for the Carguero dataset are described in detail in the next section. We understand conditional filtering as a way to interpret, in the sense of partially focusing on particular elements of interest in a group of objects to get insights that would not be apparent in a space with noisier, competing information. Thus, we use filtering both as a search strategy but also as an argumentative artifact; searching and focusing is useful to make connections evident and to make patterns more salient. This approach resonates with the subbranch of media studies called “software studies” (Manovich 2013; Montfort 2013), which intends to understand and make explicit how computational operations (for instance, loops, randomization, conditionals, functions, etc.) are culturally situated and become epistemological instruments and strategies for knowing and manipulating experience."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "We then used these filtered data subsets to create multiple graphics based on three types of data visualizations. These graphics are our own attempt at computationally generating Warburgian panels with meaningful intervals (Zwichenraum): circle packed tree maps (keyword “pack”), used to represent nested categorical hierarchies; 2D scatterplots (keyword “scatter”), used to represent relationships between two series of data in a cartesian plane; and simple adjacent dispositions of images (keyword “compare”), used to show particular details in pairs of images that deserve attention. With these three types of visualizations, we intend to show different aspects of our dataset: hierarchies and groupings, changes through time, numeric correlations, visual commonalities or differences. In this way, the particular disposition of each data visualization can be seen as a mechanism for giving emphasis to different Pathosformel, to focus on particular survival of thematic relationships, and to define a particular feature space."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "Finally, for creating an interactive story in Aventura.js, one must describe a set of scenes in a JavaScript Object. For each scene, there is a syntax to define interface elements, like the texts, images, buttons, and clickable areas, and hypertext elements —namely, to which other scenes it is possible to jump from the current scenes. An application called Aventura Interactiva, currently in beta version, offers a graphical user interface that facilitates building the scenes system [(To Aventura Interactiva)](https://srsergiorodriguez.github.io/aventura-interactiva/), and it allows exporting the scenes in a JSON file with the correct Aventura.js syntax. With this information, Aventura.js creates an interface that lets the user move between scenes. We propose that this hypertextual system is useful to create a z-dimension in which it is possible to move from one panel to another to further deepen the reading of the dataset and its iconographic relations. This hypertextual z-dimension is in essence non-linear, as the user can make decisions about which other panels or narrative paths to explore. Non-linearity allows the user to get into separate arguments or readings of the same dataset or to move from panoramic view into detailed looks of the objects represented. We defined a set of scenes based on particular readings, available data, and historic arguments about the image of the Carguero. Some of these readings are described in more detail in the following section."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "For combining the default scene system of Aventura,js with the requirements of this project, we wrote a set of functions that integrate and preprocess the conditional filtering strategy and the data visualizations before the scenes are rendered. These functions take a conventional Aventura.js set of scenes, enhanced with additional information about the filters and types of visualizations expected for each scene, and, behind the scenes, converts that information into full graphics derived from the limited subset. These ad-hoc functions are currently a prototype that could eventually be fused into the main code of Aventura.js to expand its functionality and to facilitate scholarly projects similar to the one we propose here. At the moment, these additional functions were hosted in a notebook from the coding platform Observable for the JavaScript programming language."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T13:47:22.181258Z",
     "iopub.status.busy": "2024-02-23T13:47:22.180954Z",
     "iopub.status.idle": "2024-02-23T13:47:22.237786Z",
     "shell.execute_reply": "2024-02-23T13:47:22.236984Z"
    },
    "tags": [
     "hermeneutics"
    ]
   },
   "outputs": [],
   "source": [
    "# This cell shows the scenes that describe the structure of the interactive panels\n",
    "# This dictionary contains information for some of the scenes that will be part of the panel\n",
    "# Such information includes things like: filters, types of visualization, hypertextual connections, metadata and texts\n",
    "# The extra functions created for this project will process this dictionary, apply the filters, and render the visualizations, and will automatically inject additional scenes. For instance, one scene for each image with its corresponding metadata\n",
    "\n",
    "scenes = {\n",
    "  \"start\": {\n",
    "    \"viz\": {\"filter\":[], \"type\": \"compare\", \"x\": 6, \"y\": 11},\n",
    "    \"title\": \"A comparison between Humboldt's and Roulin's Carguero models\",\n",
    "    \"text\": \"Consider two models of the Carguero (Man carrier), the representation of subalternized people that were used as means of transport in the harsh geographical accidents of nineteenth-century Colombia, and other places in South America. The first model comes from the famous Prussian naturalist Alexander von Humboldt, who, in his diary, and later in his work Vues des Cordillères, recorded his encounter with a Carguero named Villanero. His description of the encounter became famous and a point of reference for a large number of travelers when describing their own experiences. The second one is the model of François Desiré Roulin, a scientific traveler who made part of an expedition composed of French professionals recommended by Georges Cuvier and Alexander von Humboldt to the plenipotentiary minister of Gran Colombia, Francisco Antonio Zea.<br>Note: the panels in this Atlas contain clickable areas.\",\n",
    "    \"options\": [ { \"btn\": \"Continue main route\", \"scene\": \"scatterPeriodoFigura\" } ]\n",
    "  },\n",
    "  \"scatterPeriodoFigura\": {\n",
    "    \"viz\": {\"filter\": [ [\"fecha\", \"<\", 1900], [\"otros\", \"=\", \"false\"] ], \"type\": \"scatter\", \"x\": \"periodo\", \"y\": \"figura/fondo\"},\n",
    "    \"title\": \"Figure/Background vs. Period\",\n",
    "    \"text\": \"This panel shows that there are more images in the 'background' (fondo) and 'balance' (equilibrio) categories in the period between 1770 and 1810 than in other periods, that is, there is a predominance of representations of the Carguero as a part of the landscape, rather than as the center of attention. Images from the late colonial period (1770-1810) participated in a transformation in visual epistemology characterized by presenting different human classifications, understood as castes or nations, in their immediate geographical contexts, including the animal and botanical varieties peculiar to them.\",\n",
    "    \"options\": [\n",
    "      { \"btn\": \"Continue main route\", \"scene\": \"pack1750_1810\" },\n",
    "      { \"btn\": \"Detour: 'Quadro del Perú'\", \"scene\": \"detour1\"}\n",
    "    ]\n",
    "  },\n",
    "  \"detour1\": {\n",
    "    \"meta\": 1,\n",
    "    \"text\": \"From <a href='https://flacso.edu.ec/laglobal/cabinet/artificialia/quadro-del-peru/' target='_blank'>CLACSO's LAGLOBAL</a>: 'The Quadro’s primary author was José Ignacio de Lequanda (Vizcaya 1748 – Cadiz 1800). The illustrations were made by Louis Thiebaut from many sources, including the so-called Trujillo del Perú Codex (1782–85) and the Malaspina Expedition (1789-1794). Lequanda resided for most of his productive life in Lima, where he contributed to the Mercurio Peruano (1791–94). The material of the Quadro is oil on canvas but it is distinguished by its unusual dimensions (331 cm × 118 cm) and composition: 195 scenes with 381 figures surrounded by explanatory text. In addition, the framed canvas is crowned and gilded with twin cornucopias graced by a sheaf of arrows, symbolising the bounty or ‘treasure’ of the New World under Hispanic Monarchy. The two central geographical images (an east-up map of central Peru, and below it a profile view of the rich mines at Hualgayoc) form an axis that represents the new economic centre of 18th-century Peru, which had shifted from Potosí to the region adjacent to Lima. The central region united three major ecological and productive zones. In the Quadro, this vertical economic geography is represented by the unfolding of a concentric sequence of niches populated by fishes and amphibians, small and large quadrupeds, simians, and humans. The latter is divided in two classes, ‘civilised’ (or coastal and highland) and ‘savage’ (or Amazonian), with each composed of 16 ‘nations’. Birds occupy the perimeter of the Quadro, seemingly lifting the entire canvas on their wings. In a word, the Quadro is a tableau that reveals in a synoptic visual field what today we call ‘biodiversity’ but which in enlightened circles of the times was called ‘the idea of Peru.’ This ‘idea’ held that Peru was a mirror of the universe and the crown jewel of Hispanic Empire'.\",\n",
    "    \"areas\": [\n",
    "      { \"x\": 424, \"y\": 348, \"w\": 621, \"h\": 338, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"nacionesCivilizadas\" },\n",
    "      { \"x\": 1293, \"y\": 329, \"w\": 395, \"h\": 417, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"detalleNacionSalvaje\" }\n",
    "    ]\n",
    "  },\n",
    "  \"nacionesCivilizadas\": {\n",
    "    \"meta\": 2, \"options\": [ { \"btn\": \"Back to main route\", \"scene\": \"scatterPeriodoFigura\"} ]\n",
    "  },\n",
    "  \"detalleNacionSalvaje\": {\n",
    "    \"meta\": 107,\n",
    "    \"title\": \"Detail of 'Quadro del Perú': wild nations\",\n",
    "    \"text\": \"The two characters depicted here were protagonists of a network of model copying (the 'visible empire' in the words of Art Historian Daniela Bleichmar), exemplary of the practices of image circulation used to govern from a distance, coordinate between administrative units, and circulate knowledge in the late eighteenth century Hispanic empire.\",\n",
    "    \"options\": [ { \"btn\": \"Back to main route\", \"scene\": \"scatterPeriodoFigura\"} ],\n",
    "    \"areas\": [ { \"x\": 637, \"y\": 392, \"w\": 1274, \"h\": 783, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"relacion\" } ]\n",
    "  },\n",
    "  \"relacion\": {\n",
    "    \"meta\": 106,\n",
    "    \"title\": \"Detail of Viceroy Gil de Taboada's Government report\",\n",
    "    \"text\": \"For instance, these images were used in a government report where Viceroy Gil de Taboada addressed his successor, Ambrosio O'Higgins, Marquess of Osorno. This report, concluded in 1796, was elaborated by two of the advisers of the former ruler: Hipólito Unanue and the accountant José Ignacio de Lecuanda.\",\n",
    "    \"options\": [ { \"btn\": \"Back to main route\", \"scene\": \"scatterPeriodoFigura\"} ],\n",
    "    \"areas\": [ { \"x\": 220, \"y\": 215, \"w\": 440, \"h\": 430, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"indiosMalaspina\" } ]\n",
    "  },\n",
    "  \"indiosMalaspina\": {\n",
    "    \"meta\": 103,\n",
    "    \"title\": \"Bauza collection form Malaspina Expedition\",\n",
    "    \"text\": \"The characters originally belonged to a series of plates made in the context of the Malaspina expedition, currently located in the Museum of America in Madrid under the 'Bauza collection'. The images refer to Peru. The botanists Luis Née, Tadeo Haenke and the commissioners of the Viceroy Gil de Taboada, Juan Tafalla and Francisco del Pulgar, participated in this enterprise. One of the most important areas of exploration was coming in direct contact with native populations of the Amazon. In their visual composition, some of these images put together two types of Indians from a given region and add an explanatory text.\",\n",
    "    \"options\": [ { \"btn\": \"Back to main route\", \"scene\": \"scatterPeriodoFigura\"} ],\n",
    "    \"areas\": [ { \"x\": 547, \"y\": 273, \"w\": 374, \"h\": 540, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"indioIquito\" } ]\n",
    "  },\n",
    "  \"indioIquito\": {\n",
    "    \"meta\": 104,\n",
    "    \"title\": \"Bauza collection form Malaspina Expedition\",\n",
    "    \"text\": \"The authorship of these images is under discussion. They are generally attributed to an anonymous painter and sometimes to Tadeo Haenke. Although all the images are in the same collection, and it has traditionally been assumed that they were made in the context of the Malaspina Expedition, there are doubts about authorship consistency between the images that present the Indians in pairs and those that present them individually. On the one hand, based on a formal study of the style, the ink and the paper used, Fernando Villegas has affirmed that the first series of images were not elaborated by the expeditionaries of the Malaspina Expedition but were made during the exploration of Governor Francisco Requena and the priest Gribal. On the other hand, Peralta Ruiz affirms that the resemblance between the two series of images proves that the expeditionaries in charge of Malaspina (Nee and Haneke) came across Gribal and Requena and allowed them to copy their drawings.\",\n",
    "    \"options\": [ { \"btn\": \"Back to main route\", \"scene\": \"scatterPeriodoFigura\"} ]\n",
    "  },\n",
    "  \"pack1750_1810\": {\n",
    "    \"viz\": {\"filter\": [ [\"periodo\", \"=\", \"1750 - 1810\"], [\"otros\", \"=\", \"false\"] ], \"type\": \"pack\", \"x\": \"figura/fondo\", \"y\":\"figura/fondo\"},\n",
    "    \"title\": \"Figure/background in the 1750 - 1810 period\",\n",
    "    \"text\": \"Variations around the idea of placing human types in their geographical and natural contexts can be seen in Vicente Albán's mestizaje paintings, and in Quadro del Perú commissioned by Ignacio Lecuanda. This transformation is, paradigmatically, also present in Humboldt's Plate V of Vues des Cordillères, depicting the Carguero. There is a balance in representation of natural objects along with the activities of the Carguero, as they are all illustrative elements of the use of plants, means of transport, and other particularities of Andean verticality. This explains why during this period the 'balance' (equilibrio) category is preponderant\",\n",
    "    \"options\": [\n",
    "      { \"btn\": \"Continue main route\", \"scene\": \"scatterRoulin\" },\n",
    "      { \"btn\": \"Detour through 'Plate V of Vues des Cordillères'\", \"scene\": \"detour2\" }\n",
    "    ]\n",
    "  },\n",
    "  \"detour2\": {\n",
    "    \"meta\": 6,\n",
    "    \"text\": \"Plate V of Vues, showing the passage of the Quindío region, is an important window to Humboldt's conceptions about the mixing art and science for the purpose of sensitively presenting vertical American nature. Oliver Lubrich refers to plate V of Vues as a multiple perspective drawing, designed from the points of view of different disciplines, and open to diverse readings. The image can offer aesthetic enjoyment and relevant information to botanists, geologists, mineralogists, and meteorologists. This is because there are plants, landscapes, cloud formations, geological profiles, villages, an inter-Andean valley, an eastern mountain range, multiple signs that show the climate, vegetation, location, and social and productive activities that are carried out with plants and natural resources in general. In addition, it tells a sociological and political story related to Cargueros who work with travelers and who stage a series of socual oppositions and complexities typical of the mountainous Andean world, colonial society, and global society in aprocess of transformation. In the image we see a Carguero who stares at the viewer while walking with his empty chair, probably the one that should have been occupied by Humboldt, who refused to use the service. In this sense, it could be said that the image is a 'picture or scene of nature' which presents a careful organization of the landscape so that various natural and cultural phenomena interact and account for organic functioning.\",\n",
    "    \"options\": [\n",
    "      { \"btn\": \"Back to main route\", \"scene\": \"pack1750_1810\"},\n",
    "      { \"btn\": \"Humboldt as source model\", \"scene\": \"humboldtPack\"}\n",
    "    ],\n",
    "    \"areas\": [\n",
    "      { \"x\": 907, \"y\": 660, \"w\": 316, \"h\": 474, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"villanero\" },\n",
    "      { \"x\": 1225, \"y\": 619, \"w\": 273, \"h\": 547, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"agave\" },\n",
    "      { \"x\": 615, \"y\": 342, \"w\": 727, \"h\": 453, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"humboldtPack\" }\n",
    "    ]\n",
    "  },\n",
    "  \"villanero\": {\n",
    "    \"meta\": 122,\n",
    "    \"options\": [  { \"btn\": \"Back to main route\", \"scene\": \"pack1750_1810\"} ],\n",
    "    \"areas\": [ { \"x\": 157, \"y\": 242, \"w\": 120, \"h\": 154, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"bijao\" } ]   \n",
    "  },\n",
    "  \"bijao\": {\n",
    "    \"meta\": 119,\n",
    "    \"text\": \"The Cargueros act as guides and make it possible to cross the difficult path, not only because of their physical strength, but also because of the knowledge they have of the landscape they inhabit. They know the signs of the terrain, climate, and usefulness of plants. The same Carguero, the one in the image that stares at the viewer and has an empty chair, carries in his hands some bijao leaves that, the story tells us, will later be used to make tents and shelter from the rain.Humboldt draws the bijao leaves in his diary\",\n",
    "    \"options\": [ { \"btn\": \"Back to main route\", \"scene\": \"pack1750_1810\"} ]\n",
    "  },\n",
    "  \"agave\": {\n",
    "    \"meta\": 120,\n",
    "    \"text\": \"There is a flowering Fique or Agave on the right side of the Plate V of Vues. This plant is used for the elaboration of ropes that tie the Bijao leaves and secure the tents. In Humboltd's diaries, there are drawings of the tents specifying how to tie them so that they are resistant. In the story, these plants are considered regarding their geographical location in relation to altitude, taxonomically by being categorized into families and species, and by their usefulness by speculating about their industrial applications.\",\n",
    "    \"options\": [ { \"btn\": \"Back to main route\", \"scene\": \"pack1750_1810\"} ]\n",
    "  },\n",
    "  \"humboldtPack\": {\n",
    "    \"viz\":{ \"filter\": [ [\"modelo\", \"=\", \"humboldt\"], [\"otros\", \"=\", \"false\"] ], \"type\": \"pack\", \"x\": \"modelo\", \"y\": \"modelo\"},\n",
    "    \"title\": \"Humboldt as source model\", \"text\": \"\",\n",
    "    \"options\": [ { \"btn\": \"Back to main route\", \"scene\": \"pack1750_1810\"} ]\n",
    "  },\n",
    "  \"scatterRoulin\": {\n",
    "    \"viz\": {\"filter\": [ [\"fecha\", \"<\", 1900], [\"otros\", \"=\", \"false\"] ], \"type\": \"scatter\", \"x\": \"periodo\", \"y\": \"modelo\"},\n",
    "    \"title\": \"Source model vs. Period\",\n",
    "    \"text\": \"As seen in this panel the most used model during the period '1819 – 1850' was Roulin’s...\",\n",
    "     \"options\": [ { \"btn\": \"Continue main route\", \"scene\": \"packRoulin\" } ]\n",
    "  },\n",
    "  \"packRoulin\": {\n",
    "    \"viz\": {\"filter\": [ [\"fecha\", \"<\", 1900], [\"periodo\", \"=\", \"1819 - 1850\"], [\"otros\", \"=\", \"false\"] ], \"type\": \"pack\", \"x\": \"periodo\", \"y\": \"modelo\"},\n",
    "    \"title\": \"Source model in the 1819 - 1850 period\",\n",
    "    \"text\": \"As an alternate visualization, Roulin's predominance can also be seen in this hierarchichal disposition of source models in the 1819 - 1850 period.\",\n",
    "    \"options\": [ { \"btn\": \"Continue main route\", \"scene\": \"packHumboldtPeriodo\" } ]\n",
    "  },\n",
    "  \"packHumboldtPeriodo\": {\n",
    "    \"viz\": {\"filter\": [ [\"fecha\", \"<\", 1900], [\"otros\", \"=\", \"false\"], [\"modelo\", \"=\", \"humboldt\"] ], \"type\": \"pack\", \"x\": \"periodo\", \"y\": \"figura/fondo\"},\n",
    "    \"title\": \"Humboldt's Figure/Background and Periods\",\n",
    "    \"text\": \"This panel shows that, in the '1819-1850' period, some of the images that used Humboldt’s image as a model turned the landscape into 'figures' (figura), that is, gave preponderance to the lanscape instead of the characters, and some even took the figures out and turned the images into pure landscape representations, that is, 'background' or (fondo)\",\n",
    "    \"options\": [ { \"btn\": \"Continue main route\", \"scene\": \"roulinHumboldt\" } ]      \n",
    "  },\n",
    "  \"roulinHumboldt\": {\n",
    "    \"viz\": { \"filter\":[], \"type\": \"compare\", \"x\": 6, \"y\": 11 },\n",
    "    \"title\": \"Second Comparison between Humboldt's and Roulin's Carguero images\",\n",
    "    \"text\": \"In general, Roulin's is the most used model, although all travelers quote Humboldt as a reference for the description of the Cargueros, they do not use his image as a reference. This comparison panel shows the evident differences in composition for both models. While Humboldt's image highlights the Carguero as part of the landscape, Roulin’s highlights its bodily features.\",\n",
    "    \"options\": [ { \"btn\": \"Continue main route\", \"scene\": \"roulinModel\" } ]\n",
    "  },\n",
    "  \"roulinModel\": {\n",
    "    \"viz\": { \"filter\": [ [\"fecha\", \"<\", 1900], [\"modelo\", \"=\", \"roulin\"], [\"otros\", \"=\", \"false\"] ], \"type\": \"pack\", \"x\": \"modelo\", \"y\": \"soporte\"},\n",
    "    \"title\": \"Material substrates of Roulin's derivations\",\n",
    "    \"text\": \"Here we can observe the great diversity of media in which this model circulated, adapted by communities of interpretation that demanded new epistemic and aesthetic criteria of validity.\",\n",
    "    \"options\": [\n",
    "      { \"btn\": \"Practices of image circulation\", \"scene\": \"circulationInscription\" },\n",
    "      { \"btn\": \"Animal and Human types\", \"scene\": \"animalHumanTypes\" },\n",
    "      { \"btn\": \"Continue main route\", \"scene\": \"roulinQuindio\"}\n",
    "    ]\n",
    "  },\n",
    "  \"circulationInscription\": {\n",
    "    \"viz\": { \"filter\":[], \"type\": \"compare\", \"x\": \"166\", \"y\": \"167\" },\n",
    "    \"title\": \"Techniques of inscription and practices of image circulation\",\n",
    "    \"text\":\"The drawings and images made by Roulin participated in a network of image circulation of 19th century visual culture, which involved the rationalization of production, division of labor, and mass production for a market of travelers who were interested in these products. And throughout the twentieth century, and even today, these images have been predominantly seen as visual testimonies of the early republic and, as such, have been integrated into narratives of nation building. The images share a series of iconographic coincidences that indicate the practice of adapting models to different contexts by means of details, such as the background, tools, clothing, costumes, and other elements that vary between compositions. These practices show 'multiple authorship' and 'multiple originals' in the postcolonial Hispanic space. An eloquent case is the correspondence and contrast between the plate 'Taking chocolate in Bogotá', from Joseph Brown's collection, and the plate 'Caballero tomando Té', from the 'De Santiago a Mendoza' collection attributed to Alphonse Giast. The characters are in similar positions, but their clothing, hairstyles, skin complexion, watercolor background, and distribution of surrounding elements change from one image to another. One of the most interesting elements of the contrast is the identification of a 'bombilla' for drinking mate on the table in the background of the watercolor attributed to Giast, a practice characteristic of Chile and Argentina that, on the contrary, was not carried out in Nueva Granada.\",\n",
    "    \"options\": [ { \"btn\": \"Roulin's hypothetical album\", \"scene\": \"roulinAlbum\"} ]\n",
    "  },\n",
    "  \"roulinAlbum\": {\n",
    "    \"meta\": 165,\n",
    "    \"title\": \"Roulin's hypothetical album\",\n",
    "    \"text\": \"The 'De Santiago to Mendoza collection' coincides with some of Roulin's models. One example, among other possible ones, is the plate 'Mujer con balde' from the Chilean collection, which shows in the foreground a character derived from the the background of Roulin's watercolor 'Place de St. Victorin, à Bogota'. In addition, the composition of the space is different, a different perspective with coinciding elements. Roulin's prominence in the visual culture of the early Republican period is extended. For example, Auguste Le Moyne copied the profile of Simón Bolívar drawn by Roulin in 1828; his watercolors were copied and published in the travelogues of Gaspar Mollien (1824), John Potter Hamilton (1827), Guilaume Lallement (1826), Alcide D'Orbigny (1841) and M. A. de Latrre (1848). Modifications of his motifs can also be found in engravings by John Potter Hamilton (1827, 1993), Gaetano Osculati (1954), and Cesar Famin (1837). Thus, is is possible that Roulin may have had a catalogue of plates at the service of travelers with scenes of customs, types, views, and monuments.\",\n",
    "    \"options\": [ { \"btn\": \"Back to main route\", \"scene\": \"roulinModel\"} ],\n",
    "    \"areas\": [\n",
    "      { \"x\": 199, \"y\": 350, \"w\": 156, \"h\": 283, \"btn\": \"\", \"tooltip\": \"\", \"name\": \"mujer\", \"scene\": \"roulinPlaza\" },\n",
    "      { \"x\": 303, \"y\": 339, \"w\": 154, \"h\": 137, \"btn\": \"\", \"tooltip\": \"\", \"name\": \"area\", \"scene\": \"roulinPlaza\" }\n",
    "    ]\n",
    "  },\n",
    "  \"roulinPlaza\": {\n",
    "    \"meta\": 154,\n",
    "    \"options\": [\n",
    "      { \"btn\": \"Back to Roulin's hypothetical album\", \"scene\": \"roulinAlbum\"},\n",
    "      { \"btn\": \"To Costumes/Colombie\", \"scene\": \"costumesColombie\"}\n",
    "    ],\n",
    "    \"areas\": [\n",
    "      { \"x\": 400, \"y\": 762, \"w\": 152, \"h\": 276, \"btn\": \"\", \"tooltip\": \"\", \"name\": \"cargando\", \"escena\": \"agachado\" },\n",
    "      { \"x\": 586, \"y\": 708, \"w\": 140, \"h\": 152, \"btn\": \"\", \"tooltip\": \"\", \"name\": \"agachado\", \"escena\": \"agachado\" },\n",
    "      { \"x\": 748, \"y\": 653, \"w\": 104, \"h\": 178, \"btn\": \"\", \"tooltip\": \"\", \"name\": \"mujerConBalde\", \"escena\": \"roulinAlbum\" },\n",
    "      { \"x\": 382, \"y\": 439, \"w\": 400, \"h\": 350, \"btn\": \"\", \"tooltip\": \"\", \"name\": \"fuente\", \"escena\": \"roulinAlbum\"  },\n",
    "      { \"x\": 1075, \"y\": 838, \"w\": 258, \"h\": 204, \"btn\": \"\", \"tooltip\": \"\", \"escena\": \"perro\" } \n",
    "    ]\n",
    "  },\n",
    "  \"animalHumanTypes\": {\n",
    "    \"viz\": {\"filter\": [ [\"modelo\", \"=\", \"roulin\"], [\"genero\", \"=\", \"tipos animales\"] ], \"type\": \"pack\", \"x\": \"modelo\", \"y\": \"genero\"},\n",
    "    \"title\": \"Roulin's Animal types\",\n",
    "    \"text\": \"In relation to the aesthetic and scientific conditions of acceptability, Roulin's conceptual and visual universe is directly related to his scientific training as a physiologist practicing comparative anatomy in the scientific circle of the Academy of Natural Sciences in Paris. He published some of the results of his research in the Annales des Sciences Naturelles and participated in the edition of Le Règne Animal created by Cuvier's disciples in 1836. Roulin's watercolors and drawings show his interest in highlighting aspects related to the animal and human classification that had been postulated in his scientific circle, which, from a visual point of view, sought to establish relationships between external characters, with the systematic functioning of internal organs. This panel shows the animal types represented in a publication on the Tapir in the Annals of Natural Science and some drawings found in Roulin's notebooks. <img src='https://lh3.googleusercontent.com/d/18XgsbcnSER4Y2z1dxNErwKX6pwV8fZt_'>The tapir was drawn from the carcasses of a pair of specimens found in Sumapaz páramo, near Bogotá. He had to content himself with making an abbreviated description on the spot, and drawing a simple line in pencil. A Wollaston camera-lucida helped him to draw the outline of the head. In this way, Roulin completed a series of drawings that were placed before the eyes of the academy when attached to his memoir published in the Annales des Sciences Naturelles\",\n",
    "    \"options\": [\n",
    "      { \"btn\": \"Back to main route\", \"scene\": \"roulinModel\"},\n",
    "      { \"btn\": \"Roulin's Human types\", \"scene\": \"roulinHuman\"},\n",
    "      { \"btn\": \"Detour through Roulin's dogs\", \"scene\": \"perro\" }\n",
    "    ]\n",
    "  },\n",
    "  \"perro\": {\n",
    "    \"meta\": 192,\n",
    "    \"text\": \"Roulin also published a memoir in the Annales des Sciences Naturelles in 1829 about domestic animals brought from Europe to the New World. Some of the watercolors, found in 2003, can be interpreted in relation to this publication. The watercolor 'Bords de la Magdelaine. Ménage d'une famille de pêcheur' of 1823 seems to be an illustration of the text in which it is mentioned that the 'dogs of hot climate (perros de tierra caliente)' that live with the fishermen on the banks of the Magdalena River, have a deteriorated breed due to lack of food and exceptional conditions that force the animals to return to wild states. In Roulin's Plates, such as 'Bords de la Magdelaine', 'Place de St. Victorin à Bogotá' or 'Entrée du marché de Honda', dogs can be seen living side by side with humans in different climates and regions. This allows us to see how dogs have changed and adapted to different environments and situations, and how they have been affected by the communities in which they live. Ultimately, Roulin's watercolors, in conjunction with his written memoir, offer valuable insights into changes in domestic animals and their relationship to climates and communities in the New World.\",\n",
    "    \"options\": [\n",
    "      { \"btn\": \"Back to Roulin's hipotetic album\", \"scene\": \"roulinAlbum\"},\n",
    "      { \"btn\": \"Back to Costumes/Colombie\", \"scene\": \"costumesColombie\"}\n",
    "    ],\n",
    "    \"areas\": [\n",
    "      { \"x\": 473, \"y\": 205, \"w\": 348, \"h\": 249, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"perro1\" },\n",
    "      { \"x\": 305, \"y\": 569, \"w\": 338, \"h\": 304, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinPlaza\" },\n",
    "      { \"x\": 368, \"y\": 1006, \"w\": 343, \"h\": 276, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinMayor\" },\n",
    "      { \"x\": 858, \"y\": 982, \"w\": 338, \"h\": 205, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"perro4\" },\n",
    "      { \"x\": 1334, \"y\": 983, \"w\": 388, \"h\": 257, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinMayor\" },\n",
    "      { \"x\": 1327, \"y\": 610, \"w\": 385, \"h\": 252, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"perro6\" },\n",
    "      { \"x\": 1344, \"y\": 261, \"w\": 361, \"h\": 257, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"perro7\" },\n",
    "      { \"x\": 802, \"y\": 587, \"w\": 499, \"h\": 398, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"bordes\" }\n",
    "    ]\n",
    "  },\n",
    "  \"bordes\": { \"meta\": 146 }, \"perro1\": { \"meta\": 156 }, \"perro7\": { \"meta\": 148 }, \"perro4\": { \"meta\": 149 }, \"perro6\": { \"meta\": 159 },\n",
    "  \"roulinMayor\": {\n",
    "    \"meta\": 153,\n",
    "    \"options\": [\n",
    "      { \"btn\": \"Back to Roulin's hypothetical album\", \"scene\": \"roulinAlbum\"}\n",
    "    ],\n",
    "    \"areas\": [\n",
    "      { \"x\": 477, \"y\": 575, \"w\": 121, \"h\": 325, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"mujerSombrero\" },\n",
    "      { \"x\": 894, \"y\": 695, \"w\": 215, \"h\": 465, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"sacerdote\" },\n",
    "      { \"x\": 133, \"y\": 850, \"w\": 169, \"h\": 139, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"perro\" },\n",
    "      { \"x\": 1123, \"y\": 639, \"w\": 157, \"h\": 117, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"perro\" }\n",
    "    ]  \n",
    "  },\n",
    "  \"roulinHuman\": {\n",
    "    \"viz\": {\"filter\":[ [\"modelo\", \"=\", \"cuvier\"] ], \"type\": \"pack\", \"x\": \"modelo\", \"y\": \"modelo\" },\n",
    "    \"title\": \"Roulin's Human types\",\n",
    "    \"text\": \"In the specific classification of the human race as a bipedal mammal, Cuvier considered that its development was determined by external aspects, such as climate or geography, and internal aspects, such as the intellectual characteristics of the races. These were organized in a hierarchy that descended from the Caucasian race to the Ethiopian, which was represented as the least developed. The position of Americans in this classification was uncertain, since it was not possible to resolve the multiplicity of characteristics observed in the same category. In fact, Roulin drew from Cuvier’s disciples edition of Le Règne Animal some of the plates of American types that illustrate their difficult classification, and is cited as one of the travellers who provided information on the subject.\",\n",
    "    \"options\": [\n",
    "      { \"btn\": \"Comparision between Roulin's Animal Kingdom plate and a watercolour plate\", \"scene\": \"types\" },\n",
    "      { \"btn\": \"To Costumes/Colombie\", \"scene\": \"costumesColombie\"},\n",
    "      { \"btn\": \"Back to main route\", \"scene\": \"roulinModel\"}\n",
    "    ]\n",
    "  },\n",
    "  \"types\": {\n",
    "    \"viz\": {\"filter\": [[]], \"type\": \"compare\", \"x\": \"138\", \"y\": \"143\"},\n",
    "    \"title\": \"Comparision between Roulin's Animal Kingdom plate and a watercolour plate\",\n",
    "    \"text\": \"Roulin's training in physiology and comparative anatomy allowed him to direct his gaze towards aspects other than landscapes, focusing on the study of anatomy, races, and how environmental factors affect organisms. One of Roulin's watercolors can serve as an illustration: 'Bords de la Magdelaine. Le bal du petit ange' (Banks of the Magdalena. The little angel's dance). The image shows the funeral ritual of the inhabitants of the banks of the Magdalena River. There is a crowd circle animating the dance of two Afro-American people in the center. Both subjects had darker skin color and characteristics that could be imputed to the race Cuvier calls 'Ethiopian,' such as curly hair. On the other hand, the subjects in the crowd cheering with palms and instruments have some of the characteristics given by Cuvier to the indeterminate American race, such as straight hair and 'copper red' skin color.\",\n",
    "    \"options\": [ { \"btn\": \"Back to main route\", \"scene\": \"roulinModel\"} ]\n",
    "  },\n",
    "  \"roulinQuindio\": {\n",
    "    \"viz\": {\"filter\": [[]], \"type\": \"compare\", \"x\": \"11\", \"y\": \"22\"},\n",
    "    \"title\": \"Roulin, d'Orbigny and the category of 'type'.\",\n",
    "    \"text\": \"The sketch of the camp on the Quindío road was reproduced in the biography of Roulin, along with several other sketches, published by Marguerite Combes in 1929. The drawing shows a camp in which a Carguero can be seen at the center of the composition. According to Combes, the man with an open umbrella being loaded is a notary who accompanied Roulin and Boussigault on the mission to inspect and draw up the plan of the mines of La Vega de Supía. Combes mistakenly states that the subject in the lower right is Boussingault. Roulin makes a direct reference to this drawing in a footnote in an article on the Tapir in his collection of scientific papers called 'Histoire naturelle et souvenirs de voyage' of 1865. Roulin made this drawing on behalf of Humboldt. Roulin’s sketch of the Carguero was modified and turned into an engraving in Alcide d'Orbigny's travelogue, 'Voyage Pittoresque dans les deux Amériques', a popular book that contributed significantly to the dissemination of knowledge of Colombia in Europe. D'Orbigny, a mollusk specialist, belonged to the same scientific circle as Cuvier and Roulin. Like the latter, he was credited as a 'disciple' in the 1836 edition of Le Règne Animal. In fact, his figure plays a fundamental role in research on the determination of the racial characteristics of Americans for Cuvier's classification of that book. In 1825, he was commissioned by the Museum of Natural History in Paris to investigate 'in depth the language and physiological characteristics' of South American people. As an analytical tool, Roulin and d'Ornigny helped transpose, from the comparative anatomy of animals, the category of 'type' to find a way to organize the multiplicity of human populations existing in America. In this sense, Roulin's and d'Orbigny's Carguero drawings can be interpreted as an investigation into a 'social type' that existed because of specific climatic, geographical, and racial features. These are rationalized by the observations of the external characters and their relations with internal organic functioning. Roulin refers to the Carguero as a 'human mount', hinting at a comparison of different modes of transportation and uses of human and animal muscle-driven motion power.\",\n",
    "    \"options\": [ { \"btn\": \"Continue route\", \"scene\": \"roulinHamilton\"} ]\n",
    "  },\n",
    "  \"roulinHamilton\": {\n",
    "    \"viz\": {\"filter\": [[]], \"type\": \"compare\", \"x\": \"11\", \"y\": \"14\"},\n",
    "    \"title\": \"Hamilton Picturesque Carguero\",\n",
    "    \"text\": \"A derivation of Roulin's model of the Carguero is found in the travelogue of the British Diplomat Colonel John Potter Hamilton, the first official envoy on behalf of the British government to Colombia. After returning to his homeland, he published his travelogue with the famous publishing house John Murray. This publishing house was noted, among other things, for tapping into the demand for such products, and published more than 200 travel books during the first half of the 19th century. Hamilton used, with adaptations, several of Roulin's models in his book. In particular, the image of the Carguero changes the direction of the characters and places them on a laborious ascent. They climb around a tree on the curve of a steep mountain road (see graphical comparison). The image is similar to other images of the period, like those in the travelogues of British merchant traveller Charles Stuart Cochrane and Swedish diplomatic traveller August Gosselman. These images are characterized by the use of a picturesque aesthetic as a strategy to frame the landscape and recompose it with industrious human figures, settlements, crops, and productive animals, in contrast to the untamed wilderness that still needs to be controlled by man. In these stories, the images coexist with visual metaphors that frame the observations of nature as 'pictures', 'paintings', 'drawings', 'sketches', 'maps', 'scenery', 'beautiful shows', 'dioramas', 'panoramas', 'magic lanterns' or 'Peep Shows'. The use of the Carguero image is indicative of the resignification of picturesque aesthetics in the voyages to America, characterized by the use of ethnographic and social themes of concern to travellers of the period, who were, in Mary Louis Pratt's words, the avant-garde of capitalism.\",\n",
    "    \"options\": [ { \"btn\": \"To Costumes/Colombie\", \"scene\": \"costumesColombie\"} ]\n",
    "  },\n",
    "  \"costumesColombie\": {\n",
    "    \"meta\": 21,\n",
    "    \"title\": \"Costumes/Colombie\",\n",
    "    \"text\": \"Through Hamilton's Carguero, Roulin's model found its way into the volume on Colombia of the monumental 67-volume encyclopedic Collection: L'Univers Pittoresque. The cabinet traveller César Famin arranged on a generic natural background a set of figures that mixed the costumes of Colombia and Guyana. The Collection: L'Univers Pittoresque, in which Famin participated, and d'Orbigny's Voyage pittoresque, are examples of how, in France, the 'picturesque' was understood as a publishing guideline; a way of making books and periodicals, richly illustrated and with complex logistical processes.  The books and images of the travellers are used as privileged sources of information for these encyclopedic projects with pretensions of synthesis. An image of the Carguero is representative of this procedure. It does not pretend to be a faithful representation of nature, but rather constructs a generic exoticizing space that synthesizes Famin's entire journey through Guyana and Colombia. Different human types and their costumes are arranged in juxtaposition to establish comparisons and contrasts between them. In this way, the pretension of travel books to bring distant geography closer, so that it can be experienced without leaving home, is realized and replicated with cabinet travels.\",\n",
    "    \"options\": [\n",
    "      { \"btn\": \"Back to Roulin's hypothetical album\", \"scene\": \"roulinAlbum\"},\n",
    "      { \"btn\": \"Continue route\", \"scene\": \"roulinPrensa\" }\n",
    "    ],\n",
    "    \"areas\": [\n",
    "      { \"x\": 222, \"y\": 176, \"w\": 126, \"h\": 345, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"colgadaBlake\" },\n",
    "      { \"x\": 74, \"y\": 723, \"w\": 155, \"h\": 568, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"sacerdote\" },\n",
    "      { \"x\": 239, \"y\": 712, \"w\": 205, \"h\": 306, \"btn\": \"\", \"tooltip\": \"\",  \"scene\": \"agachado\" },\n",
    "      { \"x\": 333, \"y\": 652, \"w\": 212, \"h\": 448, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"cargandoNino\" },\n",
    "      { \"x\": 583, \"y\": 386, \"w\": 362, \"h\": 603, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"carguero\" },\n",
    "      { \"x\": 851, \"y\": 674, \"w\": 360, \"h\": 684, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"plantadorSurinam\" },\n",
    "      { \"x\": 1065, \"y\": 549, \"w\": 216, \"h\": 566, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"mujerSombrero\" },\n",
    "      { \"x\": 1238, \"y\": 633, \"w\": 448, \"h\": 708, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"familia\" },\n",
    "      { \"x\": 1484, \"y\": 328, \"w\": 233,  \"h\": 522, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"colgado\" },\n",
    "      { \"x\": 1498, \"y\": 697, \"w\": 201, \"h\": 609, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"mujerConPajaro\"}\n",
    "    ]\n",
    "  },\n",
    "  \"colgadaBlake\": { \"meta\": 186 },\n",
    "  \"sacerdote\": {\n",
    "    \"meta\": 181, \"areas\": [ { \"x\": 112, \"y\": 383, \"w\": 150, \"h\": 440, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinMayor\" } ]    \n",
    "  },\n",
    "  \"agachado\": {\n",
    "    \"meta\": 180,\n",
    "    \"areas\": [\n",
    "      { \"x\": 109, \"y\": 294, \"w\": 195, \"h\": 376, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinPlaza\" },\n",
    "      { \"x\": 245, \"y\": 382, \"w\": 136, \"h\": 229, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinPlaza\" }\n",
    "    ]\n",
    "  },\n",
    "  \"cargandoNino\": { \"meta\": 178 },\n",
    "  \"carguero\": {\n",
    "    \"meta\": 14, \"areas\": [ { \"x\": 549, \"y\": 876, \"w\": 276, \"h\": 426, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"cargueroRoulin\" } ]\n",
    "  },\n",
    "  \"cargueroRoulin\": { \"meta\": 11 }, \"plantadorSurinam\": { \"meta\": 187 },\n",
    "  \"mujerSombrero\": {\n",
    "    \"meta\": 179, \"areas\": [ { \"x\": 315, \"y\": 441, \"w\": 150, \"h\": 447, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinMayor\" } ]\n",
    "  },\n",
    "  \"roulinPrensa\": {\n",
    "    \"viz\": {\"filter\": [ [\"modelo\", \"=\", \"roulin\"], [\"soporte\", \"=\", \"prensa\"] ], \"type\": \"pack\", \"x\": \"modelo\", \"y\": \"soporte\"},\n",
    "    \"title\": \"The Carguero in the European illustrated press\",\n",
    "    \"text\": \"By removing the figure from the background, A. de Lattre used the Carguero to contrast the practice of the Quindío road with the estiveros of Putumayo. From this source, the image was put on an engraving plate, and was used in mass-printing projects in Europe by various illustrated press companies in countries such as France (Magasin Pittoresque, 1848), Spain (Semanario Pintoresco Español, 1849) and Germany (Das Pfennig-Magazin, 1851). These magazines were local versions of The Penny Magazine, first published in the United Kingdom in 1832 by the Society for the dissemination of useful knowledge. The model of this weekly magazine soon spread to various parts of Europe, disseminating not only the format of a publication, but technological applications of woodcutting and prototyping, a process of rationalization of print production, a business model and an ideal of the correlation between the expansion of the readership market and the possibility of bringing access to 'useful' knowledge to the working classes. Magasin Pittoresque, for example, was first published by Édouard Charton in 1833 and is associated with a faction of saintsimonism called 'republican saintsimonism'. Charton expressly referred to his publishing projects as means by which he intended to 'combat the ignorance of the popular classes' (Le Magasin Pittoresque, 1833, p. 98). Dissemination was made possible by the recent invention of metal plate engraving processes useful to obtain copies in 'hundreds of thousands' (Le Magasin Pittoresque, 1833, p. 98). In this context, images reached a wider public and offered a quicker and more fun way of learning from which children would benefit: 'instead of letting them sleep or yawn over a book, take them often to museums, or even to boulevards, georamas and panoramas' (Le Magasin Pittoresque, 1833, p. 99). Likewise, in the Semanario Pintoresco Español, images are mentioned for their function of 'representing absent things as if they were before us and which we could only see at the cost of arduous journeys and great expense’ (Semanario Pintoresco Español, 1844, p. 48).\",\n",
    "    \"options\": [ { \"btn\": \"Start over\", \"scene\": \"start\"} ]\n",
    "  },\n",
    "  \"familia\": { \"meta\": 183 }, \"mujerConPajaro\": { \"meta\": 184 }, \"colgado\": { \"meta\": 185 }\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "One additional, important aspect of this method for creating interactive panels is its potential expandability: besides the automated method of filtering for creating subsets and the definition of standard visualizations, the Aventura.js scene system works in a way that facilitates the creation of additional personalized panels (following the initial intuitive dispositions that gave origin to this project) and the addition of hyperlinks that connect to additional information. In our case, we added an automatized set of scenes that contain information about each element in the dataset and links to the original repositories in which they are hosted. This strategy expands the readings of the archive in the sense that it can work both inside the panel, offering a particular disposition and interpretation, and outside the panel, in a world of dispersed collections that have their own good neighbors and potentially new associations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "hermeneutics"
    ]
   },
   "source": [
    "Following all the steps explained before, we designed a JavaScript object that describes a set of scenes for our interactive panels. This scenes object is then processed by our custom functions to “hydrate” it, that is, to add the additional information that Aventura.js requires for the rendering of the panels: filtering the dataset, constructing the visualizations, creating individual scenes that display links and metadata of each element in the collection."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-02-23T13:47:22.241903Z",
     "iopub.status.busy": "2024-02-23T13:47:22.241580Z",
     "iopub.status.idle": "2024-02-23T13:47:22.260948Z",
     "shell.execute_reply": "2024-02-23T13:47:22.260213Z"
    },
    "tags": [
     "figure-observable-*"
    ]
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div style=\"text-align: right; position: relative\">\n",
       "    \n",
       "<style>\n",
       ".observable-logo {\n",
       "  position: absolute;\n",
       "  bottom: 0;\n",
       "  right: 0;\n",
       "  margin-bottom: 5px;\n",
       "  margin-right: 1px;\n",
       "  transition: background-color 0.2s;\n",
       "}\n",
       ".observable-logo svg {\n",
       "  opacity: 0.5;\n",
       "  transition: opacity 0.2s;\n",
       "}\n",
       ".observable-logo span {\n",
       "  opacity: 0;\n",
       "  transition: opacity 0.2s;\n",
       "  padding-right: .2em;\n",
       "  padding-left: .2em;\n",
       "}\n",
       ".observable-logo:hover {\n",
       "  background-color: white;\n",
       "}\n",
       ".observable-logo:hover span {\n",
       "  opacity: .8;\n",
       "}\n",
       ".observable-logo:hover svg {\n",
       "  opacity: .8;\n",
       "}\n",
       ".observable-link:hover ~ iframe {\n",
       "  outline: solid 1px #E0E0E0;\n",
       "  box-shadow: 0 0 3px;\n",
       "  transition: box-shadow 0.2s;\n",
       "}\n",
       ".observable-link ~ iframe {\n",
       "    outline: none;\n",
       "}\n",
       "/* Colab-only rule - untested */\n",
       "body > .output-area > .output-body {\n",
       "  margin-right: 2px;\n",
       "}\n",
       "</style>\n",
       "<a class=\"observable-link\" href=\"https://observablehq.com/@aventura-interactiva-ws/interactive_carguero_atlas\" target=\"_blank\" style=\"text-decoration: none; color: inherit;\">\n",
       "<div class=\"observable-logo\" style=\"display: flex; align-items: center; justify-content: flex-end;\">\n",
       "<span>Edit @aventura-interactiva-ws/interactive_carguero_atlas on Observable</span>\n",
       "<svg role=\"img\" viewBox=\"0 0 25 28\" width=\"25\" height=\"28\" aria-label=\"Observable\" fill=\"currentColor\" class=\"near-black\" style=\"width: 18px;\"><path d=\"M12.5 22.6667C11.3458 22.6667 10.3458 22.4153 9.5 21.9127C8.65721 21.412 7.98339 20.7027 7.55521 19.8654C7.09997 18.9942 6.76672 18.0729 6.56354 17.1239C6.34796 16.0947 6.24294 15.0483 6.25 14C6.25 13.1699 6.30417 12.3764 6.41354 11.6176C6.52188 10.8598 6.72292 10.0894 7.01563 9.30748C7.30833 8.52555 7.68542 7.84763 8.14479 7.27274C8.62304 6.68378 9.24141 6.20438 9.95208 5.87163C10.6979 5.51244 11.5458 5.33333 12.5 5.33333C13.6542 5.33333 14.6542 5.58467 15.5 6.08733C16.3428 6.588 17.0166 7.29733 17.4448 8.13459C17.8969 8.99644 18.2271 9.9103 18.4365 10.8761C18.6448 11.841 18.75 12.883 18.75 14C18.75 14.8301 18.6958 15.6236 18.5865 16.3824C18.4699 17.1702 18.2639 17.9446 17.9719 18.6925C17.6698 19.4744 17.2948 20.1524 16.8427 20.7273C16.3906 21.3021 15.7927 21.7692 15.0479 22.1284C14.3031 22.4876 13.4542 22.6667 12.5 22.6667ZM14.7063 16.2945C15.304 15.6944 15.6365 14.864 15.625 14C15.625 13.1073 15.326 12.3425 14.7292 11.7055C14.1313 11.0685 13.3885 10.75 12.5 10.75C11.6115 10.75 10.8688 11.0685 10.2708 11.7055C9.68532 12.3123 9.36198 13.1405 9.375 14C9.375 14.8927 9.67396 15.6575 10.2708 16.2945C10.8688 16.9315 11.6115 17.25 12.5 17.25C13.3885 17.25 14.124 16.9315 14.7063 16.2945ZM12.5 27C19.4031 27 25 21.1792 25 14C25 6.82075 19.4031 1 12.5 1C5.59687 1 0 6.82075 0 14C0 21.1792 5.59687 27 12.5 27Z\" fill=\"currentColor\"></path></svg>\n",
       "\n",
       "</div>\n",
       "</a>\n",
       "\n",
       "    <iframe id=\"observable-embed-div-7722071200219132\" sandbox=\"allow-scripts\" style=\"overflow: auto; min-width: 100%; width: 0px;\" frameBorder=\"0\"></iframe>\n",
       "</div>\n",
       "<script>\n",
       "var ObservableJupyterWrapper = (function (exports) {\n",
       "  'use strict';\n",
       "\n",
       "  function getFrameByEvent(event) {\n",
       "    return [...document.getElementsByTagName(\"iframe\")].filter(iframe => {\n",
       "      return iframe.contentWindow === event.source;\n",
       "    })[0];\n",
       "  }\n",
       "\n",
       "  // Each embed gets its own event listener.\n",
       "  function listenToSize(iframe) {\n",
       "    function onMessage(msg) {\n",
       "      if (!document.body.contains(iframe)) {\n",
       "        // iframe is gone\n",
       "        removeEventListener(\"message\", onMessage);\n",
       "      }\n",
       "      const senderIframe = getFrameByEvent(msg);\n",
       "      if (msg.data.type === \"iframeSize\" && senderIframe === iframe) {\n",
       "        iframe.height = msg.data.height;\n",
       "      }\n",
       "    }\n",
       "\n",
       "    window.addEventListener(\"message\", onMessage);\n",
       "  }\n",
       "\n",
       "  exports.listenToSize = listenToSize;\n",
       "\n",
       "  return exports;\n",
       "\n",
       "}({}));\n",
       "\n",
       "</script>\n",
       "<script>\n",
       "iframeSrc = `<!DOCTYPE html>\n",
       "<link rel=\"stylesheet\" href=\"https://cdn.jsdelivr.net/npm/@observablehq/inspector@3/dist/inspector.css\">\n",
       "<style>\n",
       "body {\n",
       "  margin: 0;\n",
       "}\n",
       "</style>\n",
       "OPENSCRIPT\n",
       "var ObservableJupyterIframe = (function (exports) {\n",
       "  'use strict';\n",
       "\n",
       "  function dispatch(node, type, detail) {\n",
       "    detail = detail || {};\n",
       "    var document = node.ownerDocument, event = document.defaultView.CustomEvent;\n",
       "    if (typeof event === \"function\") {\n",
       "      event = new event(type, {detail: detail});\n",
       "    } else {\n",
       "      event = document.createEvent(\"Event\");\n",
       "      event.initEvent(type, false, false);\n",
       "      event.detail = detail;\n",
       "    }\n",
       "    node.dispatchEvent(event);\n",
       "  }\n",
       "\n",
       "  // TODO https://twitter.com/mbostock/status/702737065121742848\n",
       "  function isarray(value) {\n",
       "    return Array.isArray(value)\n",
       "        || value instanceof Int8Array\n",
       "        || value instanceof Int16Array\n",
       "        || value instanceof Int32Array\n",
       "        || value instanceof Uint8Array\n",
       "        || value instanceof Uint8ClampedArray\n",
       "        || value instanceof Uint16Array\n",
       "        || value instanceof Uint32Array\n",
       "        || value instanceof Float32Array\n",
       "        || value instanceof Float64Array;\n",
       "  }\n",
       "\n",
       "  // Non-integer keys in arrays, e.g. [1, 2, 0.5: \"value\"].\n",
       "  function isindex(key) {\n",
       "    return key === (key | 0) + \"\";\n",
       "  }\n",
       "\n",
       "  function inspectName(name) {\n",
       "    const n = document.createElement(\"span\");\n",
       "    n.className = \"observablehq--cellname\";\n",
       "    n.textContent = \\`\\${name} = \\`;\n",
       "    return n;\n",
       "  }\n",
       "\n",
       "  const symbolToString = Symbol.prototype.toString;\n",
       "\n",
       "  // Symbols do not coerce to strings; they must be explicitly converted.\n",
       "  function formatSymbol(symbol) {\n",
       "    return symbolToString.call(symbol);\n",
       "  }\n",
       "\n",
       "  const {getOwnPropertySymbols, prototype: {hasOwnProperty}} = Object;\n",
       "  const {toStringTag} = Symbol;\n",
       "\n",
       "  const FORBIDDEN = {};\n",
       "\n",
       "  const symbolsof = getOwnPropertySymbols;\n",
       "\n",
       "  function isown(object, key) {\n",
       "    return hasOwnProperty.call(object, key);\n",
       "  }\n",
       "\n",
       "  function tagof(object) {\n",
       "    return object[toStringTag]\n",
       "        || (object.constructor && object.constructor.name)\n",
       "        || \"Object\";\n",
       "  }\n",
       "\n",
       "  function valueof(object, key) {\n",
       "    try {\n",
       "      const value = object[key];\n",
       "      if (value) value.constructor; // Test for SecurityError.\n",
       "      return value;\n",
       "    } catch (ignore) {\n",
       "      return FORBIDDEN;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  const SYMBOLS = [\n",
       "    { symbol: \"@@__IMMUTABLE_INDEXED__@@\", name: \"Indexed\", modifier: true },\n",
       "    { symbol: \"@@__IMMUTABLE_KEYED__@@\", name: \"Keyed\", modifier: true },\n",
       "    { symbol: \"@@__IMMUTABLE_LIST__@@\", name: \"List\", arrayish: true },\n",
       "    { symbol: \"@@__IMMUTABLE_MAP__@@\", name: \"Map\" },\n",
       "    {\n",
       "      symbol: \"@@__IMMUTABLE_ORDERED__@@\",\n",
       "      name: \"Ordered\",\n",
       "      modifier: true,\n",
       "      prefix: true\n",
       "    },\n",
       "    { symbol: \"@@__IMMUTABLE_RECORD__@@\", name: \"Record\" },\n",
       "    {\n",
       "      symbol: \"@@__IMMUTABLE_SET__@@\",\n",
       "      name: \"Set\",\n",
       "      arrayish: true,\n",
       "      setish: true\n",
       "    },\n",
       "    { symbol: \"@@__IMMUTABLE_STACK__@@\", name: \"Stack\", arrayish: true }\n",
       "  ];\n",
       "\n",
       "  function immutableName(obj) {\n",
       "    try {\n",
       "      let symbols = SYMBOLS.filter(({ symbol }) => obj[symbol] === true);\n",
       "      if (!symbols.length) return;\n",
       "\n",
       "      const name = symbols.find(s => !s.modifier);\n",
       "      const prefix =\n",
       "        name.name === \"Map\" && symbols.find(s => s.modifier && s.prefix);\n",
       "\n",
       "      const arrayish = symbols.some(s => s.arrayish);\n",
       "      const setish = symbols.some(s => s.setish);\n",
       "\n",
       "      return {\n",
       "        name: \\`\\${prefix ? prefix.name : \"\"}\\${name.name}\\`,\n",
       "        symbols,\n",
       "        arrayish: arrayish && !setish,\n",
       "        setish\n",
       "      };\n",
       "    } catch (e) {\n",
       "      return null;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  const {getPrototypeOf, getOwnPropertyDescriptors} = Object;\n",
       "  const objectPrototype = getPrototypeOf({});\n",
       "\n",
       "  function inspectExpanded(object, _, name, proto) {\n",
       "    let arrayish = isarray(object);\n",
       "    let tag, fields, next, n;\n",
       "\n",
       "    if (object instanceof Map) {\n",
       "      if (object instanceof object.constructor) {\n",
       "        tag = \\`Map(\\${object.size})\\`;\n",
       "        fields = iterateMap;\n",
       "      } else { // avoid incompatible receiver error for prototype\n",
       "        tag = \"Map()\";\n",
       "        fields = iterateObject;\n",
       "      }\n",
       "    } else if (object instanceof Set) {\n",
       "      if (object instanceof object.constructor) {\n",
       "        tag = \\`Set(\\${object.size})\\`;\n",
       "        fields = iterateSet;\n",
       "      } else { // avoid incompatible receiver error for prototype\n",
       "        tag = \"Set()\";\n",
       "        fields = iterateObject;\n",
       "      }\n",
       "    } else if (arrayish) {\n",
       "      tag = \\`\\${object.constructor.name}(\\${object.length})\\`;\n",
       "      fields = iterateArray;\n",
       "    } else if ((n = immutableName(object))) {\n",
       "      tag = \\`Immutable.\\${n.name}\\${n.name === \"Record\" ? \"\" : \\`(\\${object.size})\\`}\\`;\n",
       "      arrayish = n.arrayish;\n",
       "      fields = n.arrayish\n",
       "        ? iterateImArray\n",
       "        : n.setish\n",
       "        ? iterateImSet\n",
       "        : iterateImObject;\n",
       "    } else if (proto) {\n",
       "      tag = tagof(object);\n",
       "      fields = iterateProto;\n",
       "    } else {\n",
       "      tag = tagof(object);\n",
       "      fields = iterateObject;\n",
       "    }\n",
       "\n",
       "    const span = document.createElement(\"span\");\n",
       "    span.className = \"observablehq--expanded\";\n",
       "    if (name) {\n",
       "      span.appendChild(inspectName(name));\n",
       "    }\n",
       "    const a = span.appendChild(document.createElement(\"a\"));\n",
       "    a.innerHTML = \\`<svg width=8 height=8 class='observablehq--caret'>\n",
       "    <path d='M4 7L0 1h8z' fill='currentColor' />\n",
       "  </svg>\\`;\n",
       "    a.appendChild(document.createTextNode(\\`\\${tag}\\${arrayish ? \" [\" : \" {\"}\\`));\n",
       "    a.addEventListener(\"mouseup\", function(event) {\n",
       "      event.stopPropagation();\n",
       "      replace(span, inspectCollapsed(object, null, name, proto));\n",
       "    });\n",
       "\n",
       "    fields = fields(object);\n",
       "    for (let i = 0; !(next = fields.next()).done && i < 20; ++i) {\n",
       "      span.appendChild(next.value);\n",
       "    }\n",
       "\n",
       "    if (!next.done) {\n",
       "      const a = span.appendChild(document.createElement(\"a\"));\n",
       "      a.className = \"observablehq--field\";\n",
       "      a.style.display = \"block\";\n",
       "      a.appendChild(document.createTextNode(\\`  … more\\`));\n",
       "      a.addEventListener(\"mouseup\", function(event) {\n",
       "        event.stopPropagation();\n",
       "        span.insertBefore(next.value, span.lastChild.previousSibling);\n",
       "        for (let i = 0; !(next = fields.next()).done && i < 19; ++i) {\n",
       "          span.insertBefore(next.value, span.lastChild.previousSibling);\n",
       "        }\n",
       "        if (next.done) span.removeChild(span.lastChild.previousSibling);\n",
       "        dispatch(span, \"load\");\n",
       "      });\n",
       "    }\n",
       "\n",
       "    span.appendChild(document.createTextNode(arrayish ? \"]\" : \"}\"));\n",
       "\n",
       "    return span;\n",
       "  }\n",
       "\n",
       "  function* iterateMap(map) {\n",
       "    for (const [key, value] of map) {\n",
       "      yield formatMapField(key, value);\n",
       "    }\n",
       "    yield* iterateObject(map);\n",
       "  }\n",
       "\n",
       "  function* iterateSet(set) {\n",
       "    for (const value of set) {\n",
       "      yield formatSetField(value);\n",
       "    }\n",
       "    yield* iterateObject(set);\n",
       "  }\n",
       "\n",
       "  function* iterateImSet(set) {\n",
       "    for (const value of set) {\n",
       "      yield formatSetField(value);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function* iterateArray(array) {\n",
       "    for (let i = 0, n = array.length; i < n; ++i) {\n",
       "      if (i in array) {\n",
       "        yield formatField(i, valueof(array, i), \"observablehq--index\");\n",
       "      }\n",
       "    }\n",
       "    for (const key in array) {\n",
       "      if (!isindex(key) && isown(array, key)) {\n",
       "        yield formatField(key, valueof(array, key), \"observablehq--key\");\n",
       "      }\n",
       "    }\n",
       "    for (const symbol of symbolsof(array)) {\n",
       "      yield formatField(\n",
       "        formatSymbol(symbol),\n",
       "        valueof(array, symbol),\n",
       "        \"observablehq--symbol\"\n",
       "      );\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function* iterateImArray(array) {\n",
       "    let i1 = 0;\n",
       "    for (const n = array.size; i1 < n; ++i1) {\n",
       "      yield formatField(i1, array.get(i1), true);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function* iterateProto(object) {\n",
       "    for (const key in getOwnPropertyDescriptors(object)) {\n",
       "      yield formatField(key, valueof(object, key), \"observablehq--key\");\n",
       "    }\n",
       "    for (const symbol of symbolsof(object)) {\n",
       "      yield formatField(\n",
       "        formatSymbol(symbol),\n",
       "        valueof(object, symbol),\n",
       "        \"observablehq--symbol\"\n",
       "      );\n",
       "    }\n",
       "\n",
       "    const proto = getPrototypeOf(object);\n",
       "    if (proto && proto !== objectPrototype) {\n",
       "      yield formatPrototype(proto);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function* iterateObject(object) {\n",
       "    for (const key in object) {\n",
       "      if (isown(object, key)) {\n",
       "        yield formatField(key, valueof(object, key), \"observablehq--key\");\n",
       "      }\n",
       "    }\n",
       "    for (const symbol of symbolsof(object)) {\n",
       "      yield formatField(\n",
       "        formatSymbol(symbol),\n",
       "        valueof(object, symbol),\n",
       "        \"observablehq--symbol\"\n",
       "      );\n",
       "    }\n",
       "\n",
       "    const proto = getPrototypeOf(object);\n",
       "    if (proto && proto !== objectPrototype) {\n",
       "      yield formatPrototype(proto);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function* iterateImObject(object) {\n",
       "    for (const [key, value] of object) {\n",
       "      yield formatField(key, value, \"observablehq--key\");\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function formatPrototype(value) {\n",
       "    const item = document.createElement(\"div\");\n",
       "    const span = item.appendChild(document.createElement(\"span\"));\n",
       "    item.className = \"observablehq--field\";\n",
       "    span.className = \"observablehq--prototype-key\";\n",
       "    span.textContent = \\`  <prototype>\\`;\n",
       "    item.appendChild(document.createTextNode(\": \"));\n",
       "    item.appendChild(inspect(value, undefined, undefined, undefined, true));\n",
       "    return item;\n",
       "  }\n",
       "\n",
       "  function formatField(key, value, className) {\n",
       "    const item = document.createElement(\"div\");\n",
       "    const span = item.appendChild(document.createElement(\"span\"));\n",
       "    item.className = \"observablehq--field\";\n",
       "    span.className = className;\n",
       "    span.textContent = \\`  \\${key}\\`;\n",
       "    item.appendChild(document.createTextNode(\": \"));\n",
       "    item.appendChild(inspect(value));\n",
       "    return item;\n",
       "  }\n",
       "\n",
       "  function formatMapField(key, value) {\n",
       "    const item = document.createElement(\"div\");\n",
       "    item.className = \"observablehq--field\";\n",
       "    item.appendChild(document.createTextNode(\"  \"));\n",
       "    item.appendChild(inspect(key));\n",
       "    item.appendChild(document.createTextNode(\" => \"));\n",
       "    item.appendChild(inspect(value));\n",
       "    return item;\n",
       "  }\n",
       "\n",
       "  function formatSetField(value) {\n",
       "    const item = document.createElement(\"div\");\n",
       "    item.className = \"observablehq--field\";\n",
       "    item.appendChild(document.createTextNode(\"  \"));\n",
       "    item.appendChild(inspect(value));\n",
       "    return item;\n",
       "  }\n",
       "\n",
       "  function hasSelection(elem) {\n",
       "    const sel = window.getSelection();\n",
       "    return (\n",
       "      sel.type === \"Range\" &&\n",
       "      (sel.containsNode(elem, true) ||\n",
       "        sel.anchorNode.isSelfOrDescendant(elem) ||\n",
       "        sel.focusNode.isSelfOrDescendant(elem))\n",
       "    );\n",
       "  }\n",
       "\n",
       "  function inspectCollapsed(object, shallow, name, proto) {\n",
       "    let arrayish = isarray(object);\n",
       "    let tag, fields, next, n;\n",
       "\n",
       "    if (object instanceof Map) {\n",
       "      if (object instanceof object.constructor) {\n",
       "        tag = \\`Map(\\${object.size})\\`;\n",
       "        fields = iterateMap\\$1;\n",
       "      } else { // avoid incompatible receiver error for prototype\n",
       "        tag = \"Map()\";\n",
       "        fields = iterateObject\\$1;\n",
       "      }\n",
       "    } else if (object instanceof Set) {\n",
       "      if (object instanceof object.constructor) {\n",
       "        tag = \\`Set(\\${object.size})\\`;\n",
       "        fields = iterateSet\\$1;\n",
       "      } else { // avoid incompatible receiver error for prototype\n",
       "        tag = \"Set()\";\n",
       "        fields = iterateObject\\$1;\n",
       "      }\n",
       "    } else if (arrayish) {\n",
       "      tag = \\`\\${object.constructor.name}(\\${object.length})\\`;\n",
       "      fields = iterateArray\\$1;\n",
       "    } else if ((n = immutableName(object))) {\n",
       "      tag = \\`Immutable.\\${n.name}\\${n.name === 'Record' ? '' : \\`(\\${object.size})\\`}\\`;\n",
       "      arrayish = n.arrayish;\n",
       "      fields = n.arrayish ? iterateImArray\\$1 : n.setish ? iterateImSet\\$1 : iterateImObject\\$1;\n",
       "    } else {\n",
       "      tag = tagof(object);\n",
       "      fields = iterateObject\\$1;\n",
       "    }\n",
       "\n",
       "    if (shallow) {\n",
       "      const span = document.createElement(\"span\");\n",
       "      span.className = \"observablehq--shallow\";\n",
       "      if (name) {\n",
       "        span.appendChild(inspectName(name));\n",
       "      }\n",
       "      span.appendChild(document.createTextNode(tag));\n",
       "      span.addEventListener(\"mouseup\", function(event) {\n",
       "        if (hasSelection(span)) return;\n",
       "        event.stopPropagation();\n",
       "        replace(span, inspectCollapsed(object));\n",
       "      });\n",
       "      return span;\n",
       "    }\n",
       "\n",
       "    const span = document.createElement(\"span\");\n",
       "    span.className = \"observablehq--collapsed\";\n",
       "    if (name) {\n",
       "      span.appendChild(inspectName(name));\n",
       "    }\n",
       "    const a = span.appendChild(document.createElement(\"a\"));\n",
       "    a.innerHTML = \\`<svg width=8 height=8 class='observablehq--caret'>\n",
       "    <path d='M7 4L1 8V0z' fill='currentColor' />\n",
       "  </svg>\\`;\n",
       "    a.appendChild(document.createTextNode(\\`\\${tag}\\${arrayish ? \" [\" : \" {\"}\\`));\n",
       "    span.addEventListener(\"mouseup\", function(event) {\n",
       "      if (hasSelection(span)) return;\n",
       "      event.stopPropagation();\n",
       "      replace(span, inspectExpanded(object, null, name, proto));\n",
       "    }, true);\n",
       "\n",
       "    fields = fields(object);\n",
       "    for (let i = 0; !(next = fields.next()).done && i < 20; ++i) {\n",
       "      if (i > 0) span.appendChild(document.createTextNode(\", \"));\n",
       "      span.appendChild(next.value);\n",
       "    }\n",
       "\n",
       "    if (!next.done) span.appendChild(document.createTextNode(\", …\"));\n",
       "    span.appendChild(document.createTextNode(arrayish ? \"]\" : \"}\"));\n",
       "\n",
       "    return span;\n",
       "  }\n",
       "\n",
       "  function* iterateMap\\$1(map) {\n",
       "    for (const [key, value] of map) {\n",
       "      yield formatMapField\\$1(key, value);\n",
       "    }\n",
       "    yield* iterateObject\\$1(map);\n",
       "  }\n",
       "\n",
       "  function* iterateSet\\$1(set) {\n",
       "    for (const value of set) {\n",
       "      yield inspect(value, true);\n",
       "    }\n",
       "    yield* iterateObject\\$1(set);\n",
       "  }\n",
       "\n",
       "  function* iterateImSet\\$1(set) {\n",
       "    for (const value of set) {\n",
       "      yield inspect(value, true);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function* iterateImArray\\$1(array) {\n",
       "    let i0 = -1, i1 = 0;\n",
       "    for (const n = array.size; i1 < n; ++i1) {\n",
       "      if (i1 > i0 + 1) yield formatEmpty(i1 - i0 - 1);\n",
       "      yield inspect(array.get(i1), true);\n",
       "      i0 = i1;\n",
       "    }\n",
       "    if (i1 > i0 + 1) yield formatEmpty(i1 - i0 - 1);\n",
       "  }\n",
       "\n",
       "  function* iterateArray\\$1(array) {\n",
       "    let i0 = -1, i1 = 0;\n",
       "    for (const n = array.length; i1 < n; ++i1) {\n",
       "      if (i1 in array) {\n",
       "        if (i1 > i0 + 1) yield formatEmpty(i1 - i0 - 1);\n",
       "        yield inspect(valueof(array, i1), true);\n",
       "        i0 = i1;\n",
       "      }\n",
       "    }\n",
       "    if (i1 > i0 + 1) yield formatEmpty(i1 - i0 - 1);\n",
       "    for (const key in array) {\n",
       "      if (!isindex(key) && isown(array, key)) {\n",
       "        yield formatField\\$1(key, valueof(array, key), \"observablehq--key\");\n",
       "      }\n",
       "    }\n",
       "    for (const symbol of symbolsof(array)) {\n",
       "      yield formatField\\$1(formatSymbol(symbol), valueof(array, symbol), \"observablehq--symbol\");\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function* iterateObject\\$1(object) {\n",
       "    for (const key in object) {\n",
       "      if (isown(object, key)) {\n",
       "        yield formatField\\$1(key, valueof(object, key), \"observablehq--key\");\n",
       "      }\n",
       "    }\n",
       "    for (const symbol of symbolsof(object)) {\n",
       "      yield formatField\\$1(formatSymbol(symbol), valueof(object, symbol), \"observablehq--symbol\");\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function* iterateImObject\\$1(object) {\n",
       "    for (const [key, value] of object) {\n",
       "      yield formatField\\$1(key, value, \"observablehq--key\");\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function formatEmpty(e) {\n",
       "    const span = document.createElement(\"span\");\n",
       "    span.className = \"observablehq--empty\";\n",
       "    span.textContent = e === 1 ? \"empty\" : \\`empty × \\${e}\\`;\n",
       "    return span;\n",
       "  }\n",
       "\n",
       "  function formatField\\$1(key, value, className) {\n",
       "    const fragment = document.createDocumentFragment();\n",
       "    const span = fragment.appendChild(document.createElement(\"span\"));\n",
       "    span.className = className;\n",
       "    span.textContent = key;\n",
       "    fragment.appendChild(document.createTextNode(\": \"));\n",
       "    fragment.appendChild(inspect(value, true));\n",
       "    return fragment;\n",
       "  }\n",
       "\n",
       "  function formatMapField\\$1(key, value) {\n",
       "    const fragment = document.createDocumentFragment();\n",
       "    fragment.appendChild(inspect(key, true));\n",
       "    fragment.appendChild(document.createTextNode(\" => \"));\n",
       "    fragment.appendChild(inspect(value, true));\n",
       "    return fragment;\n",
       "  }\n",
       "\n",
       "  function format(date, fallback) {\n",
       "    if (!(date instanceof Date)) date = new Date(+date);\n",
       "    if (isNaN(date)) return typeof fallback === \"function\" ? fallback(date) : fallback;\n",
       "    const hours = date.getUTCHours();\n",
       "    const minutes = date.getUTCMinutes();\n",
       "    const seconds = date.getUTCSeconds();\n",
       "    const milliseconds = date.getUTCMilliseconds();\n",
       "    return \\`\\${formatYear(date.getUTCFullYear())}-\\${pad(date.getUTCMonth() + 1, 2)}-\\${pad(date.getUTCDate(), 2)}\\${\n",
       "    hours || minutes || seconds || milliseconds ? \\`T\\${pad(hours, 2)}:\\${pad(minutes, 2)}\\${\n",
       "      seconds || milliseconds ? \\`:\\${pad(seconds, 2)}\\${\n",
       "        milliseconds ? \\`.\\${pad(milliseconds, 3)}\\` : \\`\\`\n",
       "      }\\` : \\`\\`\n",
       "    }Z\\` : \\`\\`\n",
       "  }\\`;\n",
       "  }\n",
       "\n",
       "  function formatYear(year) {\n",
       "    return year < 0 ? \\`-\\${pad(-year, 6)}\\`\n",
       "      : year > 9999 ? \\`+\\${pad(year, 6)}\\`\n",
       "      : pad(year, 4);\n",
       "  }\n",
       "\n",
       "  function pad(value, width) {\n",
       "    return \\`\\${value}\\`.padStart(width, \"0\");\n",
       "  }\n",
       "\n",
       "  function formatDate(date) {\n",
       "    return format(date, \"Invalid Date\");\n",
       "  }\n",
       "\n",
       "  var errorToString = Error.prototype.toString;\n",
       "\n",
       "  function formatError(value) {\n",
       "    return value.stack || errorToString.call(value);\n",
       "  }\n",
       "\n",
       "  var regExpToString = RegExp.prototype.toString;\n",
       "\n",
       "  function formatRegExp(value) {\n",
       "    return regExpToString.call(value);\n",
       "  }\n",
       "\n",
       "  /* eslint-disable no-control-regex */\n",
       "  const NEWLINE_LIMIT = 20;\n",
       "\n",
       "  function formatString(string, shallow, expanded, name) {\n",
       "    if (shallow === false) {\n",
       "      // String has fewer escapes displayed with double quotes\n",
       "      if (count(string, /[\"\\\\n]/g) <= count(string, /\\`|\\\\\\${/g)) {\n",
       "        const span = document.createElement(\"span\");\n",
       "        if (name) span.appendChild(inspectName(name));\n",
       "        const textValue = span.appendChild(document.createElement(\"span\"));\n",
       "        textValue.className = \"observablehq--string\";\n",
       "        textValue.textContent = JSON.stringify(string);\n",
       "        return span;\n",
       "      }\n",
       "      const lines = string.split(\"\\\\n\");\n",
       "      if (lines.length > NEWLINE_LIMIT && !expanded) {\n",
       "        const div = document.createElement(\"div\");\n",
       "        if (name) div.appendChild(inspectName(name));\n",
       "        const textValue = div.appendChild(document.createElement(\"span\"));\n",
       "        textValue.className = \"observablehq--string\";\n",
       "        textValue.textContent = \"\\`\" + templatify(lines.slice(0, NEWLINE_LIMIT).join(\"\\\\n\"));\n",
       "        const splitter = div.appendChild(document.createElement(\"span\"));\n",
       "        const truncatedCount = lines.length - NEWLINE_LIMIT;\n",
       "        splitter.textContent = \\`Show \\${truncatedCount} truncated line\\${truncatedCount > 1 ? \"s\": \"\"}\\`; splitter.className = \"observablehq--string-expand\";\n",
       "        splitter.addEventListener(\"mouseup\", function (event) {\n",
       "          event.stopPropagation();\n",
       "          replace(div, inspect(string, shallow, true, name));\n",
       "        });\n",
       "        return div;\n",
       "      }\n",
       "      const span = document.createElement(\"span\");\n",
       "      if (name) span.appendChild(inspectName(name));\n",
       "      const textValue = span.appendChild(document.createElement(\"span\"));\n",
       "      textValue.className = \\`observablehq--string\\${expanded ? \" observablehq--expanded\" : \"\"}\\`;\n",
       "      textValue.textContent = \"\\`\" + templatify(string) + \"\\`\";\n",
       "      return span;\n",
       "    }\n",
       "\n",
       "    const span = document.createElement(\"span\");\n",
       "    if (name) span.appendChild(inspectName(name));\n",
       "    const textValue = span.appendChild(document.createElement(\"span\"));\n",
       "    textValue.className = \"observablehq--string\";\n",
       "    textValue.textContent = JSON.stringify(string.length > 100 ?\n",
       "      \\`\\${string.slice(0, 50)}…\\${string.slice(-49)}\\` : string);\n",
       "    return span;\n",
       "  }\n",
       "\n",
       "  function templatify(string) {\n",
       "    return string.replace(/[\\\\\\\\\\`\\\\x00-\\\\x09\\\\x0b-\\\\x19]|\\\\\\${/g, templatifyChar);\n",
       "  }\n",
       "\n",
       "  function templatifyChar(char) {\n",
       "    var code = char.charCodeAt(0);\n",
       "    switch (code) {\n",
       "      case 0x8: return \"\\\\\\\\b\";\n",
       "      case 0x9: return \"\\\\\\\\t\";\n",
       "      case 0xb: return \"\\\\\\\\v\";\n",
       "      case 0xc: return \"\\\\\\\\f\";\n",
       "      case 0xd: return \"\\\\\\\\r\";\n",
       "    }\n",
       "    return code < 0x10 ? \"\\\\\\\\x0\" + code.toString(16)\n",
       "        : code < 0x20 ? \"\\\\\\\\x\" + code.toString(16)\n",
       "        : \"\\\\\\\\\" + char;\n",
       "  }\n",
       "\n",
       "  function count(string, re) {\n",
       "    var n = 0;\n",
       "    while (re.exec(string)) ++n;\n",
       "    return n;\n",
       "  }\n",
       "\n",
       "  var toString = Function.prototype.toString,\n",
       "      TYPE_ASYNC = {prefix: \"async ƒ\"},\n",
       "      TYPE_ASYNC_GENERATOR = {prefix: \"async ƒ*\"},\n",
       "      TYPE_CLASS = {prefix: \"class\"},\n",
       "      TYPE_FUNCTION = {prefix: \"ƒ\"},\n",
       "      TYPE_GENERATOR = {prefix: \"ƒ*\"};\n",
       "\n",
       "  function inspectFunction(f, name) {\n",
       "    var type, m, t = toString.call(f);\n",
       "\n",
       "    switch (f.constructor && f.constructor.name) {\n",
       "      case \"AsyncFunction\": type = TYPE_ASYNC; break;\n",
       "      case \"AsyncGeneratorFunction\": type = TYPE_ASYNC_GENERATOR; break;\n",
       "      case \"GeneratorFunction\": type = TYPE_GENERATOR; break;\n",
       "      default: type = /^class\\\\b/.test(t) ? TYPE_CLASS : TYPE_FUNCTION; break;\n",
       "    }\n",
       "\n",
       "    // A class, possibly named.\n",
       "    // class Name\n",
       "    if (type === TYPE_CLASS) {\n",
       "      return formatFunction(type, \"\", name);\n",
       "    }\n",
       "\n",
       "    // An arrow function with a single argument.\n",
       "    // foo =>\n",
       "    // async foo =>\n",
       "    if ((m = /^(?:async\\\\s*)?(\\\\w+)\\\\s*=>/.exec(t))) {\n",
       "      return formatFunction(type, \"(\" + m[1] + \")\", name);\n",
       "    }\n",
       "\n",
       "    // An arrow function with parenthesized arguments.\n",
       "    // (…)\n",
       "    // async (…)\n",
       "    if ((m = /^(?:async\\\\s*)?\\\\(\\\\s*(\\\\w+(?:\\\\s*,\\\\s*\\\\w+)*)?\\\\s*\\\\)/.exec(t))) {\n",
       "      return formatFunction(type, m[1] ? \"(\" + m[1].replace(/\\\\s*,\\\\s*/g, \", \") + \")\" : \"()\", name);\n",
       "    }\n",
       "\n",
       "    // A function, possibly: async, generator, anonymous, simply arguments.\n",
       "    // function name(…)\n",
       "    // function* name(…)\n",
       "    // async function name(…)\n",
       "    // async function* name(…)\n",
       "    if ((m = /^(?:async\\\\s*)?function(?:\\\\s*\\\\*)?(?:\\\\s*\\\\w+)?\\\\s*\\\\(\\\\s*(\\\\w+(?:\\\\s*,\\\\s*\\\\w+)*)?\\\\s*\\\\)/.exec(t))) {\n",
       "      return formatFunction(type, m[1] ? \"(\" + m[1].replace(/\\\\s*,\\\\s*/g, \", \") + \")\" : \"()\", name);\n",
       "    }\n",
       "\n",
       "    // Something else, like destructuring, comments or default values.\n",
       "    return formatFunction(type, \"(…)\", name);\n",
       "  }\n",
       "\n",
       "  function formatFunction(type, args, cellname) {\n",
       "    var span = document.createElement(\"span\");\n",
       "    span.className = \"observablehq--function\";\n",
       "    if (cellname) {\n",
       "      span.appendChild(inspectName(cellname));\n",
       "    }\n",
       "    var spanType = span.appendChild(document.createElement(\"span\"));\n",
       "    spanType.className = \"observablehq--keyword\";\n",
       "    spanType.textContent = type.prefix;\n",
       "    span.appendChild(document.createTextNode(args));\n",
       "    return span;\n",
       "  }\n",
       "\n",
       "  const {prototype: {toString: toString\\$1}} = Object;\n",
       "\n",
       "  function inspect(value, shallow, expand, name, proto) {\n",
       "    let type = typeof value;\n",
       "    switch (type) {\n",
       "      case \"boolean\":\n",
       "      case \"undefined\": { value += \"\"; break; }\n",
       "      case \"number\": { value = value === 0 && 1 / value < 0 ? \"-0\" : value + \"\"; break; }\n",
       "      case \"bigint\": { value = value + \"n\"; break; }\n",
       "      case \"symbol\": { value = formatSymbol(value); break; }\n",
       "      case \"function\": { return inspectFunction(value, name); }\n",
       "      case \"string\": { return formatString(value, shallow, expand, name); }\n",
       "      default: {\n",
       "        if (value === null) { type = null, value = \"null\"; break; }\n",
       "        if (value instanceof Date) { type = \"date\", value = formatDate(value); break; }\n",
       "        if (value === FORBIDDEN) { type = \"forbidden\", value = \"[forbidden]\"; break; }\n",
       "        switch (toString\\$1.call(value)) {\n",
       "          case \"[object RegExp]\": { type = \"regexp\", value = formatRegExp(value); break; }\n",
       "          case \"[object Error]\": // https://github.com/lodash/lodash/blob/master/isError.js#L26\n",
       "          case \"[object DOMException]\": { type = \"error\", value = formatError(value); break; }\n",
       "          default: return (expand ? inspectExpanded : inspectCollapsed)(value, shallow, name, proto);\n",
       "        }\n",
       "        break;\n",
       "      }\n",
       "    }\n",
       "    const span = document.createElement(\"span\");\n",
       "    if (name) span.appendChild(inspectName(name));\n",
       "    const n = span.appendChild(document.createElement(\"span\"));\n",
       "    n.className = \\`observablehq--\\${type}\\`;\n",
       "    n.textContent = value;\n",
       "    return span;\n",
       "  }\n",
       "\n",
       "  function replace(spanOld, spanNew) {\n",
       "    if (spanOld.classList.contains(\"observablehq--inspect\")) spanNew.classList.add(\"observablehq--inspect\");\n",
       "    spanOld.parentNode.replaceChild(spanNew, spanOld);\n",
       "    dispatch(spanNew, \"load\");\n",
       "  }\n",
       "\n",
       "  const LOCATION_MATCH = /\\\\s+\\\\(\\\\d+:\\\\d+\\\\)\\$/m;\n",
       "\n",
       "  class Inspector {\n",
       "    constructor(node) {\n",
       "      if (!node) throw new Error(\"invalid node\");\n",
       "      this._node = node;\n",
       "      node.classList.add(\"observablehq\");\n",
       "    }\n",
       "    pending() {\n",
       "      const {_node} = this;\n",
       "      _node.classList.remove(\"observablehq--error\");\n",
       "      _node.classList.add(\"observablehq--running\");\n",
       "    }\n",
       "    fulfilled(value, name) {\n",
       "      const {_node} = this;\n",
       "      if (!isnode(value) || (value.parentNode && value.parentNode !== _node)) {\n",
       "        value = inspect(value, false, _node.firstChild // TODO Do this better.\n",
       "            && _node.firstChild.classList\n",
       "            && _node.firstChild.classList.contains(\"observablehq--expanded\"), name);\n",
       "        value.classList.add(\"observablehq--inspect\");\n",
       "      }\n",
       "      _node.classList.remove(\"observablehq--running\", \"observablehq--error\");\n",
       "      if (_node.firstChild !== value) {\n",
       "        if (_node.firstChild) {\n",
       "          while (_node.lastChild !== _node.firstChild) _node.removeChild(_node.lastChild);\n",
       "          _node.replaceChild(value, _node.firstChild);\n",
       "        } else {\n",
       "          _node.appendChild(value);\n",
       "        }\n",
       "      }\n",
       "      dispatch(_node, \"update\");\n",
       "    }\n",
       "    rejected(error, name) {\n",
       "      const {_node} = this;\n",
       "      _node.classList.remove(\"observablehq--running\");\n",
       "      _node.classList.add(\"observablehq--error\");\n",
       "      while (_node.lastChild) _node.removeChild(_node.lastChild);\n",
       "      var div = document.createElement(\"div\");\n",
       "      div.className = \"observablehq--inspect\";\n",
       "      if (name) div.appendChild(inspectName(name));\n",
       "      div.appendChild(document.createTextNode((error + \"\").replace(LOCATION_MATCH, \"\")));\n",
       "      _node.appendChild(div);\n",
       "      dispatch(_node, \"error\", {error: error});\n",
       "    }\n",
       "  }\n",
       "\n",
       "  Inspector.into = function(container) {\n",
       "    if (typeof container === \"string\") {\n",
       "      container = document.querySelector(container);\n",
       "      if (container == null) throw new Error(\"container not found\");\n",
       "    }\n",
       "    return function() {\n",
       "      return new Inspector(container.appendChild(document.createElement(\"div\")));\n",
       "    };\n",
       "  };\n",
       "\n",
       "  // Returns true if the given value is something that should be added to the DOM\n",
       "  // by the inspector, rather than being inspected. This deliberately excludes\n",
       "  // DocumentFragment since appending a fragment “dissolves” (mutates) the\n",
       "  // fragment, and we wish for the inspector to not have side-effects. Also,\n",
       "  // HTMLElement.prototype is an instanceof Element, but not an element!\n",
       "  function isnode(value) {\n",
       "    return (value instanceof Element || value instanceof Text)\n",
       "        && (value instanceof value.constructor);\n",
       "  }\n",
       "\n",
       "  var EOL = {},\n",
       "      EOF = {},\n",
       "      QUOTE = 34,\n",
       "      NEWLINE = 10,\n",
       "      RETURN = 13;\n",
       "\n",
       "  function objectConverter(columns) {\n",
       "    return new Function(\"d\", \"return {\" + columns.map(function(name, i) {\n",
       "      return JSON.stringify(name) + \": d[\" + i + \"] || \\\\\"\\\\\"\";\n",
       "    }).join(\",\") + \"}\");\n",
       "  }\n",
       "\n",
       "  function customConverter(columns, f) {\n",
       "    var object = objectConverter(columns);\n",
       "    return function(row, i) {\n",
       "      return f(object(row), i, columns);\n",
       "    };\n",
       "  }\n",
       "\n",
       "  // Compute unique columns in order of discovery.\n",
       "  function inferColumns(rows) {\n",
       "    var columnSet = Object.create(null),\n",
       "        columns = [];\n",
       "\n",
       "    rows.forEach(function(row) {\n",
       "      for (var column in row) {\n",
       "        if (!(column in columnSet)) {\n",
       "          columns.push(columnSet[column] = column);\n",
       "        }\n",
       "      }\n",
       "    });\n",
       "\n",
       "    return columns;\n",
       "  }\n",
       "\n",
       "  function pad\\$1(value, width) {\n",
       "    var s = value + \"\", length = s.length;\n",
       "    return length < width ? new Array(width - length + 1).join(0) + s : s;\n",
       "  }\n",
       "\n",
       "  function formatYear\\$1(year) {\n",
       "    return year < 0 ? \"-\" + pad\\$1(-year, 6)\n",
       "      : year > 9999 ? \"+\" + pad\\$1(year, 6)\n",
       "      : pad\\$1(year, 4);\n",
       "  }\n",
       "\n",
       "  function formatDate\\$1(date) {\n",
       "    var hours = date.getUTCHours(),\n",
       "        minutes = date.getUTCMinutes(),\n",
       "        seconds = date.getUTCSeconds(),\n",
       "        milliseconds = date.getUTCMilliseconds();\n",
       "    return isNaN(date) ? \"Invalid Date\"\n",
       "        : formatYear\\$1(date.getUTCFullYear()) + \"-\" + pad\\$1(date.getUTCMonth() + 1, 2) + \"-\" + pad\\$1(date.getUTCDate(), 2)\n",
       "        + (milliseconds ? \"T\" + pad\\$1(hours, 2) + \":\" + pad\\$1(minutes, 2) + \":\" + pad\\$1(seconds, 2) + \".\" + pad\\$1(milliseconds, 3) + \"Z\"\n",
       "        : seconds ? \"T\" + pad\\$1(hours, 2) + \":\" + pad\\$1(minutes, 2) + \":\" + pad\\$1(seconds, 2) + \"Z\"\n",
       "        : minutes || hours ? \"T\" + pad\\$1(hours, 2) + \":\" + pad\\$1(minutes, 2) + \"Z\"\n",
       "        : \"\");\n",
       "  }\n",
       "\n",
       "  function dsv(delimiter) {\n",
       "    var reFormat = new RegExp(\"[\\\\\"\" + delimiter + \"\\\\n\\\\r]\"),\n",
       "        DELIMITER = delimiter.charCodeAt(0);\n",
       "\n",
       "    function parse(text, f) {\n",
       "      var convert, columns, rows = parseRows(text, function(row, i) {\n",
       "        if (convert) return convert(row, i - 1);\n",
       "        columns = row, convert = f ? customConverter(row, f) : objectConverter(row);\n",
       "      });\n",
       "      rows.columns = columns || [];\n",
       "      return rows;\n",
       "    }\n",
       "\n",
       "    function parseRows(text, f) {\n",
       "      var rows = [], // output rows\n",
       "          N = text.length,\n",
       "          I = 0, // current character index\n",
       "          n = 0, // current line number\n",
       "          t, // current token\n",
       "          eof = N <= 0, // current token followed by EOF?\n",
       "          eol = false; // current token followed by EOL?\n",
       "\n",
       "      // Strip the trailing newline.\n",
       "      if (text.charCodeAt(N - 1) === NEWLINE) --N;\n",
       "      if (text.charCodeAt(N - 1) === RETURN) --N;\n",
       "\n",
       "      function token() {\n",
       "        if (eof) return EOF;\n",
       "        if (eol) return eol = false, EOL;\n",
       "\n",
       "        // Unescape quotes.\n",
       "        var i, j = I, c;\n",
       "        if (text.charCodeAt(j) === QUOTE) {\n",
       "          while (I++ < N && text.charCodeAt(I) !== QUOTE || text.charCodeAt(++I) === QUOTE);\n",
       "          if ((i = I) >= N) eof = true;\n",
       "          else if ((c = text.charCodeAt(I++)) === NEWLINE) eol = true;\n",
       "          else if (c === RETURN) { eol = true; if (text.charCodeAt(I) === NEWLINE) ++I; }\n",
       "          return text.slice(j + 1, i - 1).replace(/\"\"/g, \"\\\\\"\");\n",
       "        }\n",
       "\n",
       "        // Find next delimiter or newline.\n",
       "        while (I < N) {\n",
       "          if ((c = text.charCodeAt(i = I++)) === NEWLINE) eol = true;\n",
       "          else if (c === RETURN) { eol = true; if (text.charCodeAt(I) === NEWLINE) ++I; }\n",
       "          else if (c !== DELIMITER) continue;\n",
       "          return text.slice(j, i);\n",
       "        }\n",
       "\n",
       "        // Return last token before EOF.\n",
       "        return eof = true, text.slice(j, N);\n",
       "      }\n",
       "\n",
       "      while ((t = token()) !== EOF) {\n",
       "        var row = [];\n",
       "        while (t !== EOL && t !== EOF) row.push(t), t = token();\n",
       "        if (f && (row = f(row, n++)) == null) continue;\n",
       "        rows.push(row);\n",
       "      }\n",
       "\n",
       "      return rows;\n",
       "    }\n",
       "\n",
       "    function preformatBody(rows, columns) {\n",
       "      return rows.map(function(row) {\n",
       "        return columns.map(function(column) {\n",
       "          return formatValue(row[column]);\n",
       "        }).join(delimiter);\n",
       "      });\n",
       "    }\n",
       "\n",
       "    function format(rows, columns) {\n",
       "      if (columns == null) columns = inferColumns(rows);\n",
       "      return [columns.map(formatValue).join(delimiter)].concat(preformatBody(rows, columns)).join(\"\\\\n\");\n",
       "    }\n",
       "\n",
       "    function formatBody(rows, columns) {\n",
       "      if (columns == null) columns = inferColumns(rows);\n",
       "      return preformatBody(rows, columns).join(\"\\\\n\");\n",
       "    }\n",
       "\n",
       "    function formatRows(rows) {\n",
       "      return rows.map(formatRow).join(\"\\\\n\");\n",
       "    }\n",
       "\n",
       "    function formatRow(row) {\n",
       "      return row.map(formatValue).join(delimiter);\n",
       "    }\n",
       "\n",
       "    function formatValue(value) {\n",
       "      return value == null ? \"\"\n",
       "          : value instanceof Date ? formatDate\\$1(value)\n",
       "          : reFormat.test(value += \"\") ? \"\\\\\"\" + value.replace(/\"/g, \"\\\\\"\\\\\"\") + \"\\\\\"\"\n",
       "          : value;\n",
       "    }\n",
       "\n",
       "    return {\n",
       "      parse: parse,\n",
       "      parseRows: parseRows,\n",
       "      format: format,\n",
       "      formatBody: formatBody,\n",
       "      formatRows: formatRows,\n",
       "      formatRow: formatRow,\n",
       "      formatValue: formatValue\n",
       "    };\n",
       "  }\n",
       "\n",
       "  var csv = dsv(\",\");\n",
       "\n",
       "  var csvParse = csv.parse;\n",
       "  var csvParseRows = csv.parseRows;\n",
       "\n",
       "  var tsv = dsv(\"\\\\t\");\n",
       "\n",
       "  var tsvParse = tsv.parse;\n",
       "  var tsvParseRows = tsv.parseRows;\n",
       "\n",
       "  function autoType(object) {\n",
       "    for (var key in object) {\n",
       "      var value = object[key].trim(), number, m;\n",
       "      if (!value) value = null;\n",
       "      else if (value === \"true\") value = true;\n",
       "      else if (value === \"false\") value = false;\n",
       "      else if (value === \"NaN\") value = NaN;\n",
       "      else if (!isNaN(number = +value)) value = number;\n",
       "      else if (m = value.match(/^([-+]\\\\d{2})?\\\\d{4}(-\\\\d{2}(-\\\\d{2})?)?(T\\\\d{2}:\\\\d{2}(:\\\\d{2}(\\\\.\\\\d{3})?)?(Z|[-+]\\\\d{2}:\\\\d{2})?)?\\$/)) {\n",
       "        if (fixtz && !!m[4] && !m[7]) value = value.replace(/-/g, \"/\").replace(/T/, \" \");\n",
       "        value = new Date(value);\n",
       "      }\n",
       "      else continue;\n",
       "      object[key] = value;\n",
       "    }\n",
       "    return object;\n",
       "  }\n",
       "\n",
       "  // https://github.com/d3/d3-dsv/issues/45\n",
       "  const fixtz = new Date(\"2019-01-01T00:00\").getHours() || new Date(\"2019-07-01T00:00\").getHours();\n",
       "\n",
       "  const metas = new Map;\n",
       "  const queue = [];\n",
       "  const map = queue.map;\n",
       "  const some = queue.some;\n",
       "  const hasOwnProperty\\$1 = queue.hasOwnProperty;\n",
       "  const origin = \"https://cdn.jsdelivr.net/npm/\";\n",
       "  const identifierRe = /^((?:@[^/@]+\\\\/)?[^/@]+)(?:@([^/]+))?(?:\\\\/(.*))?\\$/;\n",
       "  const versionRe = /^\\\\d+\\\\.\\\\d+\\\\.\\\\d+(-[\\\\w-.+]+)?\\$/;\n",
       "  const extensionRe = /\\\\.[^/]*\\$/;\n",
       "  const mains = [\"unpkg\", \"jsdelivr\", \"browser\", \"main\"];\n",
       "\n",
       "  class RequireError extends Error {\n",
       "    constructor(message) {\n",
       "      super(message);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  RequireError.prototype.name = RequireError.name;\n",
       "\n",
       "  function main(meta) {\n",
       "    for (const key of mains) {\n",
       "      const value = meta[key];\n",
       "      if (typeof value === \"string\") {\n",
       "        return extensionRe.test(value) ? value : \\`\\${value}.js\\`;\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function parseIdentifier(identifier) {\n",
       "    const match = identifierRe.exec(identifier);\n",
       "    return match && {\n",
       "      name: match[1],\n",
       "      version: match[2],\n",
       "      path: match[3]\n",
       "    };\n",
       "  }\n",
       "\n",
       "  function resolveMeta(target) {\n",
       "    const url = \\`\\${origin}\\${target.name}\\${target.version ? \\`@\\${target.version}\\` : \"\"}/package.json\\`;\n",
       "    let meta = metas.get(url);\n",
       "    if (!meta) metas.set(url, meta = fetch(url).then(response => {\n",
       "      if (!response.ok) throw new RequireError(\"unable to load package.json\");\n",
       "      if (response.redirected && !metas.has(response.url)) metas.set(response.url, meta);\n",
       "      return response.json();\n",
       "    }));\n",
       "    return meta;\n",
       "  }\n",
       "\n",
       "  async function resolve(name, base) {\n",
       "    if (name.startsWith(origin)) name = name.substring(origin.length);\n",
       "    if (/^(\\\\w+:)|\\\\/\\\\//i.test(name)) return name;\n",
       "    if (/^[.]{0,2}\\\\//i.test(name)) return new URL(name, base == null ? location : base).href;\n",
       "    if (!name.length || /^[\\\\s._]/.test(name) || /\\\\s\\$/.test(name)) throw new RequireError(\"illegal name\");\n",
       "    const target = parseIdentifier(name);\n",
       "    if (!target) return \\`\\${origin}\\${name}\\`;\n",
       "    if (!target.version && base != null && base.startsWith(origin)) {\n",
       "      const meta = await resolveMeta(parseIdentifier(base.substring(origin.length)));\n",
       "      target.version = meta.dependencies && meta.dependencies[target.name] || meta.peerDependencies && meta.peerDependencies[target.name];\n",
       "    }\n",
       "    if (target.path && !extensionRe.test(target.path)) target.path += \".js\";\n",
       "    if (target.path && target.version && versionRe.test(target.version)) return \\`\\${origin}\\${target.name}@\\${target.version}/\\${target.path}\\`;\n",
       "    const meta = await resolveMeta(target);\n",
       "    return \\`\\${origin}\\${meta.name}@\\${meta.version}/\\${target.path || main(meta) || \"index.js\"}\\`;\n",
       "  }\n",
       "\n",
       "  var require = requireFrom(resolve);\n",
       "\n",
       "  function requireFrom(resolver) {\n",
       "    const cache = new Map;\n",
       "    const requireBase = requireRelative(null);\n",
       "\n",
       "    function requireAbsolute(url) {\n",
       "      if (typeof url !== \"string\") return url;\n",
       "      let module = cache.get(url);\n",
       "      if (!module) cache.set(url, module = new Promise((resolve, reject) => {\n",
       "        const script = document.createElement(\"script\");\n",
       "        script.onload = () => {\n",
       "          try { resolve(queue.pop()(requireRelative(url))); }\n",
       "          catch (error) { reject(new RequireError(\"invalid module\")); }\n",
       "          script.remove();\n",
       "        };\n",
       "        script.onerror = () => {\n",
       "          reject(new RequireError(\"unable to load module\"));\n",
       "          script.remove();\n",
       "        };\n",
       "        script.async = true;\n",
       "        script.src = url;\n",
       "        window.define = define;\n",
       "        document.head.appendChild(script);\n",
       "      }));\n",
       "      return module;\n",
       "    }\n",
       "\n",
       "    function requireRelative(base) {\n",
       "      return name => Promise.resolve(resolver(name, base)).then(requireAbsolute);\n",
       "    }\n",
       "\n",
       "    function requireAlias(aliases) {\n",
       "      return requireFrom((name, base) => {\n",
       "        if (name in aliases) {\n",
       "          name = aliases[name], base = null;\n",
       "          if (typeof name !== \"string\") return name;\n",
       "        }\n",
       "        return resolver(name, base);\n",
       "      });\n",
       "    }\n",
       "\n",
       "    function require(name) {\n",
       "      return arguments.length > 1\n",
       "          ? Promise.all(map.call(arguments, requireBase)).then(merge)\n",
       "          : requireBase(name);\n",
       "    }\n",
       "\n",
       "    require.alias = requireAlias;\n",
       "    require.resolve = resolver;\n",
       "\n",
       "    return require;\n",
       "  }\n",
       "\n",
       "  function merge(modules) {\n",
       "    const o = {};\n",
       "    for (const m of modules) {\n",
       "      for (const k in m) {\n",
       "        if (hasOwnProperty\\$1.call(m, k)) {\n",
       "          if (m[k] == null) Object.defineProperty(o, k, {get: getter(m, k)});\n",
       "          else o[k] = m[k];\n",
       "        }\n",
       "      }\n",
       "    }\n",
       "    return o;\n",
       "  }\n",
       "\n",
       "  function getter(object, name) {\n",
       "    return () => object[name];\n",
       "  }\n",
       "\n",
       "  function isbuiltin(name) {\n",
       "    name = name + \"\";\n",
       "    return name === \"exports\" || name === \"module\";\n",
       "  }\n",
       "\n",
       "  function define(name, dependencies, factory) {\n",
       "    const n = arguments.length;\n",
       "    if (n < 2) factory = name, dependencies = [];\n",
       "    else if (n < 3) factory = dependencies, dependencies = typeof name === \"string\" ? [] : name;\n",
       "    queue.push(some.call(dependencies, isbuiltin) ? require => {\n",
       "      const exports = {};\n",
       "      const module = {exports};\n",
       "      return Promise.all(map.call(dependencies, name => {\n",
       "        name = name + \"\";\n",
       "        return name === \"exports\" ? exports : name === \"module\" ? module : require(name);\n",
       "      })).then(dependencies => {\n",
       "        factory.apply(null, dependencies);\n",
       "        return module.exports;\n",
       "      });\n",
       "    } : require => {\n",
       "      return Promise.all(map.call(dependencies, require)).then(dependencies => {\n",
       "        return typeof factory === \"function\" ? factory.apply(null, dependencies) : factory;\n",
       "      });\n",
       "    });\n",
       "  }\n",
       "\n",
       "  define.amd = {};\n",
       "\n",
       "  function dependency(name, version, main) {\n",
       "    return {\n",
       "      resolve(path = main) {\n",
       "        return \\`https://cdn.jsdelivr.net/npm/\\${name}@\\${version}/\\${path}\\`;\n",
       "      }\n",
       "    };\n",
       "  }\n",
       "\n",
       "  const d3 = dependency(\"d3\", \"7.0.4\", \"dist/d3.min.js\");\n",
       "  const inputs = dependency(\"@observablehq/inputs\", \"0.9.7\", \"dist/inputs.min.js\");\n",
       "  const plot = dependency(\"@observablehq/plot\", \"0.2.4\", \"dist/plot.umd.min.js\");\n",
       "  const graphviz = dependency(\"@observablehq/graphviz\", \"0.2.1\", \"dist/graphviz.min.js\");\n",
       "  const highlight = dependency(\"@observablehq/highlight.js\", \"2.0.0\", \"highlight.min.js\");\n",
       "  const katex = dependency(\"@observablehq/katex\", \"0.11.1\", \"dist/katex.min.js\");\n",
       "  const lodash = dependency(\"lodash\", \"4.17.21\", \"lodash.min.js\");\n",
       "  const htl = dependency(\"htl\", \"0.3.1\", \"dist/htl.min.js\");\n",
       "  const jszip = dependency(\"jszip\", \"3.7.1\", \"dist/jszip.min.js\");\n",
       "  const marked = dependency(\"marked\", \"0.3.12\", \"marked.min.js\");\n",
       "  const sql = dependency(\"sql.js\", \"1.6.1\", \"dist/sql-wasm.js\");\n",
       "  const vega = dependency(\"vega\", \"5.21.0\", \"build/vega.min.js\");\n",
       "  const vegalite = dependency(\"vega-lite\", \"5.1.1\", \"build/vega-lite.min.js\");\n",
       "  const vegaliteApi = dependency(\"vega-lite-api\", \"5.0.0\", \"build/vega-lite-api.min.js\");\n",
       "  const arrow = dependency(\"apache-arrow\", \"4.0.1\", \"Arrow.es2015.min.js\");\n",
       "  const arquero = dependency(\"arquero\", \"4.8.7\", \"dist/arquero.min.js\");\n",
       "  const topojson = dependency(\"topojson-client\", \"3.1.0\", \"dist/topojson-client.min.js\");\n",
       "  const exceljs = dependency(\"exceljs\", \"4.3.0\", \"dist/exceljs.min.js\");\n",
       "\n",
       "  async function sqlite(require) {\n",
       "    const init = await require(sql.resolve());\n",
       "    return init({locateFile: file => sql.resolve(\\`dist/\\${file}\\`)});\n",
       "  }\n",
       "\n",
       "  class SQLiteDatabaseClient {\n",
       "    constructor(db) {\n",
       "      Object.defineProperties(this, {\n",
       "        _db: {value: db}\n",
       "      });\n",
       "    }\n",
       "    static async open(source) {\n",
       "      const [SQL, buffer] = await Promise.all([sqlite(require), Promise.resolve(source).then(load)]);\n",
       "      return new SQLiteDatabaseClient(new SQL.Database(buffer));\n",
       "    }\n",
       "    async query(query, params) {\n",
       "      return await exec(this._db, query, params);\n",
       "    }\n",
       "    async queryRow(query, params) {\n",
       "      return (await this.query(query, params))[0] || null;\n",
       "    }\n",
       "    async explain(query, params) {\n",
       "      const rows = await this.query(\\`EXPLAIN QUERY PLAN \\${query}\\`, params);\n",
       "      return element(\"pre\", {className: \"observablehq--inspect\"}, [\n",
       "        text(rows.map(row => row.detail).join(\"\\\\n\"))\n",
       "      ]);\n",
       "    }\n",
       "    async describe(object) {\n",
       "      const rows = await (object === undefined\n",
       "        ? this.query(\\`SELECT name FROM sqlite_master WHERE type = 'table'\\`)\n",
       "        : this.query(\\`SELECT * FROM pragma_table_info(?)\\`, [object]));\n",
       "      if (!rows.length) throw new Error(\"Not found\");\n",
       "      const {columns} = rows;\n",
       "      return element(\"table\", {value: rows}, [\n",
       "        element(\"thead\", [element(\"tr\", columns.map(c => element(\"th\", [text(c)])))]),\n",
       "        element(\"tbody\", rows.map(r => element(\"tr\", columns.map(c => element(\"td\", [text(r[c])])))))\n",
       "      ]);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function load(source) {\n",
       "    return typeof source === \"string\" ? fetch(source).then(load)\n",
       "      : source instanceof Response || source instanceof Blob ? source.arrayBuffer().then(load)\n",
       "      : source instanceof ArrayBuffer ? new Uint8Array(source)\n",
       "      : source;\n",
       "  }\n",
       "\n",
       "  async function exec(db, query, params) {\n",
       "    const [result] = await db.exec(query, params);\n",
       "    if (!result) return [];\n",
       "    const {columns, values} = result;\n",
       "    const rows = values.map(row => Object.fromEntries(row.map((value, i) => [columns[i], value])));\n",
       "    rows.columns = columns;\n",
       "    return rows;\n",
       "  }\n",
       "\n",
       "  function element(name, props, children) {\n",
       "    if (arguments.length === 2) children = props, props = undefined;\n",
       "    const element = document.createElement(name);\n",
       "    if (props !== undefined) for (const p in props) element[p] = props[p];\n",
       "    if (children !== undefined) for (const c of children) element.appendChild(c);\n",
       "    return element;\n",
       "  }\n",
       "\n",
       "  function text(value) {\n",
       "    return document.createTextNode(value);\n",
       "  }\n",
       "\n",
       "  class Workbook {\n",
       "    constructor(workbook) {\n",
       "      Object.defineProperties(this, {\n",
       "        _: {value: workbook},\n",
       "        sheetNames: {\n",
       "          value: workbook.worksheets.map((s) => s.name),\n",
       "          enumerable: true,\n",
       "        },\n",
       "      });\n",
       "    }\n",
       "    sheet(name, options) {\n",
       "      const sname =\n",
       "        typeof name === \"number\"\n",
       "          ? this.sheetNames[name]\n",
       "          : this.sheetNames.includes((name += \"\"))\n",
       "          ? name\n",
       "          : null;\n",
       "      if (sname == null) throw new Error(\\`Sheet not found: \\${name}\\`);\n",
       "      const sheet = this._.getWorksheet(sname);\n",
       "      return extract(sheet, options);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function extract(sheet, {range, headers} = {}) {\n",
       "    let [[c0, r0], [c1, r1]] = parseRange(range, sheet);\n",
       "    const headerRow = headers ? sheet._rows[r0++] : null;\n",
       "    let names = new Set([\"#\"]);\n",
       "    for (let n = c0; n <= c1; n++) {\n",
       "      const value = headerRow ? valueOf(headerRow.findCell(n + 1)) : null;\n",
       "      let name = (value && value + \"\") || toColumn(n);\n",
       "      while (names.has(name)) name += \"_\";\n",
       "      names.add(name);\n",
       "    }\n",
       "    names = new Array(c0).concat(Array.from(names));\n",
       "\n",
       "    const output = new Array(r1 - r0 + 1);\n",
       "    for (let r = r0; r <= r1; r++) {\n",
       "      const row = (output[r - r0] = Object.create(null, {\"#\": {value: r + 1}}));\n",
       "      const _row = sheet.getRow(r + 1);\n",
       "      if (_row.hasValues)\n",
       "        for (let c = c0; c <= c1; c++) {\n",
       "          const value = valueOf(_row.findCell(c + 1));\n",
       "          if (value != null) row[names[c + 1]] = value;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    output.columns = names.filter(() => true); // Filter sparse columns\n",
       "    return output;\n",
       "  }\n",
       "\n",
       "  function valueOf(cell) {\n",
       "    if (!cell) return;\n",
       "    const {value} = cell;\n",
       "    if (value && typeof value === \"object\" && !(value instanceof Date)) {\n",
       "      if (value.formula || value.sharedFormula) {\n",
       "        return value.result && value.result.error ? NaN : value.result;\n",
       "      }\n",
       "      if (value.richText) {\n",
       "        return richText(value);\n",
       "      }\n",
       "      if (value.text) {\n",
       "        let {text} = value;\n",
       "        if (text.richText) text = richText(text);\n",
       "        return value.hyperlink && value.hyperlink !== text\n",
       "          ? \\`\\${value.hyperlink} \\${text}\\`\n",
       "          : text;\n",
       "      }\n",
       "      return value;\n",
       "    }\n",
       "    return value;\n",
       "  }\n",
       "\n",
       "  function richText(value) {\n",
       "    return value.richText.map((d) => d.text).join(\"\");\n",
       "  }\n",
       "\n",
       "  function parseRange(specifier = \":\", {columnCount, rowCount}) {\n",
       "    specifier += \"\";\n",
       "    if (!specifier.match(/^[A-Z]*\\\\d*:[A-Z]*\\\\d*\\$/))\n",
       "      throw new Error(\"Malformed range specifier\");\n",
       "    const [[c0 = 0, r0 = 0], [c1 = columnCount - 1, r1 = rowCount - 1]] =\n",
       "      specifier.split(\":\").map(fromCellReference);\n",
       "    return [\n",
       "      [c0, r0],\n",
       "      [c1, r1],\n",
       "    ];\n",
       "  }\n",
       "\n",
       "  // Returns the default column name for a zero-based column index.\n",
       "  // For example: 0 -> \"A\", 1 -> \"B\", 25 -> \"Z\", 26 -> \"AA\", 27 -> \"AB\".\n",
       "  function toColumn(c) {\n",
       "    let sc = \"\";\n",
       "    c++;\n",
       "    do {\n",
       "      sc = String.fromCharCode(64 + (c % 26 || 26)) + sc;\n",
       "    } while ((c = Math.floor((c - 1) / 26)));\n",
       "    return sc;\n",
       "  }\n",
       "\n",
       "  // Returns the zero-based indexes from a cell reference.\n",
       "  // For example: \"A1\" -> [0, 0], \"B2\" -> [1, 1], \"AA10\" -> [26, 9].\n",
       "  function fromCellReference(s) {\n",
       "    const [, sc, sr] = s.match(/^([A-Z]*)(\\\\d*)\\$/);\n",
       "    let c = 0;\n",
       "    if (sc)\n",
       "      for (let i = 0; i < sc.length; i++)\n",
       "        c += Math.pow(26, sc.length - i - 1) * (sc.charCodeAt(i) - 64);\n",
       "    return [c ? c - 1 : undefined, sr ? +sr - 1 : undefined];\n",
       "  }\n",
       "\n",
       "  async function remote_fetch(file) {\n",
       "    const response = await fetch(await file.url());\n",
       "    if (!response.ok) throw new Error(\\`Unable to load file: \\${file.name}\\`);\n",
       "    return response;\n",
       "  }\n",
       "\n",
       "  async function dsv\\$1(file, delimiter, {array = false, typed = false} = {}) {\n",
       "    const text = await file.text();\n",
       "    return (delimiter === \"\\\\t\"\n",
       "        ? (array ? tsvParseRows : tsvParse)\n",
       "        : (array ? csvParseRows : csvParse))(text, typed && autoType);\n",
       "  }\n",
       "\n",
       "  class AbstractFile {\n",
       "    constructor(name) {\n",
       "      Object.defineProperty(this, \"name\", {value: name, enumerable: true});\n",
       "    }\n",
       "    async blob() {\n",
       "      return (await remote_fetch(this)).blob();\n",
       "    }\n",
       "    async arrayBuffer() {\n",
       "      return (await remote_fetch(this)).arrayBuffer();\n",
       "    }\n",
       "    async text() {\n",
       "      return (await remote_fetch(this)).text();\n",
       "    }\n",
       "    async json() {\n",
       "      return (await remote_fetch(this)).json();\n",
       "    }\n",
       "    async stream() {\n",
       "      return (await remote_fetch(this)).body;\n",
       "    }\n",
       "    async csv(options) {\n",
       "      return dsv\\$1(this, \",\", options);\n",
       "    }\n",
       "    async tsv(options) {\n",
       "      return dsv\\$1(this, \"\\\\t\", options);\n",
       "    }\n",
       "    async image() {\n",
       "      const url = await this.url();\n",
       "      return new Promise((resolve, reject) => {\n",
       "        const i = new Image;\n",
       "        if (new URL(url, document.baseURI).origin !== new URL(location).origin) {\n",
       "          i.crossOrigin = \"anonymous\";\n",
       "        }\n",
       "        i.onload = () => resolve(i);\n",
       "        i.onerror = () => reject(new Error(\\`Unable to load file: \\${this.name}\\`));\n",
       "        i.src = url;\n",
       "      });\n",
       "    }\n",
       "    async arrow() {\n",
       "      const [Arrow, response] = await Promise.all([require(arrow.resolve()), remote_fetch(this)]);\n",
       "      return Arrow.Table.from(response);\n",
       "    }\n",
       "    async sqlite() {\n",
       "      return SQLiteDatabaseClient.open(remote_fetch(this));\n",
       "    }\n",
       "    async zip() {\n",
       "      const [JSZip, buffer] = await Promise.all([require(jszip.resolve()), this.arrayBuffer()]);\n",
       "      return new ZipArchive(await JSZip.loadAsync(buffer));\n",
       "    }\n",
       "    async xml(mimeType = \"application/xml\") {\n",
       "      return (new DOMParser).parseFromString(await this.text(), mimeType);\n",
       "    }\n",
       "    async html() {\n",
       "      return this.xml(\"text/html\");\n",
       "    }\n",
       "    async xlsx() {\n",
       "      const [ExcelJS, buffer] = await Promise.all([require(exceljs.resolve()), this.arrayBuffer()]);\n",
       "      return new Workbook(await new ExcelJS.Workbook().xlsx.load(buffer));\n",
       "    }\n",
       "  }\n",
       "\n",
       "  class FileAttachment extends AbstractFile {\n",
       "    constructor(url, name) {\n",
       "      super(name);\n",
       "      Object.defineProperty(this, \"_url\", {value: url});\n",
       "    }\n",
       "    async url() {\n",
       "      return (await this._url) + \"\";\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function NoFileAttachments(name) {\n",
       "    throw new Error(\\`File not found: \\${name}\\`);\n",
       "  }\n",
       "\n",
       "  function FileAttachments(resolve) {\n",
       "    return Object.assign(\n",
       "      name => {\n",
       "        const url = resolve(name += \"\"); // Returns a Promise, string, or null.\n",
       "        if (url == null) throw new Error(\\`File not found: \\${name}\\`);\n",
       "        return new FileAttachment(url, name);\n",
       "      },\n",
       "      {prototype: FileAttachment.prototype} // instanceof\n",
       "    );\n",
       "  }\n",
       "\n",
       "  class ZipArchive {\n",
       "    constructor(archive) {\n",
       "      Object.defineProperty(this, \"_\", {value: archive});\n",
       "      this.filenames = Object.keys(archive.files).filter(name => !archive.files[name].dir);\n",
       "    }\n",
       "    file(path) {\n",
       "      const object = this._.file(path += \"\");\n",
       "      if (!object || object.dir) throw new Error(\\`file not found: \\${path}\\`);\n",
       "      return new ZipArchiveEntry(object);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  class ZipArchiveEntry extends AbstractFile {\n",
       "    constructor(object) {\n",
       "      super(object.name);\n",
       "      Object.defineProperty(this, \"_\", {value: object});\n",
       "      Object.defineProperty(this, \"_url\", {writable: true});\n",
       "    }\n",
       "    async url() {\n",
       "      return this._url || (this._url = this.blob().then(URL.createObjectURL));\n",
       "    }\n",
       "    async blob() {\n",
       "      return this._.async(\"blob\");\n",
       "    }\n",
       "    async arrayBuffer() {\n",
       "      return this._.async(\"arraybuffer\");\n",
       "    }\n",
       "    async text() {\n",
       "      return this._.async(\"text\");\n",
       "    }\n",
       "    async json() {\n",
       "      return JSON.parse(await this.text());\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function canvas(width, height) {\n",
       "    var canvas = document.createElement(\"canvas\");\n",
       "    canvas.width = width;\n",
       "    canvas.height = height;\n",
       "    return canvas;\n",
       "  }\n",
       "\n",
       "  function context2d(width, height, dpi) {\n",
       "    if (dpi == null) dpi = devicePixelRatio;\n",
       "    var canvas = document.createElement(\"canvas\");\n",
       "    canvas.width = width * dpi;\n",
       "    canvas.height = height * dpi;\n",
       "    canvas.style.width = width + \"px\";\n",
       "    var context = canvas.getContext(\"2d\");\n",
       "    context.scale(dpi, dpi);\n",
       "    return context;\n",
       "  }\n",
       "\n",
       "  function download(value, name = \"untitled\", label = \"Save\") {\n",
       "    const a = document.createElement(\"a\");\n",
       "    const b = a.appendChild(document.createElement(\"button\"));\n",
       "    b.textContent = label;\n",
       "    a.download = name;\n",
       "\n",
       "    async function reset() {\n",
       "      await new Promise(requestAnimationFrame);\n",
       "      URL.revokeObjectURL(a.href);\n",
       "      a.removeAttribute(\"href\");\n",
       "      b.textContent = label;\n",
       "      b.disabled = false;\n",
       "    }\n",
       "\n",
       "    a.onclick = async event => {\n",
       "      b.disabled = true;\n",
       "      if (a.href) return reset(); // Already saved.\n",
       "      b.textContent = \"Saving…\";\n",
       "      try {\n",
       "        const object = await (typeof value === \"function\" ? value() : value);\n",
       "        b.textContent = \"Download\";\n",
       "        a.href = URL.createObjectURL(object); // eslint-disable-line require-atomic-updates\n",
       "      } catch (ignore) {\n",
       "        b.textContent = label;\n",
       "      }\n",
       "      if (event.eventPhase) return reset(); // Already downloaded.\n",
       "      b.disabled = false;\n",
       "    };\n",
       "\n",
       "    return a;\n",
       "  }\n",
       "\n",
       "  var namespaces = {\n",
       "    math: \"http://www.w3.org/1998/Math/MathML\",\n",
       "    svg: \"http://www.w3.org/2000/svg\",\n",
       "    xhtml: \"http://www.w3.org/1999/xhtml\",\n",
       "    xlink: \"http://www.w3.org/1999/xlink\",\n",
       "    xml: \"http://www.w3.org/XML/1998/namespace\",\n",
       "    xmlns: \"http://www.w3.org/2000/xmlns/\"\n",
       "  };\n",
       "\n",
       "  function element\\$1(name, attributes) {\n",
       "    var prefix = name += \"\", i = prefix.indexOf(\":\"), value;\n",
       "    if (i >= 0 && (prefix = name.slice(0, i)) !== \"xmlns\") name = name.slice(i + 1);\n",
       "    var element = namespaces.hasOwnProperty(prefix) // eslint-disable-line no-prototype-builtins\n",
       "        ? document.createElementNS(namespaces[prefix], name)\n",
       "        : document.createElement(name);\n",
       "    if (attributes) for (var key in attributes) {\n",
       "      prefix = key, i = prefix.indexOf(\":\"), value = attributes[key];\n",
       "      if (i >= 0 && (prefix = key.slice(0, i)) !== \"xmlns\") key = key.slice(i + 1);\n",
       "      if (namespaces.hasOwnProperty(prefix)) element.setAttributeNS(namespaces[prefix], key, value); // eslint-disable-line no-prototype-builtins\n",
       "      else element.setAttribute(key, value);\n",
       "    }\n",
       "    return element;\n",
       "  }\n",
       "\n",
       "  function input(type) {\n",
       "    var input = document.createElement(\"input\");\n",
       "    if (type != null) input.type = type;\n",
       "    return input;\n",
       "  }\n",
       "\n",
       "  function range(min, max, step) {\n",
       "    if (arguments.length === 1) max = min, min = null;\n",
       "    var input = document.createElement(\"input\");\n",
       "    input.min = min = min == null ? 0 : +min;\n",
       "    input.max = max = max == null ? 1 : +max;\n",
       "    input.step = step == null ? \"any\" : step = +step;\n",
       "    input.type = \"range\";\n",
       "    return input;\n",
       "  }\n",
       "\n",
       "  function select(values) {\n",
       "    var select = document.createElement(\"select\");\n",
       "    Array.prototype.forEach.call(values, function(value) {\n",
       "      var option = document.createElement(\"option\");\n",
       "      option.value = option.textContent = value;\n",
       "      select.appendChild(option);\n",
       "    });\n",
       "    return select;\n",
       "  }\n",
       "\n",
       "  function svg(width, height) {\n",
       "    var svg = document.createElementNS(\"http://www.w3.org/2000/svg\", \"svg\");\n",
       "    svg.setAttribute(\"viewBox\", [0, 0, width, height]);\n",
       "    svg.setAttribute(\"width\", width);\n",
       "    svg.setAttribute(\"height\", height);\n",
       "    return svg;\n",
       "  }\n",
       "\n",
       "  function text\\$1(value) {\n",
       "    return document.createTextNode(value);\n",
       "  }\n",
       "\n",
       "  var count\\$1 = 0;\n",
       "\n",
       "  function uid(name) {\n",
       "    return new Id(\"O-\" + (name == null ? \"\" : name + \"-\") + ++count\\$1);\n",
       "  }\n",
       "\n",
       "  function Id(id) {\n",
       "    this.id = id;\n",
       "    this.href = new URL(\\`#\\${id}\\`, location) + \"\";\n",
       "  }\n",
       "\n",
       "  Id.prototype.toString = function() {\n",
       "    return \"url(\" + this.href + \")\";\n",
       "  };\n",
       "\n",
       "  var DOM = {\n",
       "    canvas: canvas,\n",
       "    context2d: context2d,\n",
       "    download: download,\n",
       "    element: element\\$1,\n",
       "    input: input,\n",
       "    range: range,\n",
       "    select: select,\n",
       "    svg: svg,\n",
       "    text: text\\$1,\n",
       "    uid: uid\n",
       "  };\n",
       "\n",
       "  function buffer(file) {\n",
       "    return new Promise(function(resolve, reject) {\n",
       "      var reader = new FileReader;\n",
       "      reader.onload = function() { resolve(reader.result); };\n",
       "      reader.onerror = reject;\n",
       "      reader.readAsArrayBuffer(file);\n",
       "    });\n",
       "  }\n",
       "\n",
       "  function text\\$2(file) {\n",
       "    return new Promise(function(resolve, reject) {\n",
       "      var reader = new FileReader;\n",
       "      reader.onload = function() { resolve(reader.result); };\n",
       "      reader.onerror = reject;\n",
       "      reader.readAsText(file);\n",
       "    });\n",
       "  }\n",
       "\n",
       "  function url(file) {\n",
       "    return new Promise(function(resolve, reject) {\n",
       "      var reader = new FileReader;\n",
       "      reader.onload = function() { resolve(reader.result); };\n",
       "      reader.onerror = reject;\n",
       "      reader.readAsDataURL(file);\n",
       "    });\n",
       "  }\n",
       "\n",
       "  var Files = {\n",
       "    buffer: buffer,\n",
       "    text: text\\$2,\n",
       "    url: url\n",
       "  };\n",
       "\n",
       "  function that() {\n",
       "    return this;\n",
       "  }\n",
       "\n",
       "  function disposable(value, dispose) {\n",
       "    let done = false;\n",
       "    if (typeof dispose !== \"function\") {\n",
       "      throw new Error(\"dispose is not a function\");\n",
       "    }\n",
       "    return {\n",
       "      [Symbol.iterator]: that,\n",
       "      next: () => done ? {done: true} : (done = true, {done: false, value}),\n",
       "      return: () => (done = true, dispose(value), {done: true}),\n",
       "      throw: () => ({done: done = true})\n",
       "    };\n",
       "  }\n",
       "\n",
       "  function* filter(iterator, test) {\n",
       "    var result, index = -1;\n",
       "    while (!(result = iterator.next()).done) {\n",
       "      if (test(result.value, ++index)) {\n",
       "        yield result.value;\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function observe(initialize) {\n",
       "    let stale = false;\n",
       "    let value;\n",
       "    let resolve;\n",
       "    const dispose = initialize(change);\n",
       "\n",
       "    if (dispose != null && typeof dispose !== \"function\") {\n",
       "      throw new Error(typeof dispose.then === \"function\"\n",
       "          ? \"async initializers are not supported\"\n",
       "          : \"initializer returned something, but not a dispose function\");\n",
       "    }\n",
       "\n",
       "    function change(x) {\n",
       "      if (resolve) resolve(x), resolve = null;\n",
       "      else stale = true;\n",
       "      return value = x;\n",
       "    }\n",
       "\n",
       "    function next() {\n",
       "      return {done: false, value: stale\n",
       "          ? (stale = false, Promise.resolve(value))\n",
       "          : new Promise(_ => (resolve = _))};\n",
       "    }\n",
       "\n",
       "    return {\n",
       "      [Symbol.iterator]: that,\n",
       "      throw: () => ({done: true}),\n",
       "      return: () => (dispose != null && dispose(), {done: true}),\n",
       "      next\n",
       "    };\n",
       "  }\n",
       "\n",
       "  function input\\$1(input) {\n",
       "    return observe(function(change) {\n",
       "      var event = eventof(input), value = valueof\\$1(input);\n",
       "      function inputted() { change(valueof\\$1(input)); }\n",
       "      input.addEventListener(event, inputted);\n",
       "      if (value !== undefined) change(value);\n",
       "      return function() { input.removeEventListener(event, inputted); };\n",
       "    });\n",
       "  }\n",
       "\n",
       "  function valueof\\$1(input) {\n",
       "    switch (input.type) {\n",
       "      case \"range\":\n",
       "      case \"number\": return input.valueAsNumber;\n",
       "      case \"date\": return input.valueAsDate;\n",
       "      case \"checkbox\": return input.checked;\n",
       "      case \"file\": return input.multiple ? input.files : input.files[0];\n",
       "      case \"select-multiple\": return Array.from(input.selectedOptions, o => o.value);\n",
       "      default: return input.value;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function eventof(input) {\n",
       "    switch (input.type) {\n",
       "      case \"button\":\n",
       "      case \"submit\":\n",
       "      case \"checkbox\": return \"click\";\n",
       "      case \"file\": return \"change\";\n",
       "      default: return \"input\";\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function* map\\$1(iterator, transform) {\n",
       "    var result, index = -1;\n",
       "    while (!(result = iterator.next()).done) {\n",
       "      yield transform(result.value, ++index);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function queue\\$1(initialize) {\n",
       "    let resolve;\n",
       "    const queue = [];\n",
       "    const dispose = initialize(push);\n",
       "\n",
       "    if (dispose != null && typeof dispose !== \"function\") {\n",
       "      throw new Error(typeof dispose.then === \"function\"\n",
       "          ? \"async initializers are not supported\"\n",
       "          : \"initializer returned something, but not a dispose function\");\n",
       "    }\n",
       "\n",
       "    function push(x) {\n",
       "      queue.push(x);\n",
       "      if (resolve) resolve(queue.shift()), resolve = null;\n",
       "      return x;\n",
       "    }\n",
       "\n",
       "    function next() {\n",
       "      return {done: false, value: queue.length\n",
       "          ? Promise.resolve(queue.shift())\n",
       "          : new Promise(_ => (resolve = _))};\n",
       "    }\n",
       "\n",
       "    return {\n",
       "      [Symbol.iterator]: that,\n",
       "      throw: () => ({done: true}),\n",
       "      return: () => (dispose != null && dispose(), {done: true}),\n",
       "      next\n",
       "    };\n",
       "  }\n",
       "\n",
       "  function* range\\$1(start, stop, step) {\n",
       "    start = +start;\n",
       "    stop = +stop;\n",
       "    step = (n = arguments.length) < 2 ? (stop = start, start = 0, 1) : n < 3 ? 1 : +step;\n",
       "    var i = -1, n = Math.max(0, Math.ceil((stop - start) / step)) | 0;\n",
       "    while (++i < n) {\n",
       "      yield start + i * step;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function valueAt(iterator, i) {\n",
       "    if (!isFinite(i = +i) || i < 0 || i !== i | 0) return;\n",
       "    var result, index = -1;\n",
       "    while (!(result = iterator.next()).done) {\n",
       "      if (++index === i) {\n",
       "        return result.value;\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function worker(source) {\n",
       "    const url = URL.createObjectURL(new Blob([source], {type: \"text/javascript\"}));\n",
       "    const worker = new Worker(url);\n",
       "    return disposable(worker, () => {\n",
       "      worker.terminate();\n",
       "      URL.revokeObjectURL(url);\n",
       "    });\n",
       "  }\n",
       "\n",
       "  var Generators = {\n",
       "    disposable: disposable,\n",
       "    filter: filter,\n",
       "    input: input\\$1,\n",
       "    map: map\\$1,\n",
       "    observe: observe,\n",
       "    queue: queue\\$1,\n",
       "    range: range\\$1,\n",
       "    valueAt: valueAt,\n",
       "    worker: worker\n",
       "  };\n",
       "\n",
       "  function template(render, wrapper) {\n",
       "    return function(strings) {\n",
       "      var string = strings[0],\n",
       "          parts = [], part,\n",
       "          root = null,\n",
       "          node, nodes,\n",
       "          walker,\n",
       "          i, n, j, m, k = -1;\n",
       "\n",
       "      // Concatenate the text using comments as placeholders.\n",
       "      for (i = 1, n = arguments.length; i < n; ++i) {\n",
       "        part = arguments[i];\n",
       "        if (part instanceof Node) {\n",
       "          parts[++k] = part;\n",
       "          string += \"<!--o:\" + k + \"-->\";\n",
       "        } else if (Array.isArray(part)) {\n",
       "          for (j = 0, m = part.length; j < m; ++j) {\n",
       "            node = part[j];\n",
       "            if (node instanceof Node) {\n",
       "              if (root === null) {\n",
       "                parts[++k] = root = document.createDocumentFragment();\n",
       "                string += \"<!--o:\" + k + \"-->\";\n",
       "              }\n",
       "              root.appendChild(node);\n",
       "            } else {\n",
       "              root = null;\n",
       "              string += node;\n",
       "            }\n",
       "          }\n",
       "          root = null;\n",
       "        } else {\n",
       "          string += part;\n",
       "        }\n",
       "        string += strings[i];\n",
       "      }\n",
       "\n",
       "      // Render the text.\n",
       "      root = render(string);\n",
       "\n",
       "      // Walk the rendered content to replace comment placeholders.\n",
       "      if (++k > 0) {\n",
       "        nodes = new Array(k);\n",
       "        walker = document.createTreeWalker(root, NodeFilter.SHOW_COMMENT, null, false);\n",
       "        while (walker.nextNode()) {\n",
       "          node = walker.currentNode;\n",
       "          if (/^o:/.test(node.nodeValue)) {\n",
       "            nodes[+node.nodeValue.slice(2)] = node;\n",
       "          }\n",
       "        }\n",
       "        for (i = 0; i < k; ++i) {\n",
       "          if (node = nodes[i]) {\n",
       "            node.parentNode.replaceChild(parts[i], node);\n",
       "          }\n",
       "        }\n",
       "      }\n",
       "\n",
       "      // Is the rendered content\n",
       "      // … a parent of a single child? Detach and return the child.\n",
       "      // … a document fragment? Replace the fragment with an element.\n",
       "      // … some other node? Return it.\n",
       "      return root.childNodes.length === 1 ? root.removeChild(root.firstChild)\n",
       "          : root.nodeType === 11 ? ((node = wrapper()).appendChild(root), node)\n",
       "          : root;\n",
       "    };\n",
       "  }\n",
       "\n",
       "  var html = template(function(string) {\n",
       "    var template = document.createElement(\"template\");\n",
       "    template.innerHTML = string.trim();\n",
       "    return document.importNode(template.content, true);\n",
       "  }, function() {\n",
       "    return document.createElement(\"span\");\n",
       "  });\n",
       "\n",
       "  function md(require) {\n",
       "    return require(marked.resolve()).then(function(marked) {\n",
       "      return template(\n",
       "        function(string) {\n",
       "          var root = document.createElement(\"div\");\n",
       "          root.innerHTML = marked(string, {langPrefix: \"\"}).trim();\n",
       "          var code = root.querySelectorAll(\"pre code[class]\");\n",
       "          if (code.length > 0) {\n",
       "            require(highlight.resolve()).then(function(hl) {\n",
       "              code.forEach(function(block) {\n",
       "                function done() {\n",
       "                  hl.highlightBlock(block);\n",
       "                  block.parentNode.classList.add(\"observablehq--md-pre\");\n",
       "                }\n",
       "                if (hl.getLanguage(block.className)) {\n",
       "                  done();\n",
       "                } else {\n",
       "                  require(highlight.resolve(\"async-languages/index.js\"))\n",
       "                    .then(index => {\n",
       "                      if (index.has(block.className)) {\n",
       "                        return require(highlight.resolve(\"async-languages/\" + index.get(block.className))).then(language => {\n",
       "                          hl.registerLanguage(block.className, language);\n",
       "                        });\n",
       "                      }\n",
       "                    })\n",
       "                    .then(done, done);\n",
       "                }\n",
       "              });\n",
       "            });\n",
       "          }\n",
       "          return root;\n",
       "        },\n",
       "        function() {\n",
       "          return document.createElement(\"div\");\n",
       "        }\n",
       "      );\n",
       "    });\n",
       "  }\n",
       "\n",
       "  function Mutable(value) {\n",
       "    let change;\n",
       "    Object.defineProperties(this, {\n",
       "      generator: {value: observe(_ => void (change = _))},\n",
       "      value: {get: () => value, set: x => change(value = x)} // eslint-disable-line no-setter-return\n",
       "    });\n",
       "    if (value !== undefined) change(value);\n",
       "  }\n",
       "\n",
       "  function* now() {\n",
       "    while (true) {\n",
       "      yield Date.now();\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function delay(duration, value) {\n",
       "    return new Promise(function(resolve) {\n",
       "      setTimeout(function() {\n",
       "        resolve(value);\n",
       "      }, duration);\n",
       "    });\n",
       "  }\n",
       "\n",
       "  var timeouts = new Map;\n",
       "\n",
       "  function timeout(now, time) {\n",
       "    var t = new Promise(function(resolve) {\n",
       "      timeouts.delete(time);\n",
       "      var delay = time - now;\n",
       "      if (!(delay > 0)) throw new Error(\"invalid time\");\n",
       "      if (delay > 0x7fffffff) throw new Error(\"too long to wait\");\n",
       "      setTimeout(resolve, delay);\n",
       "    });\n",
       "    timeouts.set(time, t);\n",
       "    return t;\n",
       "  }\n",
       "\n",
       "  function when(time, value) {\n",
       "    var now;\n",
       "    return (now = timeouts.get(time = +time)) ? now.then(() => value)\n",
       "        : (now = Date.now()) >= time ? Promise.resolve(value)\n",
       "        : timeout(now, time).then(() => value);\n",
       "  }\n",
       "\n",
       "  function tick(duration, value) {\n",
       "    return when(Math.ceil((Date.now() + 1) / duration) * duration, value);\n",
       "  }\n",
       "\n",
       "  var Promises = {\n",
       "    delay: delay,\n",
       "    tick: tick,\n",
       "    when: when\n",
       "  };\n",
       "\n",
       "  function resolve\\$1(name, base) {\n",
       "    if (/^(\\\\w+:)|\\\\/\\\\//i.test(name)) return name;\n",
       "    if (/^[.]{0,2}\\\\//i.test(name)) return new URL(name, base == null ? location : base).href;\n",
       "    if (!name.length || /^[\\\\s._]/.test(name) || /\\\\s\\$/.test(name)) throw new Error(\"illegal name\");\n",
       "    return \"https://unpkg.com/\" + name;\n",
       "  }\n",
       "\n",
       "  function requirer(resolve) {\n",
       "    return resolve == null ? require : requireFrom(resolve);\n",
       "  }\n",
       "\n",
       "  var svg\\$1 = template(function(string) {\n",
       "    var root = document.createElementNS(\"http://www.w3.org/2000/svg\", \"g\");\n",
       "    root.innerHTML = string.trim();\n",
       "    return root;\n",
       "  }, function() {\n",
       "    return document.createElementNS(\"http://www.w3.org/2000/svg\", \"g\");\n",
       "  });\n",
       "\n",
       "  var raw = String.raw;\n",
       "\n",
       "  function style(href) {\n",
       "    return new Promise(function(resolve, reject) {\n",
       "      var link = document.createElement(\"link\");\n",
       "      link.rel = \"stylesheet\";\n",
       "      link.href = href;\n",
       "      link.onerror = reject;\n",
       "      link.onload = resolve;\n",
       "      document.head.appendChild(link);\n",
       "    });\n",
       "  }\n",
       "\n",
       "  function tex(require) {\n",
       "    return Promise.all([\n",
       "      require(katex.resolve()),\n",
       "      style(katex.resolve(\"dist/katex.min.css\"))\n",
       "    ]).then(function(values) {\n",
       "      var katex = values[0], tex = renderer();\n",
       "\n",
       "      function renderer(options) {\n",
       "        return function() {\n",
       "          var root = document.createElement(\"div\");\n",
       "          katex.render(raw.apply(String, arguments), root, options);\n",
       "          return root.removeChild(root.firstChild);\n",
       "        };\n",
       "      }\n",
       "\n",
       "      tex.options = renderer;\n",
       "      tex.block = renderer({displayMode: true});\n",
       "      return tex;\n",
       "    });\n",
       "  }\n",
       "\n",
       "  async function vl(require) {\n",
       "    const [v, vl, api] = await Promise.all([vega, vegalite, vegaliteApi].map(d => require(d.resolve())));\n",
       "    return api.register(v, vl);\n",
       "  }\n",
       "\n",
       "  function width() {\n",
       "    return observe(function(change) {\n",
       "      var width = change(document.body.clientWidth);\n",
       "      function resized() {\n",
       "        var w = document.body.clientWidth;\n",
       "        if (w !== width) change(width = w);\n",
       "      }\n",
       "      window.addEventListener(\"resize\", resized);\n",
       "      return function() {\n",
       "        window.removeEventListener(\"resize\", resized);\n",
       "      };\n",
       "    });\n",
       "  }\n",
       "\n",
       "  var Library = Object.assign(function Library(resolver) {\n",
       "    const require = requirer(resolver);\n",
       "    Object.defineProperties(this, properties({\n",
       "      FileAttachment: () => NoFileAttachments,\n",
       "      Arrow: () => require(arrow.resolve()),\n",
       "      Inputs: () => require(inputs.resolve()),\n",
       "      Mutable: () => Mutable,\n",
       "      Plot: () => require(plot.resolve()),\n",
       "      SQLite: () => sqlite(require),\n",
       "      SQLiteDatabaseClient: () => SQLiteDatabaseClient,\n",
       "      _: () => require(lodash.resolve()),\n",
       "      aq: () => require.alias({\"apache-arrow\": arrow.resolve()})(arquero.resolve()),\n",
       "      d3: () => require(d3.resolve()),\n",
       "      dot: () => require(graphviz.resolve()),\n",
       "      htl: () => require(htl.resolve()),\n",
       "      html: () => html,\n",
       "      md: () => md(require),\n",
       "      now,\n",
       "      require: () => require,\n",
       "      resolve: () => resolve\\$1,\n",
       "      svg: () => svg\\$1,\n",
       "      tex: () => tex(require),\n",
       "      topojson: () => require(topojson.resolve()),\n",
       "      vl: () => vl(require),\n",
       "      width,\n",
       "\n",
       "      // Note: these are namespace objects, and thus exposed directly rather than\n",
       "      // being wrapped in a function. This allows library.Generators to resolve,\n",
       "      // rather than needing module.value.\n",
       "      DOM,\n",
       "      Files,\n",
       "      Generators,\n",
       "      Promises\n",
       "    }));\n",
       "  }, {resolve: require.resolve});\n",
       "\n",
       "  function properties(values) {\n",
       "    return Object.fromEntries(Object.entries(values).map(property));\n",
       "  }\n",
       "\n",
       "  function property([key, value]) {\n",
       "    return [key, ({value, writable: true, enumerable: true})];\n",
       "  }\n",
       "\n",
       "  function RuntimeError(message, input) {\n",
       "    this.message = message + \"\";\n",
       "    this.input = input;\n",
       "  }\n",
       "\n",
       "  RuntimeError.prototype = Object.create(Error.prototype);\n",
       "  RuntimeError.prototype.name = \"RuntimeError\";\n",
       "  RuntimeError.prototype.constructor = RuntimeError;\n",
       "\n",
       "  function generatorish(value) {\n",
       "    return value\n",
       "        && typeof value.next === \"function\"\n",
       "        && typeof value.return === \"function\";\n",
       "  }\n",
       "\n",
       "  function load\\$1(notebook, library, observer) {\n",
       "    if (typeof library == \"function\") observer = library, library = null;\n",
       "    if (typeof observer !== \"function\") throw new Error(\"invalid observer\");\n",
       "    if (library == null) library = new Library();\n",
       "\n",
       "    const {modules, id} = notebook;\n",
       "    const map = new Map;\n",
       "    const runtime = new Runtime(library);\n",
       "    const main = runtime_module(id);\n",
       "\n",
       "    function runtime_module(id) {\n",
       "      let module = map.get(id);\n",
       "      if (!module) map.set(id, module = runtime.module());\n",
       "      return module;\n",
       "    }\n",
       "\n",
       "    for (const m of modules) {\n",
       "      const module = runtime_module(m.id);\n",
       "      let i = 0;\n",
       "      for (const v of m.variables) {\n",
       "        if (v.from) module.import(v.remote, v.name, runtime_module(v.from));\n",
       "        else if (module === main) module.variable(observer(v, i, m.variables)).define(v.name, v.inputs, v.value);\n",
       "        else module.define(v.name, v.inputs, v.value);\n",
       "        ++i;\n",
       "      }\n",
       "    }\n",
       "\n",
       "    return runtime;\n",
       "  }\n",
       "\n",
       "  function constant(x) {\n",
       "    return function() {\n",
       "      return x;\n",
       "    };\n",
       "  }\n",
       "\n",
       "  function identity(x) {\n",
       "    return x;\n",
       "  }\n",
       "\n",
       "  function rethrow(e) {\n",
       "    return function() {\n",
       "      throw e;\n",
       "    };\n",
       "  }\n",
       "\n",
       "  var prototype = Array.prototype;\n",
       "  var map\\$2 = prototype.map;\n",
       "\n",
       "  function noop() {}\n",
       "\n",
       "  var TYPE_NORMAL = 1; // a normal variable\n",
       "  var TYPE_IMPLICIT = 2; // created on reference\n",
       "  var TYPE_DUPLICATE = 3; // created on duplicate definition\n",
       "\n",
       "  var no_observer = {};\n",
       "\n",
       "  function Variable(type, module, observer) {\n",
       "    if (!observer) observer = no_observer;\n",
       "    Object.defineProperties(this, {\n",
       "      _observer: {value: observer, writable: true},\n",
       "      _definition: {value: variable_undefined, writable: true},\n",
       "      _duplicate: {value: undefined, writable: true},\n",
       "      _duplicates: {value: undefined, writable: true},\n",
       "      _indegree: {value: NaN, writable: true}, // The number of computing inputs.\n",
       "      _inputs: {value: [], writable: true},\n",
       "      _invalidate: {value: noop, writable: true},\n",
       "      _module: {value: module},\n",
       "      _name: {value: null, writable: true},\n",
       "      _outputs: {value: new Set, writable: true},\n",
       "      _promise: {value: Promise.resolve(undefined), writable: true},\n",
       "      _reachable: {value: observer !== no_observer, writable: true}, // Is this variable transitively visible?\n",
       "      _rejector: {value: variable_rejector(this)},\n",
       "      _type: {value: type},\n",
       "      _value: {value: undefined, writable: true},\n",
       "      _version: {value: 0, writable: true}\n",
       "    });\n",
       "  }\n",
       "\n",
       "  Object.defineProperties(Variable.prototype, {\n",
       "    _pending: {value: variable_pending, writable: true, configurable: true},\n",
       "    _fulfilled: {value: variable_fulfilled, writable: true, configurable: true},\n",
       "    _rejected: {value: variable_rejected, writable: true, configurable: true},\n",
       "    define: {value: variable_define, writable: true, configurable: true},\n",
       "    delete: {value: variable_delete, writable: true, configurable: true},\n",
       "    import: {value: variable_import, writable: true, configurable: true}\n",
       "  });\n",
       "\n",
       "  function variable_attach(variable) {\n",
       "    variable._module._runtime._dirty.add(variable);\n",
       "    variable._outputs.add(this);\n",
       "  }\n",
       "\n",
       "  function variable_detach(variable) {\n",
       "    variable._module._runtime._dirty.add(variable);\n",
       "    variable._outputs.delete(this);\n",
       "  }\n",
       "\n",
       "  function variable_undefined() {\n",
       "    throw variable_undefined;\n",
       "  }\n",
       "\n",
       "  function variable_stale() {\n",
       "    throw variable_stale;\n",
       "  }\n",
       "\n",
       "  function variable_rejector(variable) {\n",
       "    return function(error) {\n",
       "      if (error === variable_stale) throw error;\n",
       "      if (error === variable_undefined) throw new RuntimeError(variable._name + \" is not defined\", variable._name);\n",
       "      if (error instanceof Error && error.message) throw new RuntimeError(error.message, variable._name);\n",
       "      throw new RuntimeError(variable._name + \" could not be resolved\", variable._name);\n",
       "    };\n",
       "  }\n",
       "\n",
       "  function variable_duplicate(name) {\n",
       "    return function() {\n",
       "      throw new RuntimeError(name + \" is defined more than once\");\n",
       "    };\n",
       "  }\n",
       "\n",
       "  function variable_define(name, inputs, definition) {\n",
       "    switch (arguments.length) {\n",
       "      case 1: {\n",
       "        definition = name, name = inputs = null;\n",
       "        break;\n",
       "      }\n",
       "      case 2: {\n",
       "        definition = inputs;\n",
       "        if (typeof name === \"string\") inputs = null;\n",
       "        else inputs = name, name = null;\n",
       "        break;\n",
       "      }\n",
       "    }\n",
       "    return variable_defineImpl.call(this,\n",
       "      name == null ? null : name + \"\",\n",
       "      inputs == null ? [] : map\\$2.call(inputs, this._module._resolve, this._module),\n",
       "      typeof definition === \"function\" ? definition : constant(definition)\n",
       "    );\n",
       "  }\n",
       "\n",
       "  function variable_defineImpl(name, inputs, definition) {\n",
       "    var scope = this._module._scope, runtime = this._module._runtime;\n",
       "\n",
       "    this._inputs.forEach(variable_detach, this);\n",
       "    inputs.forEach(variable_attach, this);\n",
       "    this._inputs = inputs;\n",
       "    this._definition = definition;\n",
       "    this._value = undefined;\n",
       "\n",
       "    // Is this an active variable (that may require disposal)?\n",
       "    if (definition === noop) runtime._variables.delete(this);\n",
       "    else runtime._variables.add(this);\n",
       "\n",
       "    // Did the variable’s name change? Time to patch references!\n",
       "    if (name !== this._name || scope.get(name) !== this) {\n",
       "      var error, found;\n",
       "\n",
       "      if (this._name) { // Did this variable previously have a name?\n",
       "        if (this._outputs.size) { // And did other variables reference this variable?\n",
       "          scope.delete(this._name);\n",
       "          found = this._module._resolve(this._name);\n",
       "          found._outputs = this._outputs, this._outputs = new Set;\n",
       "          found._outputs.forEach(function(output) { output._inputs[output._inputs.indexOf(this)] = found; }, this);\n",
       "          found._outputs.forEach(runtime._updates.add, runtime._updates);\n",
       "          runtime._dirty.add(found).add(this);\n",
       "          scope.set(this._name, found);\n",
       "        } else if ((found = scope.get(this._name)) === this) { // Do no other variables reference this variable?\n",
       "          scope.delete(this._name); // It’s safe to delete!\n",
       "        } else if (found._type === TYPE_DUPLICATE) { // Do other variables assign this name?\n",
       "          found._duplicates.delete(this); // This variable no longer assigns this name.\n",
       "          this._duplicate = undefined;\n",
       "          if (found._duplicates.size === 1) { // Is there now only one variable assigning this name?\n",
       "            found = found._duplicates.keys().next().value; // Any references are now fixed!\n",
       "            error = scope.get(this._name);\n",
       "            found._outputs = error._outputs, error._outputs = new Set;\n",
       "            found._outputs.forEach(function(output) { output._inputs[output._inputs.indexOf(error)] = found; });\n",
       "            found._definition = found._duplicate, found._duplicate = undefined;\n",
       "            runtime._dirty.add(error).add(found);\n",
       "            runtime._updates.add(found);\n",
       "            scope.set(this._name, found);\n",
       "          }\n",
       "        } else {\n",
       "          throw new Error;\n",
       "        }\n",
       "      }\n",
       "\n",
       "      if (this._outputs.size) throw new Error;\n",
       "\n",
       "      if (name) { // Does this variable have a new name?\n",
       "        if (found = scope.get(name)) { // Do other variables reference or assign this name?\n",
       "          if (found._type === TYPE_DUPLICATE) { // Do multiple other variables already define this name?\n",
       "            this._definition = variable_duplicate(name), this._duplicate = definition;\n",
       "            found._duplicates.add(this);\n",
       "          } else if (found._type === TYPE_IMPLICIT) { // Are the variable references broken?\n",
       "            this._outputs = found._outputs, found._outputs = new Set; // Now they’re fixed!\n",
       "            this._outputs.forEach(function(output) { output._inputs[output._inputs.indexOf(found)] = this; }, this);\n",
       "            runtime._dirty.add(found).add(this);\n",
       "            scope.set(name, this);\n",
       "          } else { // Does another variable define this name?\n",
       "            found._duplicate = found._definition, this._duplicate = definition; // Now they’re duplicates.\n",
       "            error = new Variable(TYPE_DUPLICATE, this._module);\n",
       "            error._name = name;\n",
       "            error._definition = this._definition = found._definition = variable_duplicate(name);\n",
       "            error._outputs = found._outputs, found._outputs = new Set;\n",
       "            error._outputs.forEach(function(output) { output._inputs[output._inputs.indexOf(found)] = error; });\n",
       "            error._duplicates = new Set([this, found]);\n",
       "            runtime._dirty.add(found).add(error);\n",
       "            runtime._updates.add(found).add(error);\n",
       "            scope.set(name, error);\n",
       "          }\n",
       "        } else {\n",
       "          scope.set(name, this);\n",
       "        }\n",
       "      }\n",
       "\n",
       "      this._name = name;\n",
       "    }\n",
       "\n",
       "    // If this redefined variable was previously evaluated, invalidate it. (If the\n",
       "    // variable was never evaluated, then the invalidated value could never have\n",
       "    // been exposed and we can avoid this extra work.)\n",
       "    if (this._version > 0) ++this._version;\n",
       "\n",
       "    runtime._updates.add(this);\n",
       "    runtime._compute();\n",
       "    return this;\n",
       "  }\n",
       "\n",
       "  function variable_import(remote, name, module) {\n",
       "    if (arguments.length < 3) module = name, name = remote;\n",
       "    return variable_defineImpl.call(this, name + \"\", [module._resolve(remote + \"\")], identity);\n",
       "  }\n",
       "\n",
       "  function variable_delete() {\n",
       "    return variable_defineImpl.call(this, null, [], noop);\n",
       "  }\n",
       "\n",
       "  function variable_pending() {\n",
       "    if (this._observer.pending) this._observer.pending();\n",
       "  }\n",
       "\n",
       "  function variable_fulfilled(value) {\n",
       "    if (this._observer.fulfilled) this._observer.fulfilled(value, this._name);\n",
       "  }\n",
       "\n",
       "  function variable_rejected(error) {\n",
       "    if (this._observer.rejected) this._observer.rejected(error, this._name);\n",
       "  }\n",
       "\n",
       "  function Module(runtime, builtins = []) {\n",
       "    Object.defineProperties(this, {\n",
       "      _runtime: {value: runtime},\n",
       "      _scope: {value: new Map},\n",
       "      _builtins: {value: new Map([\n",
       "        [\"@variable\", variable_variable],\n",
       "        [\"invalidation\", variable_invalidation],\n",
       "        [\"visibility\", variable_visibility],\n",
       "        ...builtins\n",
       "      ])},\n",
       "      _source: {value: null, writable: true}\n",
       "    });\n",
       "  }\n",
       "\n",
       "  Object.defineProperties(Module.prototype, {\n",
       "    _resolve: {value: module_resolve, writable: true, configurable: true},\n",
       "    redefine: {value: module_redefine, writable: true, configurable: true},\n",
       "    define: {value: module_define, writable: true, configurable: true},\n",
       "    derive: {value: module_derive, writable: true, configurable: true},\n",
       "    import: {value: module_import, writable: true, configurable: true},\n",
       "    value: {value: module_value, writable: true, configurable: true},\n",
       "    variable: {value: module_variable, writable: true, configurable: true},\n",
       "    builtin: {value: module_builtin, writable: true, configurable: true}\n",
       "  });\n",
       "\n",
       "  function module_redefine(name) {\n",
       "    var v = this._scope.get(name);\n",
       "    if (!v) throw new RuntimeError(name + \" is not defined\");\n",
       "    if (v._type === TYPE_DUPLICATE) throw new RuntimeError(name + \" is defined more than once\");\n",
       "    return v.define.apply(v, arguments);\n",
       "  }\n",
       "\n",
       "  function module_define() {\n",
       "    var v = new Variable(TYPE_NORMAL, this);\n",
       "    return v.define.apply(v, arguments);\n",
       "  }\n",
       "\n",
       "  function module_import() {\n",
       "    var v = new Variable(TYPE_NORMAL, this);\n",
       "    return v.import.apply(v, arguments);\n",
       "  }\n",
       "\n",
       "  function module_variable(observer) {\n",
       "    return new Variable(TYPE_NORMAL, this, observer);\n",
       "  }\n",
       "\n",
       "  async function module_value(name) {\n",
       "    var v = this._scope.get(name);\n",
       "    if (!v) throw new RuntimeError(name + \" is not defined\");\n",
       "    if (v._observer === no_observer) {\n",
       "      v = this.variable(true).define([name], identity);\n",
       "      try {\n",
       "        return await module_revalue(this._runtime, v);\n",
       "      } finally {\n",
       "        v.delete();\n",
       "      }\n",
       "    } else {\n",
       "      return module_revalue(this._runtime, v);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  // If the variable is redefined before its value resolves, try again.\n",
       "  async function module_revalue(runtime, variable) {\n",
       "    await runtime._compute();\n",
       "    try {\n",
       "      return await variable._promise;\n",
       "    } catch (error) {\n",
       "      if (error === variable_stale) return module_revalue(runtime, variable);\n",
       "      throw error;\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function module_derive(injects, injectModule) {\n",
       "    const map = new Map();\n",
       "    const modules = new Set();\n",
       "    const copies = [];\n",
       "\n",
       "    // Given a module, derives an alias of that module with an initially-empty\n",
       "    // definition. The variables will be copied later in a second pass below.\n",
       "    function alias(source) {\n",
       "      let target = map.get(source);\n",
       "      if (target) return target;\n",
       "      target = new Module(source._runtime, source._builtins);\n",
       "      target._source = source;\n",
       "      map.set(source, target);\n",
       "      copies.push([target, source]);\n",
       "      modules.add(source);\n",
       "      return target;\n",
       "    }\n",
       "\n",
       "    // Inject the given variables as reverse imports into the derived module.\n",
       "    const derive = alias(this);\n",
       "    for (const inject of injects) {\n",
       "      const {alias, name} = typeof inject === \"object\" ? inject : {name: inject};\n",
       "      derive.import(name, alias == null ? name : alias, injectModule);\n",
       "    }\n",
       "\n",
       "    // Iterate over all the variables (currently) in this module. If any\n",
       "    // represents an import-with (i.e., an import of a module with a _source), the\n",
       "    // transitive import-with must be copied, too, as direct injections may affect\n",
       "    // transitive injections. Note that an import-with can only be created with\n",
       "    // module.derive and hence it’s not possible for an import-with to be added\n",
       "    // later; therefore we only need to apply this check once, now.\n",
       "    for (const module of modules) {\n",
       "      for (const [name, variable] of module._scope) {\n",
       "        if (variable._definition === identity) { // import\n",
       "          if (module === this && derive._scope.has(name)) continue; // overridden by injection\n",
       "          const importedModule = variable._inputs[0]._module;\n",
       "          if (importedModule._source) alias(importedModule);\n",
       "        }\n",
       "      }\n",
       "    }\n",
       "\n",
       "    // Finally, with the modules resolved, copy the variable definitions.\n",
       "    for (const [target, source] of copies) {\n",
       "      for (const [name, sourceVariable] of source._scope) {\n",
       "        const targetVariable = target._scope.get(name);\n",
       "        if (targetVariable && targetVariable._type !== TYPE_IMPLICIT) continue; // preserve injection\n",
       "        if (sourceVariable._definition === identity) { // import\n",
       "          const sourceInput = sourceVariable._inputs[0];\n",
       "          const sourceModule = sourceInput._module;\n",
       "          target.import(sourceInput._name, name, map.get(sourceModule) || sourceModule);\n",
       "        } else { // non-import\n",
       "          target.define(name, sourceVariable._inputs.map(variable_name), sourceVariable._definition);\n",
       "        }\n",
       "      }\n",
       "    }\n",
       "\n",
       "    return derive;\n",
       "  }\n",
       "\n",
       "  function module_resolve(name) {\n",
       "    var variable = this._scope.get(name), value;\n",
       "    if (!variable) {\n",
       "      variable = new Variable(TYPE_IMPLICIT, this);\n",
       "      if (this._builtins.has(name)) {\n",
       "        variable.define(name, constant(this._builtins.get(name)));\n",
       "      } else if (this._runtime._builtin._scope.has(name)) {\n",
       "        variable.import(name, this._runtime._builtin);\n",
       "      } else {\n",
       "        try {\n",
       "          value = this._runtime._global(name);\n",
       "        } catch (error) {\n",
       "          return variable.define(name, rethrow(error));\n",
       "        }\n",
       "        if (value === undefined) {\n",
       "          this._scope.set(variable._name = name, variable);\n",
       "        } else {\n",
       "          variable.define(name, constant(value));\n",
       "        }\n",
       "      }\n",
       "    }\n",
       "    return variable;\n",
       "  }\n",
       "\n",
       "  function module_builtin(name, value) {\n",
       "    this._builtins.set(name, value);\n",
       "  }\n",
       "\n",
       "  function variable_name(variable) {\n",
       "    return variable._name;\n",
       "  }\n",
       "\n",
       "  const frame = typeof requestAnimationFrame === \"function\" ? requestAnimationFrame\n",
       "    : typeof setImmediate === \"function\" ? setImmediate\n",
       "    : f => setTimeout(f, 0);\n",
       "\n",
       "  var variable_variable = {};\n",
       "  var variable_invalidation = {};\n",
       "  var variable_visibility = {};\n",
       "\n",
       "  function Runtime(builtins = new Library, global = window_global) {\n",
       "    var builtin = this.module();\n",
       "    Object.defineProperties(this, {\n",
       "      _dirty: {value: new Set},\n",
       "      _updates: {value: new Set},\n",
       "      _precomputes: {value: [], writable: true},\n",
       "      _computing: {value: null, writable: true},\n",
       "      _init: {value: null, writable: true},\n",
       "      _modules: {value: new Map},\n",
       "      _variables: {value: new Set},\n",
       "      _disposed: {value: false, writable: true},\n",
       "      _builtin: {value: builtin},\n",
       "      _global: {value: global}\n",
       "    });\n",
       "    if (builtins) for (var name in builtins) {\n",
       "      (new Variable(TYPE_IMPLICIT, builtin)).define(name, [], builtins[name]);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  Object.defineProperties(Runtime, {\n",
       "    load: {value: load\\$1, writable: true, configurable: true}\n",
       "  });\n",
       "\n",
       "  Object.defineProperties(Runtime.prototype, {\n",
       "    _precompute: {value: runtime_precompute, writable: true, configurable: true},\n",
       "    _compute: {value: runtime_compute, writable: true, configurable: true},\n",
       "    _computeSoon: {value: runtime_computeSoon, writable: true, configurable: true},\n",
       "    _computeNow: {value: runtime_computeNow, writable: true, configurable: true},\n",
       "    dispose: {value: runtime_dispose, writable: true, configurable: true},\n",
       "    module: {value: runtime_module, writable: true, configurable: true},\n",
       "    fileAttachments: {value: FileAttachments, writable: true, configurable: true}\n",
       "  });\n",
       "\n",
       "  function runtime_dispose() {\n",
       "    this._computing = Promise.resolve();\n",
       "    this._disposed = true;\n",
       "    this._variables.forEach(v => {\n",
       "      v._invalidate();\n",
       "      v._version = NaN;\n",
       "    });\n",
       "  }\n",
       "\n",
       "  function runtime_module(define, observer = noop) {\n",
       "    let module;\n",
       "    if (define === undefined) {\n",
       "      if (module = this._init) {\n",
       "        this._init = null;\n",
       "        return module;\n",
       "      }\n",
       "      return new Module(this);\n",
       "    }\n",
       "    module = this._modules.get(define);\n",
       "    if (module) return module;\n",
       "    this._init = module = new Module(this);\n",
       "    this._modules.set(define, module);\n",
       "    try {\n",
       "      define(this, observer);\n",
       "    } finally {\n",
       "      this._init = null;\n",
       "    }\n",
       "    return module;\n",
       "  }\n",
       "\n",
       "  function runtime_precompute(callback) {\n",
       "    this._precomputes.push(callback);\n",
       "    this._compute();\n",
       "  }\n",
       "\n",
       "  function runtime_compute() {\n",
       "    return this._computing || (this._computing = this._computeSoon());\n",
       "  }\n",
       "\n",
       "  function runtime_computeSoon() {\n",
       "    return new Promise(frame).then(() => this._disposed ? undefined : this._computeNow());\n",
       "  }\n",
       "\n",
       "  async function runtime_computeNow() {\n",
       "    var queue = [],\n",
       "        variables,\n",
       "        variable,\n",
       "        precomputes = this._precomputes;\n",
       "\n",
       "    // If there are any paused generators, resume them before computing so they\n",
       "    // can update (if synchronous) before computing downstream variables.\n",
       "    if (precomputes.length) {\n",
       "      this._precomputes = [];\n",
       "      for (const callback of precomputes) callback();\n",
       "      await runtime_defer(3);\n",
       "    }\n",
       "\n",
       "    // Compute the reachability of the transitive closure of dirty variables.\n",
       "    // Any newly-reachable variable must also be recomputed.\n",
       "    // Any no-longer-reachable variable must be terminated.\n",
       "    variables = new Set(this._dirty);\n",
       "    variables.forEach(function(variable) {\n",
       "      variable._inputs.forEach(variables.add, variables);\n",
       "      const reachable = variable_reachable(variable);\n",
       "      if (reachable > variable._reachable) {\n",
       "        this._updates.add(variable);\n",
       "      } else if (reachable < variable._reachable) {\n",
       "        variable._invalidate();\n",
       "      }\n",
       "      variable._reachable = reachable;\n",
       "    }, this);\n",
       "\n",
       "    // Compute the transitive closure of updating, reachable variables.\n",
       "    variables = new Set(this._updates);\n",
       "    variables.forEach(function(variable) {\n",
       "      if (variable._reachable) {\n",
       "        variable._indegree = 0;\n",
       "        variable._outputs.forEach(variables.add, variables);\n",
       "      } else {\n",
       "        variable._indegree = NaN;\n",
       "        variables.delete(variable);\n",
       "      }\n",
       "    });\n",
       "\n",
       "    this._computing = null;\n",
       "    this._updates.clear();\n",
       "    this._dirty.clear();\n",
       "\n",
       "    // Compute the indegree of updating variables.\n",
       "    variables.forEach(function(variable) {\n",
       "      variable._outputs.forEach(variable_increment);\n",
       "    });\n",
       "\n",
       "    do {\n",
       "      // Identify the root variables (those with no updating inputs).\n",
       "      variables.forEach(function(variable) {\n",
       "        if (variable._indegree === 0) {\n",
       "          queue.push(variable);\n",
       "        }\n",
       "      });\n",
       "\n",
       "      // Compute the variables in topological order.\n",
       "      while (variable = queue.pop()) {\n",
       "        variable_compute(variable);\n",
       "        variable._outputs.forEach(postqueue);\n",
       "        variables.delete(variable);\n",
       "      }\n",
       "\n",
       "      // Any remaining variables are circular, or depend on them.\n",
       "      variables.forEach(function(variable) {\n",
       "        if (variable_circular(variable)) {\n",
       "          variable_error(variable, new RuntimeError(\"circular definition\"));\n",
       "          variable._outputs.forEach(variable_decrement);\n",
       "          variables.delete(variable);\n",
       "        }\n",
       "      });\n",
       "    } while (variables.size);\n",
       "\n",
       "    function postqueue(variable) {\n",
       "      if (--variable._indegree === 0) {\n",
       "        queue.push(variable);\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "\n",
       "  // We want to give generators, if they’re defined synchronously, a chance to\n",
       "  // update before computing downstream variables. This creates a synchronous\n",
       "  // promise chain of the given depth that we’ll await before recomputing\n",
       "  // downstream variables.\n",
       "  function runtime_defer(depth = 0) {\n",
       "    let p = Promise.resolve();\n",
       "    for (let i = 0; i < depth; ++i) p = p.then(() => {});\n",
       "    return p;\n",
       "  }\n",
       "\n",
       "  function variable_circular(variable) {\n",
       "    const inputs = new Set(variable._inputs);\n",
       "    for (const i of inputs) {\n",
       "      if (i === variable) return true;\n",
       "      i._inputs.forEach(inputs.add, inputs);\n",
       "    }\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  function variable_increment(variable) {\n",
       "    ++variable._indegree;\n",
       "  }\n",
       "\n",
       "  function variable_decrement(variable) {\n",
       "    --variable._indegree;\n",
       "  }\n",
       "\n",
       "  function variable_value(variable) {\n",
       "    return variable._promise.catch(variable._rejector);\n",
       "  }\n",
       "\n",
       "  function variable_invalidator(variable) {\n",
       "    return new Promise(function(resolve) {\n",
       "      variable._invalidate = resolve;\n",
       "    });\n",
       "  }\n",
       "\n",
       "  function variable_intersector(invalidation, variable) {\n",
       "    let node = typeof IntersectionObserver === \"function\" && variable._observer && variable._observer._node;\n",
       "    let visible = !node, resolve = noop, reject = noop, promise, observer;\n",
       "    if (node) {\n",
       "      observer = new IntersectionObserver(([entry]) => (visible = entry.isIntersecting) && (promise = null, resolve()));\n",
       "      observer.observe(node);\n",
       "      invalidation.then(() => (observer.disconnect(), observer = null, reject()));\n",
       "    }\n",
       "    return function(value) {\n",
       "      if (visible) return Promise.resolve(value);\n",
       "      if (!observer) return Promise.reject();\n",
       "      if (!promise) promise = new Promise((y, n) => (resolve = y, reject = n));\n",
       "      return promise.then(() => value);\n",
       "    };\n",
       "  }\n",
       "\n",
       "  function variable_compute(variable) {\n",
       "    variable._invalidate();\n",
       "    variable._invalidate = noop;\n",
       "    variable._pending();\n",
       "\n",
       "    const value0 = variable._value;\n",
       "    const version = ++variable._version;\n",
       "\n",
       "    // Lazily-constructed invalidation variable; only constructed if referenced as an input.\n",
       "    let invalidation = null;\n",
       "\n",
       "    // If the variable doesn’t have any inputs, we can optimize slightly.\n",
       "    const promise = variable._promise = (variable._inputs.length\n",
       "        ? Promise.all(variable._inputs.map(variable_value)).then(define)\n",
       "        : new Promise(resolve => resolve(variable._definition.call(value0))))\n",
       "      .then(generate);\n",
       "\n",
       "    // Compute the initial value of the variable.\n",
       "    function define(inputs) {\n",
       "      if (variable._version !== version) throw variable_stale;\n",
       "\n",
       "      // Replace any reference to invalidation with the promise, lazily.\n",
       "      for (var i = 0, n = inputs.length; i < n; ++i) {\n",
       "        switch (inputs[i]) {\n",
       "          case variable_invalidation: {\n",
       "            inputs[i] = invalidation = variable_invalidator(variable);\n",
       "            break;\n",
       "          }\n",
       "          case variable_visibility: {\n",
       "            if (!invalidation) invalidation = variable_invalidator(variable);\n",
       "            inputs[i] = variable_intersector(invalidation, variable);\n",
       "            break;\n",
       "          }\n",
       "          case variable_variable: {\n",
       "            inputs[i] = variable;\n",
       "            break;\n",
       "          }\n",
       "        }\n",
       "      }\n",
       "\n",
       "      return variable._definition.apply(value0, inputs);\n",
       "    }\n",
       "\n",
       "    // If the value is a generator, then retrieve its first value, and dispose of\n",
       "    // the generator if the variable is invalidated. Note that the cell may\n",
       "    // already have been invalidated here, in which case we need to terminate the\n",
       "    // generator immediately!\n",
       "    function generate(value) {\n",
       "      if (variable._version !== version) throw variable_stale;\n",
       "      if (generatorish(value)) {\n",
       "        (invalidation || variable_invalidator(variable)).then(variable_return(value));\n",
       "        return variable_generate(variable, version, value);\n",
       "      }\n",
       "      return value;\n",
       "    }\n",
       "\n",
       "    promise.then((value) => {\n",
       "      variable._value = value;\n",
       "      variable._fulfilled(value);\n",
       "    }, (error) => {\n",
       "      if (error === variable_stale) return;\n",
       "      variable._value = undefined;\n",
       "      variable._rejected(error);\n",
       "    });\n",
       "  }\n",
       "\n",
       "  function variable_generate(variable, version, generator) {\n",
       "    const runtime = variable._module._runtime;\n",
       "    let currentValue; // so that yield resolves to the yielded value\n",
       "\n",
       "    // Retrieve the next value from the generator; if successful, invoke the\n",
       "    // specified callback. The returned promise resolves to the yielded value, or\n",
       "    // to undefined if the generator is done.\n",
       "    function compute(onfulfilled) {\n",
       "      return new Promise(resolve => resolve(generator.next(currentValue))).then(({done, value}) => {\n",
       "        return done ? undefined : Promise.resolve(value).then(onfulfilled);\n",
       "      });\n",
       "    }\n",
       "\n",
       "    // Retrieve the next value from the generator; if successful, fulfill the\n",
       "    // variable, compute downstream variables, and schedule the next value to be\n",
       "    // pulled from the generator at the start of the next animation frame. If not\n",
       "    // successful, reject the variable, compute downstream variables, and return.\n",
       "    function recompute() {\n",
       "      const promise = compute((value) => {\n",
       "        if (variable._version !== version) throw variable_stale;\n",
       "        currentValue = value;\n",
       "        postcompute(value, promise).then(() => runtime._precompute(recompute));\n",
       "        variable._fulfilled(value);\n",
       "        return value;\n",
       "      });\n",
       "      promise.catch((error) => {\n",
       "        if (error === variable_stale || variable._version !== version) return;\n",
       "        postcompute(undefined, promise);\n",
       "        variable._rejected(error);\n",
       "      });\n",
       "    }\n",
       "\n",
       "    // After the generator fulfills or rejects, set its current value, promise,\n",
       "    // and schedule any downstream variables for update.\n",
       "    function postcompute(value, promise) {\n",
       "      variable._value = value;\n",
       "      variable._promise = promise;\n",
       "      variable._outputs.forEach(runtime._updates.add, runtime._updates);\n",
       "      return runtime._compute();\n",
       "    }\n",
       "\n",
       "    // When retrieving the first value from the generator, the promise graph is\n",
       "    // already established, so we only need to queue the next pull.\n",
       "    return compute((value) => {\n",
       "      if (variable._version !== version) throw variable_stale;\n",
       "      currentValue = value;\n",
       "      runtime._precompute(recompute);\n",
       "      return value;\n",
       "    });\n",
       "  }\n",
       "\n",
       "  function variable_error(variable, error) {\n",
       "    variable._invalidate();\n",
       "    variable._invalidate = noop;\n",
       "    variable._pending();\n",
       "    ++variable._version;\n",
       "    variable._indegree = NaN;\n",
       "    (variable._promise = Promise.reject(error)).catch(noop);\n",
       "    variable._value = undefined;\n",
       "    variable._rejected(error);\n",
       "  }\n",
       "\n",
       "  function variable_return(generator) {\n",
       "    return function() {\n",
       "      generator.return();\n",
       "    };\n",
       "  }\n",
       "\n",
       "  function variable_reachable(variable) {\n",
       "    if (variable._observer !== no_observer) return true; // Directly reachable.\n",
       "    var outputs = new Set(variable._outputs);\n",
       "    for (const output of outputs) {\n",
       "      if (output._observer !== no_observer) return true;\n",
       "      output._outputs.forEach(outputs.add, outputs);\n",
       "    }\n",
       "    return false;\n",
       "  }\n",
       "\n",
       "  function window_global(name) {\n",
       "    return window[name];\n",
       "  }\n",
       "\n",
       "  const MONITOR_INTERVAL = 200;\n",
       "\n",
       "  class DocumentBodyDimensionsMutationObserverMonitor {\n",
       "    constructor() {\n",
       "      this.lastHeight = -1;\n",
       "\n",
       "      this.onMutation = entries => {\n",
       "        const height = document.body.clientHeight;\n",
       "        if (height !== this.lastHeight) {\n",
       "          this.lastHeight = height;\n",
       "          postHeight(this.lastHeight);\n",
       "        }\n",
       "      };\n",
       "    }\n",
       "\n",
       "    start() {\n",
       "      this.observer = new MutationObserver(this.onMutation);\n",
       "      this.observer.observe(document.body, {\n",
       "        childList: true,\n",
       "        attributes: true,\n",
       "        subtree: true\n",
       "      });\n",
       "    }\n",
       "  }\n",
       "\n",
       "  class DocumentBodyDimensionsResizeObserverMonitor {\n",
       "    constructor() {\n",
       "      if (typeof window.ResizeObserver === \"undefined\") {\n",
       "        throw Error(\"ResizeObserver is not supported\");\n",
       "      }\n",
       "      this.lastHeight = -1;\n",
       "\n",
       "      this.onResize = entries => {\n",
       "        for (let entry of entries) {\n",
       "          const height = entry.contentRect.height;\n",
       "          if (height !== this.lastHeight) {\n",
       "            this.lastHeight = height;\n",
       "            postHeight(this.lastHeight);\n",
       "          }\n",
       "        }\n",
       "      };\n",
       "    }\n",
       "\n",
       "    start() {\n",
       "      this.observer = new ResizeObserver(this.onResize);\n",
       "      this.observer.observe(document.body);\n",
       "    }\n",
       "  }\n",
       "\n",
       "  class DocumentBodyDimensionsPollingMonitor {\n",
       "    constructor() {\n",
       "      this.lastHeight = -1;\n",
       "      this.timer = undefined;\n",
       "\n",
       "      this.checkAndSchedule = () => {\n",
       "        if (!this.monitoring) return;\n",
       "        this.check();\n",
       "        this.monitoring = setTimeout(this.checkAndSchedule, MONITOR_INTERVAL);\n",
       "      };\n",
       "    }\n",
       "\n",
       "    start() {\n",
       "      if (!this.monitoring) {\n",
       "        this.monitoring = true;\n",
       "        this.checkAndSchedule();\n",
       "      }\n",
       "    }\n",
       "\n",
       "    stop() {\n",
       "      if (this.monitoring) {\n",
       "        clearTimeout(this.monitoring);\n",
       "      }\n",
       "      this.monitoring = undefined;\n",
       "    }\n",
       "\n",
       "    check() {\n",
       "      const height = document.body.clientHeight;\n",
       "      if (height !== this.lastHeight) {\n",
       "        this.lastHeight = height;\n",
       "        postHeight(this.lastHeight);\n",
       "      }\n",
       "    }\n",
       "  }\n",
       "\n",
       "  function postHeight(height) {\n",
       "    window.parent.postMessage(\n",
       "      {\n",
       "        type: \"iframeSize\",\n",
       "        height\n",
       "      },\n",
       "      \"*\"\n",
       "    );\n",
       "  }\n",
       "\n",
       "  const monitor = () => {\n",
       "    if (typeof window.ResizeObserver !== \"undefined\") {\n",
       "      new DocumentBodyDimensionsResizeObserverMonitor().start();\n",
       "    } else {\n",
       "      new DocumentBodyDimensionsMutationObserverMonitor().start();\n",
       "    }\n",
       "  };\n",
       "\n",
       "  const embed = async (slug, into, cells, inputs = {}) => {\n",
       "    const moduleUrl = \"https://api.observablehq.com/\" + slug + \".js?v=3\";\n",
       "    const define = (await import(moduleUrl)).default;\n",
       "    const inspect = Inspector.into(into);\n",
       "    const filter = cells ? name => cells.includes(name) : name => true;\n",
       "    const main = new Runtime().module(define, name => filter(name) ? inspect() : true);\n",
       "    for (let name of Object.keys(inputs)) {\n",
       "      main.redefine(name, inputs[name]);\n",
       "    }\n",
       "    return main;\n",
       "  };\n",
       "\n",
       "  exports.DocumentBodyDimensionsMutationObserverMonitor = DocumentBodyDimensionsMutationObserverMonitor;\n",
       "  exports.DocumentBodyDimensionsPollingMonitor = DocumentBodyDimensionsPollingMonitor;\n",
       "  exports.DocumentBodyDimensionsResizeObserverMonitor = DocumentBodyDimensionsResizeObserverMonitor;\n",
       "  exports.embed = embed;\n",
       "  exports.monitor = monitor;\n",
       "\n",
       "  return exports;\n",
       "\n",
       "}({}));\n",
       "\n",
       "CLOSESCRIPT\n",
       "<div style=\"overflow: auto;\"></div>\n",
       "<script type=\"module\">\n",
       "const inputs = {\"csvString\": \"n,obras,autor,fecha,medio,tecnica,material,alto,ancho,fuente,descripcion,periodo,region,pais,camino,id,modelo,repositorio,procedencia,atributoCarguero,accionCarguero,atributoCargado,numeroCargueros,direccionMiradaCarguero,direccionMiradaCargado,direccionCargado,generoCargado,figura/fondo,genero,soporte,otros,src\\\\n0,Indio yumbo,Vicente Alb\\\\u00e1n,1783,Pintura,\\\\u00d3leo,lienzo,80,109,\\\\\"Museo de Am\\\\u00e9rica, Madrid\\\\\",\\\\\"6 cuadros dedicados a la representaci\\\\u00f3n de tipos humanos, que respond\\\\u00edan a modelos tomados de la sociedad local. Estas figuras, vestidas y adornadas a la moda del momento en la Audiencia de Quito (actual Rep\\\\u00fablica de Ecuador), se situaban en paisajes abiertos en los que se inclu\\\\u00edan, como en este caso, diferentes elementos de la naturaleza aut\\\\u00f3ctona, especialmente \\\\u00e1rboles frutales, de cuyas ramas colgaban unos productos que tambi\\\\u00e9n eran representados abiertos y a gran tama\\\\u00f1o. Con ello se mostraban todas las caracter\\\\u00edsticas de inter\\\\u00e9s para los estudios bot\\\\u00e1nicos. El indio aqu\\\\u00ed representado figura en actitud de transportar el cargamento de frutos a alg\\\\u00fan mercado de cualquier poblaci\\\\u00f3n. A pesar de la apariencia general del ind\\\\u00edgena en el que resalta su modo peculiar de llevar la carga, la lanza en la mano y las pinturas del rostro, referidas a su condici\\\\u00f3n de no \\\\\"\\\\\"civilizado\\\\\"\\\\\", la presencia del machete indica su contacto con los n\\\\u00facleos mestizos. Estas obras est\\\\u00e1n estrechamente relacionadas con los objetivos cient\\\\u00edficos de las expediciones, que en el siglo XVIII recorrieron gran parte de Am\\\\u00e9rica, facilitando numerosa informaci\\\\u00f3n para la clasificaci\\\\u00f3n de los diferentes reinos de la Naturaleza. La serie form\\\\u00f3 parte de las colecciones del Museo de Ciencias Naturales de Madrid y desde \\\\u00e9l pas\\\\u00f3 a integrarse en la Secci\\\\u00f3n Etnogr\\\\u00e1fica del Museo Arqueol\\\\u00f3gico Nacional hasta 1941, a\\\\u00f1o en el que ingres\\\\u00f3 en el reci\\\\u00e9n creado Museo de Am\\\\u00e9rica de Madrid.\\\\\",1750 - 1810,Amazon\\\\u00eda,Per\\\\u00fa,Napo,1vplxebScqrigTquZzOHUTAnZuOvr1kNM,alban,http://ceres.mcu.es/pages/Main?idt=77&inventary=00076&table=FMUS&museum=MAM,Ecuador,lanza,,objetos,1.0,espectador,,,,equilibrio,castas,cuadro,False,1.png\\\\n1,\\\\\"Quadro de Historia Natural, Civil, y Geogr\\\\u00e1fica del Reyno del Per\\\\u00fa\\\\\",Luis Thiebaut. Comisionado por Jos\\\\u00e9 Ignacio Lecuanda,1799,Pintura,\\\\u00d3leo,lienzo,118.5,331,\\\\\"Museo Nacional de Ciencias Naturales, Madrid\\\\\",\\\\\"Es un cuadro \\\\u00fanico por su composici\\\\u00f3n y por el modo de transmitir la informaci\\\\u00f3n. Esta obra conjunta del ilustrado vasco Jos\\\\u00e9 Ignacio de Lequanda y el pintor franc\\\\u00e9s Louis Thi\\\\u00e9baut, que se prolong\\\\u00f3 a lo largo de cinco a\\\\u00f1os, es una aut\\\\u00e9ntica enciclopedia mural del Per\\\\u00fa del siglo XVIII. Un total de  195 escenas y 381 figuras describen la geograf\\\\u00eda f\\\\u00edsica, la historia, la etnograf\\\\u00eda, la fauna y la flora del Virreinato peruano. No se conoce otra obra semejante en la historia colonial europea.\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Per\\\\u00fa,Per\\\\u00fa,1ggQFv0zWOtD9spT7uaEaS74RchNzyj6r,quadro del peru,https://artsandculture.google.com/asset/quadro-de-historia-natural-civil-y-geogr%C3%A1fica-del-reyno-del-per%C3%BA-jos%C3%A9-ignacio-de-lequanda/igE86USP5Q1cYg?hl=es,Peru,baston,,objetos,1.0,abajo,,,,equilibrio,castas,cuadro,False,102.jpg\\\\n2,\\\\\"Quadro de Historia Natural, Civil, y Geogr\\\\u00e1fica del Reyno del Per\\\\u00fa. Naciones civilizadas (Detalle)\\\\\",Luis Thiebaut. Comisionado por Jos\\\\u00e9 Ignacio Lecuanda,1799,Pintura,\\\\u00d3leo,lienzo,118.5,331,\\\\\"Museo Nacional de Ciencias Naturales, Madrid\\\\\",\\\\\"Es un cuadro \\\\u00fanico por su composici\\\\u00f3n y por el modo de transmitir la informaci\\\\u00f3n. Esta obra conjunta del ilustrado vasco Jos\\\\u00e9 Ignacio de Lequanda y el pintor franc\\\\u00e9s Louis Thi\\\\u00e9baut, que se prolong\\\\u00f3 a lo largo de cinco a\\\\u00f1os, es una aut\\\\u00e9ntica enciclopedia mural del Per\\\\u00fa del siglo XVIII. Un total de  195 escenas y 381 figuras describen la geograf\\\\u00eda f\\\\u00edsica, la historia, la etnograf\\\\u00eda, la fauna y la flora del Virreinato peruano. No se conoce otra obra semejante en la historia colonial europea.\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Per\\\\u00fa,Per\\\\u00fa,1WyHNPstcs7sA4NCtiaGrGDYs0-Wgo88I,quadro del peru,https://artsandculture.google.com/asset/quadro-de-historia-natural-civil-y-geogr%C3%A1fica-del-reyno-del-per%C3%BA-jos%C3%A9-ignacio-de-lequanda/igE86USP5Q1cYg?hl=es,Peru,baston,,objetos,1.0,abajo,,,,equilibrio,castas,cuadro,True,2.png\\\\n3,Modos de cargar los indios a los que caminan por tierra de Quito a Napo,An\\\\u00f3nimo. Expedici\\\\u00f3n Malaspina,1791,Pintura,Acuarela,papel,57,42,\\\\\"Museo de Am\\\\u00e9rica, Madrid. Inv: 02218\\\\\",\\\\\"Ante un fondo de monta\\\\u00f1as nevadas un indio, desnudo, carga sobre sus espaldas probablemente a un espa\\\\u00f1ol al que sujeta con fuertes correas que rodean la frente y el pecho del ind\\\\u00edgena. Como se indica en la inscripci\\\\u00f3n que figura al pie del dibujo, lo que se representa es el \\\\\"\\\\\"modo de cargar los indios a los que caminan por tierra de Quito a Napo\\\\\"\\\\\". Realizado durante la expedici\\\\u00f3n Malaspina, que tuvo lugar entre 1789 y 1794. El comandante Alejandro Malaspina dirigi\\\\u00f3 la expedici\\\\u00f3n organizada por la corona espa\\\\u00f1ola para recorrer sus posesiones americanas, seg\\\\u00fan un plan presentado por el propio marino. El material reunido se encuentra disperso en diferentes instituciones de Espa\\\\u00f1a, Inglaterra, Argentina y Chile.\\\\\",1750 - 1810,Amazon\\\\u00eda,Per\\\\u00fa,Napo,1GI4djKde9d9T7b2AWIHtSklJz8kTdb6f,tablillo,http://ceres.mcu.es/pages/ResultSearch?Museo=MAM&txtSimpleSearch=Modo%20de%20cargar%20los%20indios%20a%20los%20que%20caminan&simpleSearch=0&hipertextSearch=1&search=simple&MuseumsSearch=MAM%7C&MuseumsRolSearch=11&listaMuseos=[Museo%20de%20Am%E9rica],Espa\\\\u00f1a,baston,,sombrero,1.0,frente,frente,adelante,masculino,figura,castas,lamina,False,3.png\\\\n4,Camino por las monta\\\\u00f1as de la provincia de Antioquia,An\\\\u00f3nimo,1800,Pintura,Dibujo,papel,NI,NI,\\\\\"Archivo General de Indias, MP-ESTAMPAS,257\\\\\",\\\\\"Dibujo que ilustra el \\\\\"\\\\\"Camino por las monta\\\\u00f1as de la provincia de Antioquia desde su entrada que es el puerto de Juntas hasta salir a donde llaman la Sexa y de hay se puede andar en bestia\\\\\"\\\\\"\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Colombia,Antioquia,1CIx4aZr3iW6rpbjDl2_Swyk9dKGwLQvs,plano,http://pares.mcu.es/ParesBusquedas20/catalogo/description/18613#,Espa\\\\u00f1a,,ascendiendo,sombrero,2.0,abajo,arriba,atras,femenino,equilibrio,vista,lamina,False,4.png\\\\n5,Modo de entrar a la provincia de Antioqu\\\\u00eda,An\\\\u00f3nimo,1802,Pintura,Dibujo,papel,NI,NI,\\\\\"Archivo General de Indias, MP-ESTAMPAS,257Bis\\\\\",\\\\\"Dibujo que representa: \\\\\"\\\\\"Modo de entrar a la provincia de Antioqu\\\\u00eda desde su puerto que nombran las Juntas, en que comienzan el camino de monta\\\\u00f1as altas y asperas hasta salir de ellas al parage nombrado la Seja, y desde all\\\\u00ed a esta capital se puede handar en bestias\\\\\"\\\\\"\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Colombia,Antioquia,1HUVIMvMxP2A_Yn6w6AO6auN9o814fCop,plano,http://pares.mcu.es/ParesBusquedas20/catalogo/show/18614,Espa\\\\u00f1a,,ascendiendo,sombrero,2.0,abajo,arriba,atras,femenino,equilibrio,vista,lamina,False,5.png\\\\n6,Passage du Quindiu dans le Cordill\\\\u00e8re des Andes,Alexander von Humboldt. Christian Friedrich Duttenhofer (Grab.). Joseph Anton Koch (Dibj.),1810,Grabado,Grabado,papel,NI,NI,\\\\\"Vues des Cordill\\\\u00e8res, et Monuments des Peuples indig\\\\u00e8nes de l\\\\u2019Am\\\\u00e9rique, (Par\\\\u00eds: Schoell, 1810)\\\\\",\\\\\"la l\\\\u00e1mina V de Vues acerca del paso del Quind\\\\u00edo ha sido utilizada en numerosas ocasiones como ejemplo de las concepciones de Humboldt acerca de las relaciones entre el arte y la ciencia con relaci\\\\u00f3n a la posibilidad de presentar sensiblemente la naturaleza vertical americana. El lazo de complementariedad entre las im\\\\u00e1genes tambi\\\\u00e9n se fundamenta en la importancia que tuvo la vegetaci\\\\u00f3n del Quind\\\\u00edo para la formulaci\\\\u00f3n de la Geograf\\\\u00eda de las plantas. Algo que es reafirmado por el viaje que Caldas nunca pudo realizar a los Andes del Quind\\\\u00edo para complementar las observaciones de Humboldt, que nos permite imaginarnos una imagen sobre este paisaje que no pudo ser hecha. Oliver Lubrich se refiere a la l\\\\u00e1mina V de Vues como un dibujo de perspectiva m\\\\u00faltiple dise\\\\u00f1ado desde las posiciones de diferentes disciplinas, y abierta a diversas lecturas. La imagen puede ofrecer gozo est\\\\u00e9tico, a la vez que informaciones relevantes a bot\\\\u00e1nicos, ge\\\\u00f3logos, mineralogistas y meteor\\\\u00f3logos. Esto porque se ven all\\\\u00ed plantas, paisajes, formaciones de nubes, perfiles geol\\\\u00f3gicos, poblados, un valle interandino, la cordillera oriental, m\\\\u00faltiples se\\\\u00f1as que dan cuenta del clima, la vegetaci\\\\u00f3n, la ubicaci\\\\u00f3n y las actividades sociales y productivas que se llevan a cabo con las plantas y los recursos naturales en general. Adem\\\\u00e1s, cuenta una historia de car\\\\u00e1cter sociol\\\\u00f3gico y \\\\u201cpol\\\\u00edticamente explosiva\\\\u201d relacionada con los cargueros que conforman la fila de viajeros y que escenifican una serie de oposiciones y complejidades propias del monta\\\\u00f1oso mundo Andino, de la sociedad colonial y de una sociedad global en proceso de transformaci\\\\u00f3n. All\\\\u00ed vemos un carguero que mira fijamente al espectador mientras camina con su silla vac\\\\u00eda, probablemente aquella que debi\\\\u00f3 ocupar Humboldt, quien rehus\\\\u00f3 usar el servicio. En este sentido, podr\\\\u00eda decirse que la imagen es \\\\u201ccuadro o escena de naturaleza\\\\u201d que presenta una organizaci\\\\u00f3n cuidadosa del paisaje de manera que variados fen\\\\u00f3menos naturales y culturales interact\\\\u00faen y den cuenta de un funcionamiento org\\\\u00e1nico. Sin embargo, la imagen no puede ser le\\\\u00edda sin tener en cuenta sus relaciones y tensiones con el texto escrito que la describe que se encuentra en Vues\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1NNp3i4GN_-85Ur9FySNg6IzAcG6jEkU4,humboldt,https://library.si.edu/digital-library/book/vuesdescordille2humb,Alemania,bijao,caminando,libro,5.0,espectador,frente,atras,masculino,equilibrio,vista,libro,False,6.png\\\\n7,Passage of Quindiu in the andes,Alexander Von Humboldt - George Cooke(Grab).,1810,Grabado,Grabado en aluminio,papel,33,40,\\\\\"Colecci\\\\u00f3n de arte del Banco de la Rep\\\\u00fablica, AP3692\\\\\",Copia de la l\\\\u00e1mina V de Vues hecha en Inglaterra. El grabado fue coloreado con acuarela.,1750 - 1810,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1wkerIwIC6HgVjMMwxZYCgkIPE_Fl9dxh,humboldt,https://www.banrepcultural.org/coleccion-de-arte/obra/passage-quindiu-andes-paso-del-quindio-en-los-andes-ap3692,Inglaterra,baston,caminando,libro,5.0,espectador,frente,atras,masculino,equilibrio,vista,lamina,False,89.jpg\\\\n8,\\\\\"Passage du Quindiu dans la Cordill\\\\u00e8re des Andes, pres d'Ibague (Lat. 4\\\\u00b036'. Long. 5\\\\u00b012) / [Kopie nach Alexander von Humboldt]\\\\\",Hans Konrad Escher von der Linth,1823,Pintura,Acuarela,papel,18.3,40,E-Manuscripta. Digital platform for manuscript material from Swiss libraries and archives,\\\\\"Copia de la l\\\\u00e1mina V de Vues, hecha en acuarela y tinta por el suizo Hans Konrad Escher von der Linth. Excluye a los cargueros del paisaje.\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1ZX8d-NCw4gF_hd8duw14YMvpbsJWl-5K,humboldt,https://doi.org/10.7891/e-manuscripta-50190,Suiza,,,,,,,,,fondo,vista,lamina,False,90.jpg\\\\n9,\\\\\"The entrance of the mountain near Ibague. In the fore-ground, a band of cargueros are coming up\\\\\",\\\\\"Alexander von Humboldt, Josiah Conder, H Adlard (Grab)\\\\\",1825,Grabado,Grabado en acero,papel,NI,NI,\\\\\"Conder, Josiah. 1825. The Modern Traveller. A Popular Description, Geographical, Historical, and Topographical, of the Various Countries of the Globe. Colombia. London\\\\u202f: Printed for James Duncan\\\\u202f; Edinburgh\\\\u202f: Oliver and Boyd\\\\u202f; Glasgow\\\\u202f: M. Ogle\\\\u202f; Dublin\\\\u202f: R.M. Tims. http://archive.org/details/colombia00cond.\\\\\",\\\\\"Es una copia de la l\\\\u00e1mina V de Vues de Humboldt. Se encuentra en el tomo sobre Colombia de The Modern Traveller, el viaje de gabinete de Josiah Conder, una compilaci\\\\u00f3n de 30 vol\\\\u00famenes aceeca la geograf\\\\u00eda de muchos pa\\\\u00edses del mundo. En la obra se citan como fuente del relato a Alexander von Humboldt, Gaspar Mollien, Charles Stuart Cochrane, entre otros. Sobre el grabado se puede leer el siguiente comentario: \\\\\"\\\\\"La placa anexa, copiada del Atlas Pintoresco del erudito Autor, representa la entrada de la monta\\\\u00f1a cerca de Ibagu\\\\u00e9. En primer plano se acerca una banda de cargueros. Al fondo se ven una parte del pueblo de Ibagu\\\\u00e9, el gran valle del Magdalena y la cadena oriental de las cordilleras; y el cono truncado de Colima, cubierto de nieves perpetuas, aparece sobre la masa de rocas gran\\\\u00edticas. El peque\\\\u00f1o r\\\\u00edo, que se abre paso a trav\\\\u00e9s de una espesura de palmeras, es el Combeima\\\\\"\\\\\" (346-347)\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1ivZfT6v1CDSX6nwP21SG_ehMCa99bZbY,humboldt,https://archive.org/details/colombia00cond/page/344/mode/2up?view=theater,Inglaterra,bijao,caminando,libro,5.0,espectador,frente,atras,masculino,equilibrio,vista,libro,False,103.jpg\\\\n10,America. L'America rappresentata sotto figura allegorica,Giulio Ferrario,1826,Grabado,Grabado,papel,NI,NI,\\\\\"Il costume antico e moderno, o, storia del governo, della milizia, della religione, delle arti, scienze ed usanze di tutti i popoli antichi e moderni, provata coi monumenti dell'antichit\\\\u00e0 e rappresentata cogli analoghi disegni dal dottor Giulio Ferrario : America. Vol. 1.\\\\\",Alegor\\\\u00eda de Am\\\\u00e9rica que usa el fondo de la l\\\\u00e1mina V de Vues para su composici\\\\u00f3n.  Se encuentra en el libro de trajes de Giulio Ferrairo. Se trata de un tema que se remonta a la Iconolog\\\\u00eda de Cesare Ripa. La mujer que personifica a Am\\\\u00e9rica est\\\\u00e1 en pose melanc\\\\u00f3lica.,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1w7XEiCeMxgHZbtuMfTiT8-NmWZXvLT6Y,humboldt,https://archive.org/details/ilcostumeantic1to2ferr/page/n81/mode/1up?ref=ol,Italia,,,,,,,,,equilibrio,alegoria,libro,False,88.jpg\\\\n11,Campamento camino del Quindio,Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1824,Pintura,Dibujo,papel,NI,NI,\\\\\"Marguerite Combes, Pauvre et aventureuse. Bourgeoisie. Roulin et ses amis (1796-1874), (Paris: Peyronnet, 1929)\\\\\",\\\\\"El boceto del campamento en el camino del Quind\\\\u00edo se encuentra reproducido en la biograf\\\\u00eda de Francois Desire Roulin publicada por Marguerite Combes en 1929. La bi\\\\u00f3grafa reprodujo varios bocetos de Roulin en su texto sobre el franc\\\\u00e9s. Estos dibujos, seg\\\\u00fan Antei, se deben encontrar aun en alguna colecci\\\\u00f3n privada. Ninguno de estos se encuentra en la colecci\\\\u00f3n de acuarelas donada en 2003. El dibujo muestra un campamento en el camino del Quind\\\\u00edo en el que se puede apreciar un carguero en el centro de la composici\\\\u00f3n. Seg\\\\u00fan refiere Combes, el sujeto con un paraguas abierto que est\\\\u00e1 siendo cargado es un notario que acompa\\\\u00f1aba a Roulin y Boussigault a la misi\\\\u00f3n de inspeccionar y levantar el plano de las minas de La Vega de Sup\\\\u00eda. Combes equivocadamente afirma que el sujeto que se puede ver en la parte inferior derecha es Boussingault. Esto no es posible porque este \\\\u00faltimo hab\\\\u00eda recibido la orden de tomar la ruta por el P\\\\u00e1ramo de Herveo para explorar la posibilidad de hacer llegar a la Vega Sup\\\\u00eda, por este paso, un material que enviado desde Inglaterra con un grupo de mineros de Cornualles. Roulin hace una referencia directa a este dibujo en un pie de p\\\\u00e1gina en un art\\\\u00edculo sobre el Tapir de su recopilaci\\\\u00f3n de trabajos cient\\\\u00edficos llamado Histoire naturelle et souvenirs de voyage de 1865. Este pie de p\\\\u00e1gina no se encuentra en el texto original publicado en los Annales des Sciences Naturelles en 1829 para reportar su descubrimiento de una nueva especie de Tapir en los andes de la Nueva Granada (Tapirus Pinchaque, Tapir andino o Danta de monta\\\\u00f1a).  La informaci\\\\u00f3n que le dieron los cargueros cuando estaba pasando por el camino del Quind\\\\u00edo fue \\\\u00fatil para establecer la existencia de una especie de Tapir que habita las tierras altas andinas. Esta informaci\\\\u00f3n fue luego corroborada en el p\\\\u00e1ramo del Sumapaz en donde unos cazadores dieron caza a dos tapires andinos que sirvieron a Roulin para describir y dibujar el animal. En el pie de p\\\\u00e1gina Roulin aclara que se refiere por \\\\u201ccargueros\\\\u201d  a los portadores que durante el buen tiempo (belle saison) llevan a sus espaldas una parte de las mercanc\\\\u00edas de Ibagu\\\\u00e9 a Cartago, y durante el tiempo de lluvias (saison des pluies) llevan los viajeros y las mercanc\\\\u00edas, dado que el camino se hace impracticable para las mulas. As\\\\u00ed mismo, afirma que en el Magasin Pittoresque de 1848, en la p\\\\u00e1gina 233, se puede encontrar figurado \\\\u201cun viajero del Quind\\\\u00edo y su montura humana (un voyageurdu Quindi\\\\u00f9 et sa monture humaine)\\\\u201d.  Y, que el grabado referido est\\\\u00e1 tomado del dibujo de un campamento del Quind\\\\u00edo que \\\\u00e9l mismo hab\\\\u00eda hecho para Humboldt. Francois Desire Roulin, \\\\u201cM\\\\u00e9moire pour servir \\\\u00e0 l'Histoire du Tapir; et Description d'une esp\\\\u00e8ce nouvelle appartenant aux hautes r\\\\u00e9gions de la Cordili\\\\u00e8re des Andes\\\\u201d, Annales Des Sciences Naturelles, 18, 1829: 26-56; Fran\\\\u00e7ois Desir\\\\u00e9 Roulin, \\\\u201cLe tapir. D\\\\u00e9couverte D'une Esp\\\\u00e8ce Nouvelle Et Histoire de L'ancienne Esp\\\\u00e8ce\\\\u201d, Histoire naturelle et souvenirs de voyage (Paris: J. Herzel Libraire Editeur, 1965): 261-309;\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1AsU9pZJ0E7izMcH9nGeXXDqYsF1LMcul,roulin,https://descubridor.banrepcultural.org/permalink/57BDLRDC_INST/qk5q4l/alma991008927709707486,Francia,baston,recibiendo,sombrilla,2.0,frente,frente,atras,masculino,figura,tipos humanos,manuscrito,False,8.png\\\\n12,Peoner i andisca bergen,August Gosselman. C. G. Plagemann[Dib.]. Gjothstrom Magnusson[Grab.],1827,Grabado,Litograf\\\\u00eda,papel,15.2,10.3,\\\\\"Karl August Gosselman, Resa i Colombia, \\\\u00e5ren 1825 och 1826 (Estocolmo: Tryckt hos Joahn Horberg, 1827)\\\\\",\\\\\"La l\\\\u00e1mina hace referencia al momento de dif\\\\u00edcil ascenso en el que Gosselman decide montarse en su sillero para soportar el trayecto. El sueco afirma que la poca costumbre de caminar min\\\\u00f3 su resistencia, ya debilitada por aquella larga traves\\\\u00eda en canoa por el rio Magdalena. As\\\\u00ed confiesa que al no poder subir tan r\\\\u00e1pido como las circunstancias lo exig\\\\u00edan, muy a su pesar, tuvo que aceptar el llamado de su pe\\\\u00f3n, quien le dec\\\\u00eda: \\\\\"\\\\\"Monte ahora, se\\\\u00f1or, su merced no ir\\\\u00e1 a pagarme por nada\\\\\"\\\\\". Gosselman finalmente acepta, lament\\\\u00e1ndose de manera que mantiene una argumentaci\\\\u00f3n relacionada con la consideraci\\\\u00f3n de las personas como un fin en s\\\\u00ed mismas, y la penosa circunstancia de tener que instrumentalizar a otro ser humano: \\\\u201cFinalmente deb\\\\u00ed aceptar. Lamentando que dos personas, cada una con sus propios medios, fueran m\\\\u00e1s lentas para avanzar que una de ellas haciendo el trabajo de las dos\\\\u201d. La imagen sigue una estructura semejante al carguero de Hamilton en el sentido de que muestra una fila que intercala dos cargueros de cosas y uno de hombres. El viajero sueco habla de una peque\\\\u00f1a bolsa con un pan de ma\\\\u00edz seco, un trozo de queso, otro de panela y algunas bolitas de chocolate constituyen habitualmente la provisi\\\\u00f3n para el viaje. Todo lo envuelven en un pa\\\\u00f1uelo que se amarran en la cabeza. En la banda que sostiene la cabeza del carguero en la imagen se puede ver la peque\\\\u00f1a bolsa ilustrada (ver detalle). Otro motivo que debe destacarse de la l\\\\u00e1mina es el de los brazos cruzados del sillero, solo hay otro par de im\\\\u00e1genes que se parecen en este sentido, la l\\\\u00e1mina Viajero llevado sobre la espalda del indio en las monta\\\\u00f1as de la provincia de Antioquia de Auguste Le Moyne, quien, por cierto, no estuvo en Antioquia.  Asimismo, el boceto de un Carguero que hace parte de la colecci\\\\u00f3n de Joseph Brown (ver detalles). A prop\\\\u00f3sito de la relaci\\\\u00f3n con estas im\\\\u00e1genes tambi\\\\u00e9n vale la pena resaltar el sombrero puntudo que tiene el cargado, que se encuentra fumando y volteando su cara para mirar al espectador que es semejante al sobrero que en las im\\\\u00e1genes de Le Moyne y Brown tiene el carguero. As\\\\u00ed, los elementos de esta imagen como la fila de cargueros subiendo por la monta\\\\u00f1a, las manos cruzadas del carguero, la bolsita que tiene en la banda de la cabeza, el viajero cargado mirando al espectador y fumando puro, y el \\\\u00e1ngulo cerrado lleno de vegetaci\\\\u00f3n que ofrece el ambiente de la imagen, son innovaciones que no est\\\\u00e1n en ninguna imagen previa. Teniendo en cuenta que la imagen le da cr\\\\u00e9dito a C. G. Plagemann en el dibujo y a Gjothstrom Magnusson en el grabado, se puede conjeturar que la imagen fue realizada en Suecia, a partir de la serie de escenas del relato referido, as\\\\u00ed como a descripciones e indicaciones hechas por Gosselman. Se configura en este caso una \\\\u00e9cfrasis inversa, en la que las descripciones que son figuradas como cuadros, pinturas y mapas, son convertidas en una imagen, que, a su vez, servir\\\\u00e1 posteriormente para que los lectores y espectadores experimenten el viaje. De la misma manera, la imagen parece haber servido de modelo a otros viajeros figurar las experiencias de su propio viaje. \\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Antioquia,1OODQ2rh0NI_GWTLroP1u_UsByLRPXYvw,gosselman,https://babel.banrepcultural.org/digital/collection/p17054coll18/id/450/,Suecia,brazos curzados,ascendiendo,cigarro,3.0,abajo,espectador,atras,masculino,figura,tipos humanos,libro,False,9.jpg\\\\n13,Precipitous descent of a cordillera of the Andes in the province of Choc\\\\u00f3,Charles Stuart Cochrane,1825,Grabado,Grabado,papel,17.2,10.8,\\\\\"Charles Stuart Cochrane, Journal of a Residence and Travels in Colombia, During the Years 1823 and 1824 (In Two volumes), (Londres: Henry Colburn, 1825)\\\\\",\\\\\"La imagen se refiere al paso de Cochrane desde Cartago hasta N\\\\u00f3vita en la provincia del Choc\\\\u00f3. Durante el paso del Quind\\\\u00edo se hab\\\\u00eda negado a usarlos siguiendo el ejemplo de Humboldt. Pero camino a choc\\\\u00f3 ya no pudo soportar las condiciones del terreno que le hab\\\\u00edan lastimado mucho sus pies. La imagen representa una escena descrita por Cochrane en la que sufri\\\\u00f3 un gran traumatismo en el momento en que su carguero se gir\\\\u00f3 repentinamente para descender por un precipicio escalando entre piedras y ramas. La imagen debe interpretarse como una suerte de secuencia, en la que se muestra el descenso traum\\\\u00e1tico, y despu\\\\u00e9s un momento de descanso divisando el paisaje. (Cochrane, p. 409-410)\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Choc\\\\u00f3,1cE5L6QazjyMg9bEfixr4W7IP1nxqYLUN,cochrane,https://archive.org/details/journalaresiden00unkngoog/page/n8/mode/2up,Inglaterra,baston,descansando,se\\\\u00f1alando,3.0,frente,atras,atras,masculino,equilibrio,vista,libro,False,10.png\\\\n14,View of the pass from Quindio. In the province of Popayan & cargueros (or carriers) who travel it,John Potter Hamilton [Atribuido]. Eduard Francis Finden [grab],1827,Grabado,Aguafuerte,papel,NI,NI,\\\\\"John Potter Hamilton, Travels through the interior provinces of Columbia (Londres: John Murray, 1827)\\\\\",\\\\\"Esta l\\\\u00e1mina podr\\\\u00eda estar, seg\\\\u00fan Antei (1995, p. 111-112), basada en el boceto de Roulin. Argumenta, la posici\\\\u00f3n del carguero, el sombrero de copa, la sombrilla, el cambio de orientaci\\\\u00f3n en el tallado para el grabado, y muestra que efectivamente Hamilton y Roulin se conocieron en Bogot\\\\u00e1. Esto apoya la tesis de de Josefina de la Maza, Carolina Vanegas, Ricardo Rey y Catalina Vald\\\\u00e9s acerca de la posibilidad de que Roulin tuviese un \\\\u00c1lbun de l\\\\u00e1minas que pon\\\\u00eda al servicio de los viajeros. Adem\\\\u00e1s, sirve de modelo a una vista an\\\\u00f3nima probablemente basada \\\\u201cen originales de Gaetano Osculati\\\\u201d (Antei 1995, p. 61).\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1GGvrXLnvP6pZnUO3LT3k3iAphMLjKXVe,roulin,https://archive.org/details/travelsthroughin02hami/page/210/mode/2up,Inglaterra,baston,ascendiendo,sombrilla,2.0,abajo,frente,atras,masculino,figura,vista,libro,False,11.png\\\\n15,[Carguero],An\\\\u00f3nimo,1830,Grabado,Grabado,papel,NI,NI,\\\\\"Museo Nacional de Colombia, Antei, Giorgio. Gu\\\\u00eda de forasteros\\\\u202f: viajes ilustrados por Colombia, 1817-1857 / Giorgio Antei. Bogot\\\\u00e1: Seguros Bol\\\\u00edvar, 1995.\\\\\",\\\\\"Vista an\\\\u00f3nima probablemente basada \\\\u201cen originales de Gaetano Osculati\\\\u201d (Antei 1995, p. 61). Semejanza con la l\\\\u00e1mina del relato de Hamilton. Antei no precisa a cu\\\\u00e1l original. Cita el relato de Osculati, pero all\\\\u00ed no se encuentra la imagen original. (por lo menos en la edici\\\\u00f3n revisada).\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1iJH2jBdemYsIWUq_otobFWY-Su6wfAkt,roulin,https://www.worldcat.org/es/title/guia-de-forasteros-viajes-ilustrados-por-colombia-1817-1857/oclc/34881687?referer=di&ht=edition,Italia,baston,ascendiendo,sombrero,2.0,abajo,frente,atras,masculino,figura,tipos humanos,lamina,False,12.png\\\\n16,[Carguero],Auguste Le Moyne [Atribuido],1828,Pintura,Acuarela,papel,22,18,\\\\\"Beatriz Gonz\\\\u00e1lez, Donaci\\\\u00f3n Carlos Botero-Nora Restrepo: Auguste Le Moyne en Colombia 1828-1841, (Bogot\\\\u00e1: Museo Nacional de Colombia, 2004)\\\\\",\\\\\"Es una imagen bastante singular, no hay otra que se le asemeje. El carguero se encuentra vestido. La sila de lujo que lleva es una posible alusi\\\\u00f3n a uno de los relatos que proliferan en las descripciones de los cargueros acerca de que hab\\\\u00edan personas que ten\\\\u00edan su propia silla y sus propios cargueros ya que viajaban con mucha frecuencia.  En este sentido se parece a la imagen de Waldeck en el camino de Chiapas en M\\\\u00e9xico. A su vez, sirvi\\\\u00f3 de modelo a la l\\\\u00e1mina que aparece en el libro de Margarita Serje en El Rev\\\\u00e9s de la Naci\\\\u00f3n. \\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1e5BXYsAFAPdm4e3BZhWs_-edp2M5iRUf,le moyne,https://www.worldcat.org/es/title/55644826,Francia,vestido,caminando,silla de lujo,1.0,abajo,frente,atras,masculino,figura,tipos humanos,lamina,False,13.png\\\\n17,\\\\\"The artist carried in a sillero over the Chiapas from Palenque to Ocosingo, Mexico\\\\\",Baron Jean\\\\u2013Fr\\\\u00e9d\\\\u00e9rik Waldeck,1833,Pintura,\\\\u00d3leo,lienzo,49.3,41.5,Princeton University Art Museum,\\\\\"La imagen fue hecha en el contexto de viajes a las ruinas Maya de Palenque. Estas ruinas fueron descubiertas a principios del siglo XVIII en la selva chipnaeca, en las inmediaciones del poblado San Domingo de Palenque, en el sureste de lo que hoy se conoce como M\\\\u00e9xico. Waldeck fue uno de los que particip\\\\u00f3 por ganarse el premio que en 1825 la Soci\\\\u00e9t\\\\u00e9 de G\\\\u00e9ographie ofreci\\\\u00f3 para estimular el estudio de las ruinas, al enterarse de la existencia de estas a trav\\\\u00e9s de una traducci\\\\u00f3n inglesa en la que se compil\\\\u00f3 el informe de Antonio del R\\\\u00edo y el plagio que Paul F\\\\u00e9lix Cabrera hizo de un documento in\\\\u00e9dito de Ram\\\\u00f3n Ordo\\\\u00f1ez y Aguilar (El premio se declar\\\\u00f3 desierto). Waldeck era un aventurero y cirquero exc\\\\u00e9ntrico que estuvo en la zona de Palenque en 1832. Aunque concurs\\\\u00f3 por el premio de la Soci\\\\u00e9t\\\\u00e9 de G\\\\u00e9ographie, prefer\\\\u00eda mostrar sus resultados en una especie de circo ambulante que recorrer\\\\u00eda Inglaterra y Francia (D\\\\u00edaz, 2009, p. 118). Usando un t\\\\u00f3pico com\\\\u00fan en la \\\\u00e9poca, explica la existencia de las ruinas en el nuevo mundo a trav\\\\u00e9s de migraciones, datadas 10.000 a\\\\u00f1os A.C, procedentes de Asia, \\\\u00c1frica o Europa. El inter\\\\u00e9s de este personaje no est\\\\u00e1 relacionado con la precisi\\\\u00f3n hist\\\\u00f3rica o arqueol\\\\u00f3gica de sus descripciones, sino su car\\\\u00e1cter de artista viajero (Diener 2017, 900-902). No es claro para m\\\\u00ed hasta el momento en que contexto fue realizada la obra del sillero ni con qu\\\\u00e9 prop\\\\u00f3sito espec\\\\u00edfico. Nunca se ha expuesto en M\\\\u00e9xico, y se encuentra en una colecci\\\\u00f3n privada en los Estados Unidos. Es la \\\\u00fanica obra sobre silleros en \\\\u00f3leo sobre lienzo hecha en la \\\\u00e9poca, lo que obliga a interpretarla de un modo diferente a las dem\\\\u00e1s. La composici\\\\u00f3n es interesante. Podemos presumir que es un autorretrato, aunque solo se ve su pierna y su mano. M\\\\u00e1s adelante en el camino, hacia la parte superior derecha se distingue un carguero cargando sus lienzos. Tiene elementos semejantes a los de los cargueros colombianos, aunque dispuestos de modo diferente y con pretensiones art\\\\u00edsticas evidentes. La silla es diferente, m\\\\u00e1s elegante, y puede observarse el sombrero de Waldeck colgando de ella. El indio est\\\\u00e1 semidesnudo y descalzo y la escena no se preocupa tanto de la fisionom\\\\u00eda del paisaje. El comentario que hace sobre el viaje en silla en su \\\\u00fanica obra publicada, aparece en un pie de p\\\\u00e1gina en el que hace una digresi\\\\u00f3n mientras da concejos acerca del modo de viajar por la pen\\\\u00ednsula de Yucat\\\\u00e1n. En este punto remite a otra obra en la que afirma ya haber expresado la mejor manera de hacerlo. Esto muestra que el viajero no solo us\\\\u00f3 la silla, sino que maximiz\\\\u00f3 su experiencia y la reacondicion\\\\u00f3 de acuerdo con sus necesidades. \\\\u201cOn se rappelle que j'ai indiqu\\\\u00e9 les moyens de rendre ces meubles le plus commodes et le plus doux possible, et de les disposer de telle sorte qu'ils puissent contenir les provisions, armes et instruments d'observation n\\\\u00e9cessaires dans une excursion scientifique\\\\u201d Waldeck, Jean-Fr\\\\u00e9d\\\\u00e9ric. (1938). Voyage pittoresque et arche\\\\u0301ologique dans la province d'Yucatan (Ame\\\\u0301rique Centrale), pendant les anne\\\\u0301es 1834 et 1836. Paris: Bellizard Dufour et C\\\\u00ba, \\\\u00c9diteurs,  p. 34\\\\\",1819 - 1850,Monta\\\\u00f1as de Mesoamerica,M\\\\u00e9xico,Chiapas,1CUSzP67cPwMPk-h4F_8XL_7QZnn9Oc_N,mexico,https://artmuseum.princeton.edu/collections/objects/104451,Republica Checa,baston,ascendiendo,silla de lujo,1.0,abajo,frente,atras,masculino,figura,tipos humanos,cuadro,False,14.png\\\\n18,Viajero llevado sobre la espalda del indio en las monta\\\\u00f1as de la provincia de Antioquia,Auguste Le Moyne [Atribuido],1835,Pintura,Acuarela,papel,26.3,17.8,\\\\\"Beatriz Gonz\\\\u00e1lez, Donaci\\\\u00f3n Carlos Botero-Nora Restrepo: Auguste Le Moyne en Colombia 1828-1841, (Bogot\\\\u00e1: Museo Nacional de Colombia, 2004)\\\\\",Tiene la misma pose de las manos cruzadas del carguero de Gosselman. La composici'on se asemeja al boceto sin t\\\\u00edtulo de la coleccion de Joseph Brown,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Antioquia,1pv_0F7dJBgj8w5V4-cpgws7FBc4mlH59,gosselman,https://www.worldcat.org/es/title/55644826,Francia,brazos curzados,ascendiendo,sombrilla,1.0,atras,frente,atras,masculino,figura,tipos humanos,lamina,False,15.png\\\\n19,[Carguero],Joseph Brown [Atribuido],1835,Pintura,Dibujo,papel,33.6,24,Colecci\\\\u00f3n de pinturas de Joseph Brown. Royal geographical society of London,Tiene la misma pose con las manos cruzadas del carguero de Gosselman. La composicion se asemeja al boceto sin t\\\\u00edtulo de la coleccion de August Le Moyne,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1DhX4Zv-0OXi5WqBHOl53oNr1lVHkxAB5,gosselman,https://worldcat.org/es/title/22382447,Inglaterra,brazos curzados,ascendiendo,sombrilla,1.0,frente,frente,atras,masculino,figura,tipos humanos,lamina,False,16.jpg\\\\n20,Men Carriers,The Saturday Magazine,1839,Grabado,Grabado en madera,papel,NI,NI,\\\\\"Glances at the Modes of Traveling in Foreign Lands, The Saturday Magazine 449 (1839): 250-256\\\\\",\\\\\"En Inglaterra, en 1839, apareci\\\\u00f3 una alusi\\\\u00f3n a la met\\\\u00e1fora que comparaba al carguero con un animal de carga -en referencia a la an\\\\u00e9cdota de Humboldt- en un art\\\\u00edculo de The Saturday Magazine donde se discut\\\\u00eda sobre los tipos de carruajes usados en diversos lugares del mundo y la fuerza motriz que los mov\\\\u00eda. All\\\\u00ed, el horizonte de expectativa se proyecta hacia un escenario en el que estas fuerzas podr\\\\u00e1n ser de otra naturaleza y reemplazar las de los animales y los hombres. El Saturday Magazine era la revista que compet\\\\u00eda con The Penny Magazine. Estas revistas fueron pioneras en el uso de un modelo de impresi\\\\u00f3n que El modelo consist\\\\u00eda en un formato de publicaci\\\\u00f3n, unas aplicaciones tecnol\\\\u00f3gicas del uso de la xilograf\\\\u00eda y el prototipado, un proceso de racionalizaci\\\\u00f3n de la producci\\\\u00f3n de impresos, un modelo de negocio y un ideal acerca de la correlaci\\\\u00f3n que hay entre la expansi\\\\u00f3n del mercado de lectores y la posibilidad de llevar el acceso al conocimiento '\\\\u00fatil' hasta las clases populares. Ver 'The Commercial History of a Penny Magazine', The Penny Magazine 1 (1833): 377 (suplemento). \\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1MTFwK5SYk957X48f-p45AaCOuVzSY8vj,humboldt,https://archive.org/details/sim_saturday-magazine_1839-06_14_449/page/n3/mode/2up,Inglaterra,baston,caminando,libro,2.0,frente,frente,atras,femenino,figura,opinion,prensa,False,17.png\\\\n21,Costumes / Colombie,An\\\\u00f3nimo,1837,Grabado,Aguafuerte,papel,NI,NI,\\\\\"L'Univers. Histoire et Description de tous les Peuples. Bresil par Ferdinand Denis & Colombie et Guyanes par Cesar Famin (Paris: Firmin Didot Fr\\\\u00e8res \\\\u00c9diteurs, 1837)\\\\\",\\\\\"Las l\\\\u00e1minas que sirvieron de modelo a la composici\\\\u00f3n fueron identificadas por Beatriz Gonz\\\\u00e1lez y Carolina Vanegas, 2017. Esta \\\\u00faltima afirma que la figura del carguero est\\\\u00e1 basada en la l\\\\u00e1mina de Hamilton\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,16S6Ff98wTViWO7DZvlLRUkrn1EkrBILp,roulin,https://archive.org/details/lunivershistoir64unkngoog/page/n600/mode/2up?view=theater,Francia,baston,ascendiendo,sombrilla,1.0,abajo,frente,atras,masculino,figura,tipos humanos,libro,False,18.png\\\\n22,Le passage du Quindiu entre Ibague y Cartago,\\\\\"Alcide d'Orbigny, Francois Desire Roulin (Dibj.)\\\\\",1836,Grabado,Grabado en talla dulce sobre acero,papel,NI,NI,\\\\\"Alcide D\\\\u2019Orbigny, Voyage pittoresque dans les deux Am\\\\u00e9riques (Chez L. Tenr\\\\u00e9, Libraire-\\\\u00e9diteur)\\\\\",\\\\\"El dibujo de Roulin del campamento en el camino de Quind\\\\u00edo fue modificado y convertido en grabado en el libro de viajes de Alcide d\\\\u2019Orbigny Voyage Pittoresque dans les deux Am\\\\u00e9riques, un popular libro contribuy\\\\u00f3 de manera significativa a la difusi\\\\u00f3n del conocimiento de la Nueva Granada. D\\\\u2019Orbigny, un especialista en moluscos, pertenec\\\\u00eda al mismo c\\\\u00edrculo cient\\\\u00edfico de Cuvier y Roulin. As\\\\u00ed como este \\\\u00faltimo, tambi\\\\u00e9n fue acreditado como \\\\u201cdisc\\\\u00edpulo\\\\u201d en la edici\\\\u00f3n del Reino Animal de 1836. De hecho, su figura juega un papel fundamental en la investigaci\\\\u00f3n acerca de la determinaci\\\\u00f3n de las caracter\\\\u00edsticas raciales de los americanos para la clasificaci\\\\u00f3n del Reino Animal de Cuvier. En el texto la l\\\\u00e1mina del campamento del Quind\\\\u00edo se titula Passage du Quindiu entre Ibagu\\\\u00e9 & Cartago. Es invocada en el contexto en el que se est\\\\u00e1 narrando el viaje desde Bogot\\\\u00e1 hasta Guayaquil. La narraci\\\\u00f3n de este tramo sigue de cerca la descripci\\\\u00f3n hecha por Humboldt en Vues. La l\\\\u00e1mina es invocada expresamente (\\\\u201cPt.X -3\\\\u201d) para aludir a los contaderos, que es el lugar en los \\\\u201caltos de las monta\\\\u00f1as\\\\u201d con fuente de agua pr\\\\u00f3xima y comida para las \\\\u201cbestias\\\\u201d en donde se establece el campamento. All\\\\u00ed d\\\\u2019Orbigny vuelve sobre un tema tratado por Humboldt en su relato. Este es el del uso del Bijao  (Bichai, se lee en el relato), la hoja de una planta que est\\\\u00e1 provista de un barniz que la hace \\\\u201cimpermeable\\\\u201d, a la que, seg\\\\u00fan he mencionado en varias ocasiones, se refiri\\\\u00f3 Humboldt. Por su parte, la l\\\\u00e1mina muestra a diversas figuras llevando a cabo actividades en el campamento. A pesar de ser producto de un calco, la composici\\\\u00f3n de la l\\\\u00e1mina de d\\\\u2019Orbigny, en comparaci\\\\u00f3n con el boceto de Roulin, muestra algunas diferencias. El plano del grabado usado por d\\\\u2019Orbigny es m\\\\u00e1s abierto. Como si se quisiera mostrar una vista general, al contrario del plano m\\\\u00e1s cerrado de Roulin que quiere detenerse en los detalles. Asimismo, hay cambios en algunas figuras. Por ejemplo, el sujeto que Combes confundi\\\\u00f3 por Boussingault, que se encuentra en el borde derecho de la l\\\\u00e1mina, ya no tiene apariencia de un sujeto distinguido, sino m\\\\u00e1s bien parece un campesino local. Tampoco se pueden apreciar los cargueros armando la tienda con las hojas de Bijao. Tambi\\\\u00e9n es de inter\\\\u00e9s la l\\\\u00e1mina Minas de la Vega de Sup\\\\u00eda que representa el siguiente tramo en el recorrido del viajero ficticio de d\\\\u2019Orbigny. Aunque no se encuentra entre las acuarelas donadas en el 2003, esta l\\\\u00e1mina es muy probablemente hecha a partir de un dibujo de Roulin.\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1oBjRHIPG72QUTyVt7Ay_40wC3pjNoO94,roulin,https://archive.org/details/voyagepittoresque00orbirich/page/78/mode/2up,Francia,baston,recibiendo,sombrilla,2.0,frente,frente,atras,masculino,figura,tipos humanos,libro,False,19.png\\\\n23,El Tabillo: Mani\\\\u00e9re dont les voyageurs sont port\\\\u00e9s \\\\u00e1 dos d\\\\u2019homme dans les envirous de Pasto,A de Lattre. Original de Francois Desire Roulin,1848,Grabado,Grabado en madera,papel,NI,NI,\\\\\"Le Magasin pittoresque, 16, 1848\\\\\",\\\\\"Descripci\\\\u00f3n del carguero en el Putumayo. Llama la atenci\\\\u00f3n que la t\\\\u00e9cnica usada es diferente, la silla es m\\\\u00e1s rudimentaria, y el pasajero mira hacia delante. Notar relaci\\\\u00f3n con la acuarela de Guti\\\\u00e9rrez de Alba que refiere a un carguero en Caquet\\\\u00e1, y con la del carguero de Ecuador de la expedici\\\\u00f3n Malaspina. Parece ser una caracter\\\\u00edstica propia de los ejemplares del sur\\\\\",1819 - 1850,Amazon\\\\u00eda,Colombia,Putumayo,1SDt6MnO2OcqZshOsaq3aVoRcTMWrr_Yo,tablillo,https://gallica.bnf.fr/ark:/12148/bpt6k314316/f237.item,Francia,baston,caminando,sombrero,1.0,frente,frente,adelante,masculino,figura,tipos humanos,prensa,False,20.png\\\\n24,Passage d\\\\u2019un torrent,A de Lattre. Original de Francois Desire Roulin,1848,Grabado,Grabado en madera,papel,NI,NI,\\\\\"Le Magasin pittoresque, 16, 1848\\\\\",\\\\\"Este es un plano general de la imagen \\\\\"\\\\\"Tablillo, Mani\\\\u00e9re dont les voyageurs sont port\\\\u00e9s \\\\u00e1 dos d\\\\u2019homme dans les envirous de Pasto\\\\\"\\\\\". Mantiene esta peculiar disposici\\\\u00f3n de la silla y de la carga. Fue rese\\\\u00f1ada en el libro \\\\\"\\\\\"Tarabitas y cabuyas: la representaci\\\\u00f3n del puente en el arte en Colombia durante el siglo XIX\\\\\"\\\\\" de Ver\\\\u00f3nica Uribe Hanabergh. \\\\\",1819 - 1850,Amazon\\\\u00eda,Colombia,Putumayo,12hhl_9Viip9JZG_lGUkh2WJwcO8pJ8ur,tablillo,https://gallica.bnf.fr/ark:/12148/bpt6k314316/f240.item,Francia,baston,caminando,sombrero,1.0,frente,frente,adelante,masculino,fondo,vista,prensa,False,21.png\\\\n25,La silla: mani\\\\u00e9re de porter les voyageurs dans le Quindiu,A de Lattre. Original de Francois Desire Roulin,1848,Grabado,Grabado en madera,papel,NI,NI,\\\\\"Le Magasin pittoresque, 16, 1848\\\\\",\\\\\"Tomada del modelo de Roulin. Se usa para contrastar con el m\\\\u00e9todo de las tierras del sur, llamado Tablillo\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1TlPWqxuiOl16rqkjzv8Jc4PTM6vZp8Vj,roulin,https://gallica.bnf.fr/ark:/12148/bpt6k314316/f237.item,Francia,baston,caminando,sombrilla,1.0,abajo,frente,atras,masculino,figura,tipos humanos,prensa,False,22.png\\\\n26,[Carguero],Cordech,1849,Grabado,Grabado en madera,papel,NI,NI,Semanario Pintoresco Espa\\\\u00f1ol 12 (1849): 91,\\\\\"En 1849 apareci\\\\u00f3 la misma imagen del art\\\\u00edculo de Magasin Pittoresque de A de Lattre, aunque atribuy\\\\u00e9ndole el cr\\\\u00e9dito a otro dibujante y sin atribuciones al grabado, en una versi\\\\u00f3n espa\\\\u00f1ola de la revista francesa denominada el Semanario Pintoresco Espa\\\\u00f1ol atribuido a 'un viajero'\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1fuOYUjdv2aKWHEXPf4Zv21S8LKWVAS9L,roulin,https://books.google.com.cu/books?id=9JBEAAAAcAAJ&pg=PA89&hl=es&source=gbs_toc_r&cad=3#v=onepage&q&f=false,Espa\\\\u00f1a,baston,caminando,sombrilla,1.0,abajo,frente,atras,masculino,figura,tipos humanos,prensa,False,25.png\\\\n27,Die Silla,AHC. Rose,1851,Grabado,Grabado en madera,papel,NI,NI,Das Pfennig-Magazin 19 (1851),\\\\\"Otro ejemplar de la imagen del art\\\\u00edculo de A de Lattre en Magasin Pittoresque puede encontrarse, con las mismas atribuciones al dibujante y al grabador, en la revista alemana Das Pfennig-Magazin, publicada en 1851. De acuerdo con un modelo de producci\\\\u00f3n de impresos y de distribuci\\\\u00f3n y comercializaci\\\\u00f3n popularizado por The Penny Magazine -la directa competidora de The Saturday Magazine-, era habitual que entre estas revistas se compraran entre ellas los art\\\\u00edculos y las planchas xilogr\\\\u00e1ficas para producir las im\\\\u00e1genes y de esta manera llenar el contenido de las propias publicaciones. Estas revistas estaban orientadas a un p\\\\u00fablico amplio y ten\\\\u00edan un \\\\u00e1nimo de instrucci\\\\u00f3n y educaci\\\\u00f3n popular.\\\\\",1851 - 1863,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1wRmU5Ecy6c6UOewujZhpEML0l84B0_yg,roulin,https://pbc.gda.pl/dlibra/publication/79722/edition/72711?language=en,Alemania,baston,caminando,sombrilla,1.0,abajo,frente,atras,masculino,figura,tipos humanos,prensa,False,26.png\\\\n28,Cargueros,An\\\\u00f3nimo,1846,Grabado,Grabado en madera,papel,NI,NI,\\\\\"Humbolt's travels and discoveries in South America, (Londres: John W. Parker, 1846)\\\\\",\\\\\"Esta edici\\\\u00f3n no tienen un autor identificado y relata los viajes de Humboldt en tercera persona. Otmar Ette ha mostrado c\\\\u00f3mo muchos editores se aprovecharon de la fama del viaje de Humboldt y las expectativas del p\\\\u00fablico de informarse de estos sin tener que esforzarse demasiado en asuntos t\\\\u00e9cnicos. La obra parece seguir el itinerario de Relation historique. El resto del viaje es recosnrtruido con fragmentos de Vues y se despachan en un solo cap\\\\u00edtulo. La mayor\\\\u00eda de las im\\\\u00e1genes son copias de mala calidad de Vues. Algunas otras no son de las obras de Humboldt. El carguero aparece en la primera p\\\\u00e1gina debajo del t\\\\u00edtulo y en la p\\\\u00e1gina 253. Es tomado de la quinta l\\\\u00e1mina de Vues, pero no aparece en su totalidad, sino apenas un primer plano. Por su parte, el carguero que en la l\\\\u00e1mina de Humboldt no est\\\\u00e1 cargando a nadie, en este caso si lleva carga. Es la misma imagen usada en el art\\\\u00edculo de 1839 en The Saturday Magazine. Ambos productos fueron publicados por la misma editorial. Probablemente usaron la misma plancha para hacer el grabado\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1uxl4tjmX5w0Xd_UJRtfZd4YvOHSV5831,humboldt,https://babel.hathitrust.org/cgi/pt?id=nc01.ark:/13960/t5fb69h1v&view=1up&seq=7,Inglaterra,baston,caminando,libro,3.0,espectador,frente,atras,femenino,figura,tipos humanos,libro,False,28.png\\\\n29,\\\\\"Manisales, provincia de C\\\\u00f3rdova\\\\\",Henry Price,1852,Pintura,Acuarela,papel,19,28,\\\\\"Coleccion Acuarelas de la Comision Corografica. Biblioteca Nacional de Colombia, Bogot\\\\u00e1.\\\\\",\\\\\"El carguero de esta acuarela, al contrario del de la imagen Camino a N\\\\u00f3vita Barbacoas, tiene piel clara y barba, y lleva en sus espaldas a alguien que puede ser considerado su par. Para Appelbaum, la diferencia entre las dos l\\\\u00e1minas de los cargueros sintetiza la percepci\\\\u00f3n tan distinta que la Comisi\\\\u00f3n ten\\\\u00eda de las \\\\u201ctierras bajas\\\\u201d de la costa pac\\\\u00edfica con respecto a las \\\\u201ctierras altas\\\\u201d de las provincias andinas. Los habitantes de las tierras altas andinas, \\\\u201calgo toscos, pero en general laboriosos, estaban a la espera de mejores instituciones republicanas\\\\u201d (2017, 97). Por el contrario, los habitantes de la costa pac\\\\u00edfica fueron rotulados de \\\\u201cnegros\\\\u201d y eran considerados b\\\\u00e1rbaros que no merec\\\\u00edan instituciones democr\\\\u00e1ticas sino la aplicaci\\\\u00f3n de medidas coercitivas (Appelbaum 2017, 98).\\\\\",1851 - 1863,Monta\\\\u00f1as andinas,Colombia,Antioquia,1B9FMJt-bx24ZyhbDD_c3qYG3wGU4vISs,corografica,https://bibliotecanacional.gov.co/es-co/colecciones/biblioteca-digital/Publicacion?nombre=L%C3%A1minas%20de%20la%20Comisi%C3%B3n%20Corogr%C3%A1fica,Colombia,baston,ascendiendo,sombrero,1.0,abajo,frente,atras,masculino,figura,tipos humanos,lamina,False,30.png\\\\n30,Camino a N\\\\u00f3vita en la monta\\\\u00f1a de Taman\\\\u00e1. Provincia del Choc\\\\u00f3,An\\\\u00f3nimo (err\\\\u00f3neamente atribuido a Manuel Mar\\\\u00eda Paz),1853,Pintura,Acuarela,papel,24,32,\\\\\"Coleccion Acuarelas de la Comision Corografica. Biblioteca Nacional de Colombia, Bogot\\\\u00e1.\\\\\",\\\\\"La l\\\\u00e1mina plantea un evidente contraste entre el estatus civilizado, subrayado por el libro abierto, la postura y el atuendo del viajero, y \\\\u201clo b\\\\u00e1rbaro del carguero y su entorno\\\\u201d (Appelbaum 2017, 95). Es una ilustraci\\\\u00f3n de un pasaje relatado en los viajez de Santiago P\\\\u00e9rez, por aquel entonces relator de la Comisi\\\\u00f3n corogr\\\\u00e1fica, publicados en El Neogranadino. La imagen fue compuesta por un autor an\\\\u00f3nimo -probablemente Le\\\\u00f3n Ambrose Gauthier- a partir de un boceto de Manuel Mar\\\\u00eda Paz y del relato de Santiago P\\\\u00e9rez\\\\\",1851 - 1863,Monta\\\\u00f1as andinas,Colombia,Choc\\\\u00f3,17W_Rp_I4a5W8wyujOqv90AaRWlBnKY_J,corografica,https://bibliotecanacional.gov.co/es-co/colecciones/biblioteca-digital/Publicacion?nombre=L%C3%A1minas%20de%20la%20Comisi%C3%B3n%20Corogr%C3%A1fica,Colombia,baston,cruzando,libro,2.0,abajo,frente,atras,masculino,figura,tipos humanos,lamina,False,29.png\\\\n31,Cargueros en la monta\\\\u00f1a de N\\\\u00f3vita. Provincia del Choc\\\\u00f3,Manuel Mar\\\\u00eda Paz,1853,Pintura,Acuarela,papel,NI,NI,\\\\\"Coleccion Acuarelas de la Comision Corografica. Biblioteca Nacional de Colombia, Bogot\\\\u00e1.\\\\\",Esta imagen escenifica la tan aludida descripci\\\\u00f3n de la construcci\\\\u00f3n del campamento por parte de los cargueros. Se puede ver erigi\\\\u00e9ndose la tienda y a uno de ellos sosteniendo una hoja de bijao. Mientras tanto otro carguero agachado acondiciona su silla. Esta escena es descrita por Santiago P\\\\u00e9rez en sus viajes.,1851 - 1863,Monta\\\\u00f1as andinas,Colombia,Choc\\\\u00f3,11Q8HOvKwVh-7hGN7hjZZZ5iJUhZSUnpz,corografica,\\\\\"https://www.loc.gov/resource/gdcwdl.wdl_09065/?r=0.813,0.642,0.375,0.228,0\\\\\",Colombia,bijao,construyendo,,3.0,frente,,,,figura,tipos humanos,lamina,False,92.jpg\\\\n32,Cargueros en la monta\\\\u00f1a de Barbacoas: Provincia de Barbacoas,Manuel Mar\\\\u00eda Paz,1853,Pintura,Acuarela,papel,NI,NI,\\\\\"Coleccion Acuarelas de la Comision Corografica. Biblioteca Nacional de Colombia, Bogot\\\\u00e1.\\\\\",,1851 - 1863,Monta\\\\u00f1as andinas,Colombia,Barbacoas,1HgKLh4_77pL_c4sswtptFTYogWBXc5Vg,corografica,https://www.loc.gov/item/2021670042/,Colombia,baston,ascendiendo,,2.0,frente,,,,figura,tipos humanos,lamina,False,91.jpg\\\\n33,Antiguo modo de viajar por la monta\\\\u00f1a del Quind\\\\u00edo,Ram\\\\u00f3n Torres M\\\\u00e9ndez,1851,Grabado,Xilograf\\\\u00eda,papel,NI,NI,\\\\\"El Pasatiempo [Bogot\\\\u00e1] dic. 20, 1851.\\\\\",\\\\\"El Pasatiempo, El Neogranadino y la colecci\\\\u00f3n de l\\\\u00e1minas Costumbres neogranadinas son proyectos editoriales que est\\\\u00e1n relacionados con un mismo taller de imprenta (promovido por Manuel Anc\\\\u00edzar). Este se caracteriz\\\\u00f3 por una transformaci\\\\u00f3n de la concepci\\\\u00f3n sobre la  peri\\\\u00f3dica que contempla la necesidad de expandir la conformaci\\\\u00f3n de un p\\\\u00fablico mediante innovaciones tecnol\\\\u00f3gicas, procesos de racionalizaci\\\\u00f3n de la producci\\\\u00f3n y estrategias de difusi\\\\u00f3n. Siguieron los pasos de \\\\u00c9mile de Girardin, un periodista franc\\\\u00e9s que hab\\\\u00eda seguido el ejemplo del Magasin Pittoresque de \\\\u00c9douard Charton. En octubre de 1851, por ejemplo, se anunci\\\\u00f3 la publicaci\\\\u00f3n de una serie de l\\\\u00e1minas iluminadas\\\\u201d que pretend\\\\u00edan promocionar suscripciones a los peri\\\\u00f3dicos de la imprenta.  A partir del 8 de noviembre de 1851, aparecieron cada semana en el peri\\\\u00f3dico descripciones detalladas de las l\\\\u00e1minas, acompa\\\\u00f1adas de xilograf\\\\u00edas que representaban detalles de las originales\\\\\",1851 - 1863,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,14dAkl2p-cHlWbKJZkmFlYh2LcudbMUwR,torres,https://catalogoenlinea.bibliotecanacional.gov.co/client/es_ES/search/asset/122984,Colombia,baston,caminando,sombrero,1.0,abajo,frente,atras,masculino,figura,tipos humanos,prensa,False,31.png\\\\n34,Antiguo modo de viajar por la monta\\\\u00f1a del Quind\\\\u00edo,Ram\\\\u00f3n Torres M\\\\u00e9ndez,1851,Grabado,Litograf\\\\u00eda,papel,24.8,30.1,\\\\\"Colecci\\\\u00f3n  de  arte  del  Banco  de  la  Rep\\\\u00fablica,  Bogot\\\\u00e1.  La  litograf\\\\u00eda  pertenece  al  \\\\u00e1lbum  Costumbres neogranadinas, impreso en la litograf\\\\u00eda de Mart\\\\u00ednez y hermanos\\\\\",\\\\\"El Pasatiempo, El Neogranadino y la colecci\\\\u00f3n de l\\\\u00e1minas Costumbres neogranadinas son proyectos editoriales que est\\\\u00e1n relacionados con un mismo taller de imprenta (promovido por Manuel Anc\\\\u00edzar). Este se caracteriz\\\\u00f3 por una transformaci\\\\u00f3n de la concepci\\\\u00f3n sobre la  peri\\\\u00f3dica que contempla la necesidad de expandir la conformaci\\\\u00f3n de un p\\\\u00fablico mediante innovaciones tecnol\\\\u00f3gicas, procesos de racionalizaci\\\\u00f3n de la producci\\\\u00f3n y estrategias de difusi\\\\u00f3n. Siguieron los pasos de \\\\u00c9mile de Girardin, un periodista franc\\\\u00e9s que hab\\\\u00eda seguido el ejemplo del Magasin Pittoresque de \\\\u00c9douard Charton. En octubre de 1851, por ejemplo, se anunci\\\\u00f3 la publicaci\\\\u00f3n de una serie de l\\\\u00e1minas iluminadas\\\\u201d que pretend\\\\u00edan promocionar suscripciones a los peri\\\\u00f3dicos de la imprenta.  A partir del 8 de noviembre de 1851, aparecieron cada semana en el peri\\\\u00f3dico descripciones detalladas de las l\\\\u00e1minas, acompa\\\\u00f1adas de xilograf\\\\u00edas que representaban detalles de las originales\\\\\",1851 - 1863,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1m-Oc7IKrtrjNKLlmEWm5QnX54J3d7SKP,torres,https://www.banrepcultural.org/coleccion-de-arte/obra/modo-de-viajar-en-las-montanas-de-quindio-y-nemocon-ap3626,Colombia,baston,caminando,sombrero,1.0,abajo,frente,atras,femenino,figura,tipos humanos,lamina,False,32.png\\\\n35,Silleros in the Quind\\\\u00edo,Isaac F. Holton,1857,Grabado,Grabado,papel,NI,NI,\\\\\"New Granada: Twenty Months in the Andes, (Nueva York: Harper and Brothers Publishers, 1857) 364\\\\\",Holton tom\\\\u00f3 todas las im\\\\u00e1genes de las l\\\\u00e1minas de las costumbres neogranadinas de Ram\\\\u00f3n Torres M\\\\u00e9ndez. No cita al autor neogranadino y se refiere a las situaciones de las im\\\\u00e1genes como si estas representasen an\\\\u00e9cdotas personales. Esta en particular es tomada de la l\\\\u00e1mina Modo de viajar en las monta\\\\u00f1as de Quind\\\\u00edo y Sons\\\\u00f3n,1864 - 1902,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1FY4in94PzOIgJoa3-zR4AaF5bO7AlvIy,torres,https://archive.org/details/newgranadatwenty00holtiala/page/364/mode/2up,Estados Unidos,,caminando,sombrero,2.0,abajo,frente,atras,femenino,figura,tipos humanos,libro,False,33.png\\\\n36,Ridding in a Silla,Frederick Catherwood,1857,Grabado,Grabado,papel,NI,NI,\\\\\"John Lloyd Stephens, Incidents of travel in Central America, Chiapas and Yucatan, (Londres: Arthur Hall, Virtue y Co, 1857)\\\\\",\\\\\"La expedici\\\\u00f3n de Stephens y Catherwood se desarroll\\\\u00f3 en 1840 despu\\\\u00e9s de haber recorrido y registrado en relatos de viaje buena parte del mundo. Para ellos la obra de Waldeck fue una inspiraci\\\\u00f3n (Sandoval, 1997, p, 27). Los grabados de Catherwood sobre las ruinas se caracterizan por el realismo y la precisi\\\\u00f3n que fue lograda gracias al uso de una c\\\\u00e1mara l\\\\u00facida. Sus im\\\\u00e1genes se convirtieron en un referente de ilustraci\\\\u00f3n cient\\\\u00edfica, y aun hoy siguen sirviendo para reconstruir ciertos detalles de las ruinas que se han perdido con el tiempo y con el tr\\\\u00e1fico ilegal de antig\\\\u00fcedades. El relato de Stephens ha sido caracterizado por Miguel Caba\\\\u00f1as como un intento de dotar al proyecto de expansi\\\\u00f3n capitalista de los Estado Unidos de una historia ancestral que le de legitimidad y le permita proyectarse hacia el futuro por medio de un pasado ancestral semejante al asi\\\\u00e1tico o al europeo que tradicionalmente ha sido negado al Nuevo Mundo. Esto lo hace Stephens proyectando en las ruinas mayas \\\\u201cimaginer\\\\u00edas geogr\\\\u00e1ficas orientalistas\\\\u201d (Caba\\\\u00f1as, 2006, p. 12). En esta narraci\\\\u00f3n los espa\\\\u00f1oles, en clara influencia de la leyenda negra, se convierten en los villanos que ocultaron este pasado ancestral. Y al mismo tiempo se afirma que los herederos de estas imponentes culturas antiguas no pueden ser los \\\\u201cindios miserables\\\\u201d que actualmente est\\\\u00e1n asentados en las inmediaciones de las ruinas (Caba\\\\u00f1as, 2006, p. 22).  Efectivamente, cuando describe su viaje por las monta\\\\u00f1as de Chiapas, en compa\\\\u00f1\\\\u00eda de los silleteros, Stephens se refiere a ellos como \\\\u201csalvajes y primitivos de las primeras edades de la vida salvaje\\\\u201d  (Stephens, 1854, p. 273). Del mismo modo que los viajeros de la Nueva Granada, afirma que los indios se sorprendieron de que ellos no usaran la silla, porque, \\\\u201ca pesar del excesivo esfuerzo, sent\\\\u00edan una sensaci\\\\u00f3n de degradaci\\\\u00f3n al ser cargados en la espalda de otro hombre\\\\u201d (Stephens, 1854, p.274). Sin embargo, como justific\\\\u00e1ndose de ante mano, afirma que no estaba en buena condici\\\\u00f3n f\\\\u00edsica para el viaje, y m\\\\u00e1s tarde confiesa haber tenido que recurrir al uso de la silla. Hace una muy pormenorizada descripci\\\\u00f3n de la experiencia, llena de giros dram\\\\u00e1ticos, en un relato con muchas semejanzas a algunos de los efectuados por los viajeros en la Nueva Granada, en cuanto a la t\\\\u00e9cnica usada por el sillero, y los modos de referirse tanto a las inclemencias del territorio, como a la exuberancia de la naturaleza. El grabado de Caterwood muestra un momento de procesi\\\\u00f3n que se asemeja mucho a una descripci\\\\u00f3n dada por Stephens en el relato. La composici\\\\u00f3n no es muy parecida a la de las l\\\\u00e1minas de la Nueva Granada. Puede notarse que el sillero tambi\\\\u00e9n est\\\\u00e1 medio desnudo, y usa una t\\\\u00e9cnica semejante en cuanto a la banda que pasa por la cabeza para estabilizar el peso, que es un detalle en el que reparan todos los viajeros que hemos revisado en el caso colombiano. Puede decirse, que, del mismo modo que los casos estudiados, con excepci\\\\u00f3n del grabado de Humboldt, es m\\\\u00e1s importante retratar un momento de la acci\\\\u00f3n del viaje, que la precisi\\\\u00f3n en los detalles fision\\\\u00f3micos del paisaje. Stephens, John Lloyd. (1854). Incidents of travel in Central America, Chiapas and Yucatan. Londres: Arthur Hall, Virtue y Co. Caba\\\\u00f1as, Miguel. (2006).\\\\u2028Putting the World in Order: John Lloyd Stephens's Narration of America. Norteam\\\\u00e9rica. Revista Acad\\\\u00e9mica del CISAN-UNAM, vol. 1, n\\\\u00fam. 2, julio-diciembre, 2006, pp. 11-38; Sandoval, Roberto. (1997). Viajeros en Palenque, siglo XVIII y XIX: un estudio hist\\\\u00f3rico a trav\\\\u00e9s de su bibliograf\\\\u00eda. Bolet\\\\u00edn, Vol II, n\\\\u00fam 1, 1997.\\\\\",1864 - 1902,Monta\\\\u00f1as de Mesoamerica,M\\\\u00e9xico,Chiapas,1iuGY5_yuRYrzKWU2niDK56iJ0FYny8tT,mexico,https://openlibrary.org/works/OL2930029W/Incidents_of_travel_in_Central_America_Chiapas_and_Yucatan,Estados Unidos,,ascendiendo,sombrero,5.0,abajo,atras,atras,masculino,figura,tipos humanos,libro,False,34.png\\\\n37,Pe\\\\u00f3n carguero de las tierras altas,Ram\\\\u00f3n Torres M\\\\u00e9ndez,1851,Grabado,Litograf\\\\u00eda,papel,25.8,34.1,\\\\\"Colecci\\\\u00f3n de arte del Banco de la Rep\\\\u00fablica, Bogot\\\\u00e1\\\\\",,1851 - 1863,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1VZ5l4x9T1viEuok5CtG7AQtAH4Jub0k1,torres,https://www.banrepcultural.org/coleccion-de-arte/obra/peon-carguero-de-las-tierras-altas-ap3625,Colombia,ruana,posando,,1.0,espectador,,,,figura,tipos humanos,lamina,False,35.png\\\\n38,Porteur de Quindi\\\\u00f3,\\\\\"Charles Saffray, A. de Neuville (Dibj.)\\\\\",1873,Grabado,Grabado en madera,papel,15.5,12,Le Tour du Monde 26 (1873),La pose con el pie derecho hacia delante recuerda la pose del 'Pe\\\\u00f3n carguero de las tierras altas' de Torres M\\\\u00e9ndez.,1864 - 1902,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1LAOWtlvlHEMjMvurlHciFr3CLYbhkwSq,torres,https://gallica.bnf.fr/ark:/12148/bpt6k104971v/f79.item,Francia,ruana,posando,,1.0,espectador,,,,figura,tipos humanos,prensa,False,36.png\\\\n39,La montagne de Quindi\\\\u00f3,\\\\\"Charles Saffray, A. de Neuville (Dibj.)\\\\\",1873,Grabado,Grabado en madera,papel,15.6,11.7,\\\\\"Charles Saffray, Voyage \\\\u00e0 la Nouvelle Grenade. Le Tour de monde, 26, 1973\\\\\",La disposici\\\\u00f3n recuerda al la l\\\\u1e3fina de carguero de Cochrane,1864 - 1902,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1StGK-TMTfmfVBMZX8stC1zV-kmzk-jxY,cochrane,https://gallica.bnf.fr/ark:/12148/bpt6k104971v/f80.item,Francia,baston,descansando,,2.0,,,,,figura,tipos humanos,prensa,False,37.png\\\\n40,Carguero de la monta\\\\u00f1a de Sons\\\\u00f3n,Ram\\\\u00f3n Torres M\\\\u00e9ndez,1878,Grabado,Litograf\\\\u00eda,papel,26.5,34.5,\\\\\"Sc\\\\u00e8nes de la vie Colombi\\\\u00e8ne, (Paris: Imprenta A Delarue, 1878)\\\\\",,1864 - 1902,Monta\\\\u00f1as andinas,Colombia,Antioquia,1Efv4ivS0ieVax9bgo39Ygg2H9Z8bLFax,torres,https://www.banrepcultural.org/coleccion-de-arte/obra/carguero-de-la-montana-de-sonson-ap6257,Francia,baston,descendiendo,sombrero,1.0,abajo,frente,atras,femenino,figura,tipos humanos,lamina,False,38.png\\\\n41,Mi escribiente pasando una quebrada a espaldas de su pe\\\\u00f3n carguero,Jos\\\\u00e9 Mar\\\\u00eda Guti\\\\u00e9rrez de Alba,1873,Pintura,Acuarela,papel,18,15,Tomo IX. Excursi\\\\u00f3n al Caquet\\\\u00e1. Del 28 de enero al 26 de mayo de 1873. Impresiones de un viaje en Am\\\\u00e9rica (1970-1884),\\\\\"Para distraer mis penas, que eran muchas, y olvidar en lo posible la realidad tremenda de aquella situaci\\\\u00f3n voluntariamente elegida, me puse a copiar un grupo formado de mi escribiente y su pe\\\\u00f3n carguero, pasando un arroyo. Tambi\\\\u00e9n me propuse hacer mi propio retrato, en el mismo traje con que hab\\\\u00eda de entrar en la monta\\\\u00f1a. Fue en la expedici\\\\u00f3n al Caquet\\\\u00e1.\\\\\",1864 - 1902,Amazon\\\\u00eda,Colombia,Caquet\\\\u00e1,1KknNbl7soOc4Gs42UlCykYgLX0DQoBq9,tablillo,https://babel.banrepcultural.org/digital/collection/p17054coll16/id/217/rec/3,Espa\\\\u00f1a,baston,ascendiendo,sombrero,1.0,espectador,frente,adelante,masculino,figura,tipos humanos,lamina,False,39.png\\\\n42,Camino y puente en la monta\\\\u00f1a de Taman\\\\u00e1 (Choc\\\\u00f3). Puentes curiosos de Colombia N\\\\u00b0 3,Jos\\\\u00e9 Mar\\\\u00eda Guti\\\\u00e9rrez de Alba,1875,Pintura,Acuarela,papel,21,16,Tomo XII. Ap\\\\u00e9ndice. Maravillas y curiosidades de Colombia. Impresiones de un viaje en Am\\\\u00e9rica (1970-1884),\\\\\"Copia de la acuarela de la Comisi\\\\u00f3n Corgor\\\\u00e1fica. Junto con otras, esta imagen muestra que las im\\\\u00e1genes de la expedici\\\\u00f3n de Cosazzi tuvieron una cierta circulaci\\\\u00f3n a pesar de no haber sido publicadas oficialmente sino hasta la d\\\\u00e9cada de 1950. \\\\\",1864 - 1902,Monta\\\\u00f1as andinas,Colombia,Choc\\\\u00f3,15-IxCx_n6x2H6WARnduIA8pZBwsMNJk_,corografica,https://babel.banrepcultural.org/digital/collection/p17054coll16/id/359,Espa\\\\u00f1a,baston,cruzando,libro,2.0,abajo,frente,atras,masculino,figura,tipos humanos,lamina,False,40.png\\\\n43,Pe\\\\u00f3n carguero de las tierras fr\\\\u00edas conduciendo una viajera por el p\\\\u00e1ramo. Tipos colombianos N\\\\u00b0 12,Jos\\\\u00e9 Mar\\\\u00eda Guti\\\\u00e9rrez de Alba,1873,Grabado,Litograf\\\\u00eda,papel,18,13,Tomo XII. Ap\\\\u00e9ndice. Maravillas y curiosidades de Colombia. Impresiones de un viaje en Am\\\\u00e9rica (1970-1884),,1864 - 1902,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,10sV6rFiXlJ8upms28209wTdxDn8xQZ92,torres,https://babel.banrepcultural.org/digital/collection/p17054coll16/id/421/rec/3,Espa\\\\u00f1a,ruana,posando,,1.0,espectador,frente,,,figura,tipos humanos,lamina,False,41.png\\\\n44,Paso de una monta\\\\u00f1a a espaldas de peones cargueros. Tipos colombianos N\\\\u00b0 13,Jos\\\\u00e9 Mar\\\\u00eda Guti\\\\u00e9rrez de Alba,1873,Grabado,Litograf\\\\u00eda,papel,17,22,Tomo XII. Ap\\\\u00e9ndice. Maravillas y curiosidades de Colombia,\\\\\"La serie de tipos colombianos [\\\\u2026] es un complemento de los tipos presentados ya en el transcurso de la obra y que no ha habido ocasi\\\\u00f3n de exhibir oportunamente. Ah\\\\u00ed est\\\\u00e1n, desde el indio de las tierras fr\\\\u00edas, tocador de tiple o conductor de huevos a los mercados, hasta los lavadores de oro de las tierras c\\\\u00e1lidas, que trabajan uno o dos d\\\\u00edas al mes, para apoderarse de algunas pajillas, pepitas o arenas de metal precioso, y consagran lo dem\\\\u00e1s del tiempo a la embriaguez embrutecedora y a la holganza absoluta. Ah\\\\u00ed se hallan tambi\\\\u00e9n desde los negros de N\\\\u00f3vita, hasta los graciosos tipos de los sombrereros de Santander, alegres, vivos y decidores; la linda labradora pamplonesa y el cachaco elegante, cuya esbelta y simp\\\\u00e1tica figura se revela al trav\\\\u00e9s de su traje de campesino. Ah\\\\u00ed los peones cargueros de las tierras fr\\\\u00edas y de las calorosas e intrincadas monta\\\\u00f1as, que, convertidos en bestias de carga, cruzan, con un ser humano o un fardo enorme sobre las costillas, ya los helados y desiertos p\\\\u00e1ramos, ya las intrincadas selvas donde el m\\\\u00e1s \\\\u00e1gil cuadr\\\\u00fapedo no puede caminar por los grandes obst\\\\u00e1culos, como enormes \\\\u00e1rboles ca\\\\u00eddos y profundos atascaderos. Ah\\\\u00ed est\\\\u00e1n, por \\\\u00faltimo, la india vendedora de pasto agobiada por la carga, pero sin soltar para nada su hijo; la cigarrera del Cauca, obrera incansable, que a veces sostiene con su labor toda una familia; los campesinos antioque\\\\u00f1os, cuya fisonom\\\\u00eda revela su sencillez de costumbres y la bondad de su car\\\\u00e1cter; el aguador de Ambalema y el caucano que, sin apearse de su cabalgadura, llena en el r\\\\u00edo los canutos de bamb\\\\u00fa que le sirven de recept\\\\u00e1culo; el indio arquero de los Llanos de San Mart\\\\u00edn y Casanare que de diez veces toca nueve en el blanco con su aguda flecha; el indio de Mocoa, tr\\\\u00e1nsito entre la civilizaci\\\\u00f3n y la barbarie; los negros semisalvajes de N\\\\u00f3vita, imitadores como el mono de los movimientos y actitudes de la gente culta, y los indios macaguajes a quienes la plaga de mosquitos obliga a cubrir su desnudez\\\\\"\\\\\".\\\\\",1864 - 1902,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1KYIUrfmREg8ehcesAjrexP7PlGtshIyW,torres,https://babel.banrepcultural.org/digital/collection/p17054coll16/id/422/rec/299,Espa\\\\u00f1a,baston,caminando,sombrero,1.0,abajo,frente,atras,femenino,figura,tipos humanos,lamina,False,93.jpg\\\\n45,Carguero du Quindio et sa silleta,Edouard Andr\\\\u00e9,1879,Grabado,Grabado en madera,papel,NI,NI,\\\\\"Tour du Monde, Nouveau Journal des Voyages 37, 1879\\\\\",,1864 - 1902,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1ZKb7iqiQydKP-hK3eJTx12V0hHCPCduV,andre,https://gallica.bnf.fr/ark:/12148/bpt6k34410z/f114.item,Francia,baston,caminando,,1.0,frente,,,,figura,tipos humanos,prensa,False,42.png\\\\n46,La mont\\\\u00e9e de l'Agonie,\\\\\"Edouard Andr\\\\u00e9, Maillart(dibj.)\\\\\",1879,Grabado,Grabado en madera,papel,NI,NI,\\\\\"Tour du Monde, Nouveau Journal des Voyages 38, 1879\\\\\",,1864 - 1902,Amazon\\\\u00eda,Colombia,Putumayo,1-nKBth82B6EQDzCOEc0FpEH-I9hNMx9c,andre,https://gallica.bnf.fr/ark:/12148/bpt6k344119/f366.item,Francia,baston,ascendiendo,sombrero,1.0,abajo,frente,atras,masculino,figura,tipos humanos,prensa,False,43.png\\\\n47,Voyage a dos d\\\\u2019indie,C. P. \\\\u00c9tienne,1887,Grabado,Grabado,papel,NI,NI,\\\\\"Aper\\\\u00e7u General sur la Colombie et recits de voyages en Am\\\\u00e9rique, (Geneve: Impr. M. Richter, 1887)\\\\\",,1864 - 1902,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1XBH07TQsMywWmMPlh0AXepqeKvpN3Gmt,roulin,https://archive.org/details/nouvellegrenade00tigoog/page/n52/mode/2up,Suiza,baston,caminando,sombrero,2.0,frente,frente,adelante,masculino,figura,tipos humanos,libro,False,44.jpg\\\\n48,\\\\\"The reconstruction policy of Congress, as illustrated in California\\\\\",An\\\\u00f3nimo,1867,Grabado,Litograf\\\\u00eda,papel,36.8,27.2,\\\\\"Library of Congress Prints and Photographs Division Washington, D.C. 20540 USA http://hdl.loc.gov/loc.pnp/p.print\\\\\",\\\\\"Una s\\\\u00e1tira dirigida a la adhesi\\\\u00f3n del candidato republicano a gobernador de California, George C. Gorham, a los derechos de voto de los negros y otras minor\\\\u00edas. El hermano Jonathan (izquierda) advierte a Gorham: '\\\\u00a1Joven! Lee la historia de tu pa\\\\u00eds y aprende que esta urna electoral se dedic\\\\u00f3 \\\\u00fanicamente a la raza blanca. La carga que llevas te hundir\\\\u00e1 en la perdici\\\\u00f3n, a donde perteneces, o a mi nombre no es Jonathan'. Sostiene su mano protectoramente sobre una urna de vidrio, que se encuentra en un pedestal frente a \\\\u00e9l. En el centro est\\\\u00e1 Gorham, cuyos hombros sostienen, uno encima del otro, a un hombre negro, un hombre chino y un guerrero indio.\\\\\",1864 - 1902,Norteam\\\\u00e9rica,Estados Unidos,California,1uEPdHjFAqUfJYXy18OUbnaVlVHFeniMg,colonialista,https://www.loc.gov/pictures/resource/ds.14037/,Estados Unidos,elegante,posando,razas,1.0,espectador,espectador,adelante,masculino,figura,caricatura,prensa,True,45.png\\\\n49,The White Man's Burden (Apologies to Rudyard Kipling) Public Deposited,Frederick Victor Gillam,1899,Grabado,Cromolitograf\\\\u00eda,papel,33.7,51.7,\\\\\"Judge, vol.36, no.911, 1899\\\\\",,1864 - 1902,Norteam\\\\u00e9rica,Estados Unidos,Nueva York,10LlzMci4gmghWOxdABbjE-fmUdKl4zgw,colonialista,https://library.osu.edu/dc/concern/generic_works/g732tk384#?c=0&m=0&s=0&cv=0&xywh=-289%2C1804%2C809%2C282,Estados Unidos,elegante,ascendiendo,razas,2.0,frente,varias,varias,masculino,figura,caricatura,prensa,True,84.jpg\\\\n50,Glances at the Modes of Traveling in Foreign Lands,The Saturday Magazine,1839,Grabado,Grabado en madera,papel,NI,NI,\\\\\"Glances at the Modes of Traveling in Foreign Lands, The Saturday Magazine 449 (1839): 250-256\\\\\",\\\\\"En Inglaterra, en 1839, apareci\\\\u00f3 una alusi\\\\u00f3n a la met\\\\u00e1fora que comparaba al carguero con un animal de carga -en referencia a la an\\\\u00e9cdota de Humboldt- en un art\\\\u00edculo de The Saturday Magazine donde se discut\\\\u00eda sobre los tipos de carruajes usados en diversos lugares del mundo y la fuerza motriz que los mov\\\\u00eda. All\\\\u00ed, el horizonte de expectativa se proyecta hacia un escenario en el que estas fuerzas podr\\\\u00e1n ser de otra naturaleza y reemplazar las de los animales y los hombres. El Saturday Magazine era la revista que compet\\\\u00eda con The Penny Magazine. Estas revistas fueron pioneras en el uso de un modelo de impresi\\\\u00f3n que El modelo consist\\\\u00eda en un formato de publicaci\\\\u00f3n, unas aplicaciones tecnol\\\\u00f3gicas del uso de la xilograf\\\\u00eda y el prototipado, un proceso de racionalizaci\\\\u00f3n de la producci\\\\u00f3n de impresos, un modelo de negocio y un ideal acerca de la correlaci\\\\u00f3n que hay entre la expansi\\\\u00f3n del mercado de lectores y la posibilidad de llevar el acceso al conocimiento '\\\\u00fatil' hasta las clases populares. Ver 'The Commercial History of a Penny Magazine', The Penny Magazine 1 (1833): 377 (suplemento). \\\\\",1819 - 1850,Global,Global,Global,1FXo-vxgsAbM-NTIJn2GK3GqCwlxl_hyD,carro,https://archive.org/details/sim_saturday-magazine_1839-06_14_449/page/n3/mode/2up,Inglaterra,,,,,,,,,figura,tipos humanos,prensa,True,86.png\\\\n51,[Hamal] ou portefaix,An\\\\u00f3nimo,1799,Pintura,Acuarela,papel,NI,NI,\\\\\"Recueil. Dessins originaux de costumes turcs : un recueil de dessins aquarelles. Paris, Biblioth\\\\u00e8que nationale de France, Estampes et photographie, 4-OD-23\\\\\",,1750 - 1810,Eurasia,Turqu\\\\u00eda,Turqu\\\\u00eda,1_ECLdmECrXT8vQGnxwY0T7acMV9JTIh9,,https://gallica.bnf.fr/ark:/12148/btv1b8455918s/f72.item,Francia,turbante,caminando,objetos,1.0,,,,,figura,tipos humanos,lamina,True,46.png\\\\n52,F. 17. Chaise \\\\u00e0 Porteur ordinaire pour ceux qui n' ont acun rang. Rues de P\\\\u00e9kin,Henri L\\\\u00e9onard Jean-Baptiste Bertin,1780,Pintura,Acuarela,papel,NI,NI,\\\\\"Rues de P\\\\u00e9kin. Biblioth\\\\u00e8que nationale de France, d\\\\u00e9partement Estampes et photographie, RESERVE OE-55-4\\\\\",,1750 - 1810,Lejano oriente,China,Pekin,14m2GZ2Wzq1TauwIiex1UHUq76-xc6Fs4,carro,https://gallica.bnf.fr/ark:/12148/btv1b8452126n/f49.item,Francia,carro,caminando,carruaje,2.0,frente,,,,figura,tipos humanos,lamina,True,47.png\\\\n53,El ciego y el paralitico,Johann Theodor de Bry,1596,Grabado,Grabado,papel,NI,NI,\\\\\"Emblemata secularia mira et jucunda ... Weltliche, lustige newe Kunstst\\\\u00fcck der jetzigen Weltlauff f\\\\u00fcrbildende (Fr\\\\u00e1ncfort, 1596)\\\\\",,1500 - 1750,Europa central,Alemania,Fr\\\\u00e1ncfort,1290vNVUFm7G25tkTH6FlEOLb3_wxtPqx,ciegoParalitico,https://bildsuche.digitale-sammlungen.de/index.html?c=viewer&bandnummer=bsb00024751&pimage=00001&v=2p&nav=&l=es,Alemania,baston,caminando,sombrero,1.0,frente,frente,adelante,masculino,figura,alegoria,libro,True,48.jpg\\\\n54,Ciego e inv\\\\u00e1lido y otros tipos populares,Melchor Mar\\\\u00eda Mercado,1858,Grabado,Grabado,papel,NI,NI,\\\\\"MENDOZA L., Gunnar.\\\\u201cVocaci\\\\u00f3n de arte y drama hist\\\\u00f3rico nacional en Bolivia: el pintor MclchorMar\\\\u00eda Mercado (1816-1871): un precursor\\\\u201c, estudio introductorio a Mercado (1991), pp. 13-72.\\\\\",,1851 - 1863,Monta\\\\u00f1as andinas,Bolivia,Bolivia,1lIfNTqrfhkInrT9JuVPBsbwBKHRFcgqg,ciegoParalitico,https://pueblosoriginarios.com/recursos/colecciones/bolivia/mercado.html,Bolivia,baston,caminando,sombrero,1.0,,frente,adelante,masculino,figura,alegoria,lamina,True,87.jpg\\\\n55,Le Systeme Aveugle et la Diplomatie Paralytique,Honor\\\\u00e9 Daumier,1834,Grabado,Grabado,papel,NI,NI,\\\\\"Le Charivari, 202, 1834\\\\\",\\\\\"Honor\\\\u00e9 Daumier utiliz\\\\u00f3 la f\\\\u00e1bula de Florian con fines de s\\\\u00e1tira pol\\\\u00edtica en una caricatura, \\\\\"\\\\\"Sistema ciego y diplomacia paral\\\\u00edtica\\\\\"\\\\\", publicada en Le Charivari en 1834. Muestra al rey Luis Felipe tambale\\\\u00e1ndose bajo el peso de Talleyrand. Tal tratamiento contribuy\\\\u00f3 al surgimiento de la expresi\\\\u00f3n en franc\\\\u00e9s: \\\\\"\\\\\"L'union de l'oublie et le paralytic\\\\\"\\\\\" (\\\\\"\\\\\"la uni\\\\u00f3n del ciego y el cojo\\\\\"\\\\\"), que se us\\\\u00f3 ir\\\\u00f3nicamente en referencia a cualquier asociaci\\\\u00f3n poco prometedora.\\\\\",1819 - 1850,Europa central,Francia,Paris,1AnbQFMyiUDMTNDl7BT3FcgrhRsNrkH-I,ciegoParalitico,https://gallica.bnf.fr/ark:/12148/bpt6k3057872c/f3.item,Francia,gordo,caminando,muletas,1.0,frente,frente,adelante,masculino,figura,caricatura,prensa,True,97.jpg\\\\n56,L'Aveugle et le Paralytique,D\\\\u00f6es,1899,Grabado,Cromolitograf\\\\u00eda,papel,22,30,\\\\\"Le Rire : journal humoristique, 255, 1899\\\\\",\\\\\"Un sujeto cargando a otro representando la f\\\\u00e1bula del ciego y el paral\\\\u00edtico mientras persiguen a una mujer. en la leyenda se lee: Yo caminar\\\\u00e9 por ti, tu ver\\\\u00e1s por mi. \\\\\",1864 - 1902,Europa central,Francia,Paris,1TV1OP8375w3fJohCdCuhQnRUoJ2i27i2,ciegoParalitico,https://gallica.bnf.fr/ark:/12148/bpt6k11731315/f1.item#,Francia,baston,caminando,sombrero,1.0,frente,frente,adelante,masculino,figura,caricatura,prensa,True,98.jpg\\\\n57,The burden of the Latin races,Louis  Dalrymple,1899,Grabado,Cromolitograf\\\\u00eda,papel,NI,NI,\\\\\"Puck, 44, 1143, 1899\\\\\",\\\\\"La impresi\\\\u00f3n muestra a un hombre con la etiqueta \\\\\"\\\\\"Razas latinas\\\\\"\\\\\" que lleva a un cl\\\\u00e9rigo sobre sus hombros.\\\\\",1864 - 1902,Norteam\\\\u00e9rica,Estados Unidos,Nueva York,1agd5SzUGu0RqaKruOcsP-SXzvpiZNF40,ciegoParalitico,https://www.loc.gov/pictures/item/2012647460/,Estados Unidos,latino,caminando,clerigo,1.0,frente,frente,adelante,masculino,figura,caricatura,prensa,True,99.jpg\\\\n58,L'Aveugle et le Paralytique,Marinus Jacob KJELDGAARD dit MARINUS,1940,Fotograf\\\\u00eda,Fotomontaje,papel,23.7,17.7,\\\\\"Marianne, 384, 1940.\\\\\",\\\\\"Una pr\\\\u00e1ctica fotogr\\\\u00e1fica iniciada por los dada\\\\u00edstas, el fotomontaje fue muy popular en la d\\\\u00e9cada de 1930. En un contexto pol\\\\u00edtico turbulento, la cr\\\\u00edtica humor\\\\u00edstica, incluso sarc\\\\u00e1stica, de belicistas de todo tipo encontr\\\\u00f3 en esta aplicaci\\\\u00f3n particular de la fotograf\\\\u00eda una herramienta formidable. Marinus Jacob Kjelgaard (1184-1964) trabaja para el semanario Marianne fundado en 1932 por Gaston Gallimard. Janine Bouissounouse, periodista especializada en cine de vanguardia, es la responsable de la ilustraci\\\\u00f3n, Andr\\\\u00e9 Malraux el asesor editorial y Emmanuel Berl el redactor jefe. Este \\\\u00faltimo quer\\\\u00eda un peri\\\\u00f3dico ilustrado con fotograf\\\\u00edas \\\\\"\\\\\"divertidas\\\\\"\\\\\" de pol\\\\u00edticos.\\\\\",1903 - 1953,Europa central,Francia,Paris,1039_7AwnubQIgygAHlVpzmaEo1LJZmbH,ciegoParalitico,https://gallica.bnf.fr/ark:/12148/bpt6k7644875p/f1.image#,Francia,,caminando,,1.0,frente,frente,adelante,masculino,figura,caricatura,prensa,True,101.jpg\\\\n59,Joseph Brown en traje de montar,Jos\\\\u00e9 Mar\\\\u00eda Groot,1835,Pintura,Acuarela,cart\\\\u00f3n,24.7,17.2,\\\\\"Biblioteca del University College, Londres. MS ADD 302/6/2\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1JoDuvC05zMLE-mG0no8tlR-pwrXr_z4k,cochrane,https://worldcat.org/es/title/22382447,Colombia,animal de carga,posando,sombrero,1.0,espectador,espectador,,,figura,retrato,lamina,True,49.png\\\\n60,The Author in the Travelling Costume of the Country,Charles Stuart Cochrane,1825,Grabado,Grabado,papel,16.8,11,\\\\\"Charles Stuart Cochrane, Journal of a Residence and Travels in Colombia, During the Years 1823 and 1824 (In Two volumes), (Londres: Henry Colburn, 1825)\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1-Q5cNWLLXzy251hei1Ku9LywwxUHn-va,cochrane,https://archive.org/details/journalofresiden11825coch/page/n11/mode/2up,Inglaterra,animal de carga,posando,sombrero,1.0,espectador,espectador,,,figura,retrato,libro,True,50.png\\\\n61,Le Docteur Saffray,\\\\\"Charles Saffray, A. de Neuville (Dibj.)\\\\\",1873,Grabado,Grabado,papel,NI,NI,\\\\\"Charles Saffray, Voyage \\\\u00e0 la Nouvelle Grenade. Le Tour de monde, 26, 1973\\\\\",,1864 - 1902,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1UTDm5Y4LFPkcKV24WDBz8TeGd61fXN1c,cochrane,https://gallica.bnf.fr/ark:/12148/bpt6k104971v/f108.item,Francia,animal de carga,posando,sombrero,1.0,espectador,espectador,,,figura,retrato,prensa,True,51.png\\\\n62,Carguero en la monta\\\\u00f1a de Sons\\\\u00f3n,Ram\\\\u00f3n Torres M\\\\u00e9ndez,1910,Grabado,Grabado,papel,NI,NI,\\\\\"\\\\u00c1lbum de costumbres colombianas. Seg\\\\u00fan dibujos del Se\\\\u00f1or Ram\\\\u00f3n Torres, Publicado por la Junta Nacional del Primer Centenario de la Proclamaci\\\\u00f3n de la Independencia de la Rep\\\\u00fablica de Colombia. Edici\\\\u00f3n Ed. Victor Sperling, Leipzig, 1910\\\\\",\\\\\"L\\\\u00e1mina impresa en la edici\\\\u00f3n de 1910 hecha para conmemorar el centenario del grito de la independencia. Este ejemplar se puso en la urna centenaria que fue abierta en el 2010 por Samuel Moreno Rojas y \\\\u00c1lvaro Uribe V\\\\u00e9lez alcalde de Bogot\\\\u00e1 y presidente de Colombia, respectivamente.\\\\\",1903 - 1953,Monta\\\\u00f1as andinas,Colombia,Antioquia,1OO-Vy0956TNLBYtbg809Mp5dloxtSrv_,torres,https://biblioteca.academiahistoria.org.co/pmb/opac_css/index.php?lvl=author_see&id=4662,Colombia,baston,descendiendo,sombrero,1.0,abajo,frente,atras,femenino,figura,tipos humanos,lamina,False,52.png\\\\n63,Carguero en la monta\\\\u00f1a de Sons\\\\u00f3n,Ram\\\\u00f3n Torres M\\\\u00e9ndez,1934,Grabado,Grabado,papel,NI,NI,\\\\\"Manuel Mar\\\\u00eda Mallarino. La muerte a cada paso. Senderos. Organo de la Biblioteca Nacional de Colombia, 1934\\\\\",\\\\\"El grabado de Ram\\\\u00f3n Tores M\\\\u00e9ndez sirve como ilustraci\\\\u00f3n de un relato de Manuel Mar\\\\u00eda Mallarino acerca de su experiencia atravesando en camino del Quind\\\\u00edo. El art\\\\u00edculo est\\\\u00e1 en la secci\\\\u00f3n p\\\\u00e1ginas olvidadas de la revista Senderos, el \\\\u00f3rgano oficial de la Biblioteca Nacional a cargo de Daniel Samper Ortega\\\\\",1903 - 1953,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,12s4u2MmTH_6FTkRaOkCtjx78UONJSJYv,torres,https://catalogoenlinea.bibliotecanacional.gov.co/client/es_ES/search/asset/137993,Colombia,baston,descendiendo,sombrero,1.0,abajo,frente,atras,femenino,figura,tipos humanos,prensa,False,53.png\\\\n64,Chircales,\\\\\"Marta Rodr\\\\u00edguez, Jorge Silva\\\\\",1972,Pel\\\\u00edcula,\\\\\"Documental, cortometraje\\\\\",film,,,Proim\\\\u00e1genes,,1954 - 1990,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1uaC-8RcmorfoVzGMBc48_PTYVtyac0s6,,https://www.proimagenescolombia.com/secciones/cine_colombiano/peliculas_colombianas/pelicula_plantilla.php?id_pelicula=1566,Colombia,ni\\\\u00f1o,ascendiendo,objetos,1.0,abajo,,,,figura,arte,pelicula,False,54.png\\\\n65,Adelante,Grosso,1984,Impreso,Impreso,papel,NI,Ni,\\\\\"El Tiempo, Bogot\\\\u00e1, marzo de 1984\\\\\",,1954 - 1990,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1onTI3zc3Hhm2d7UM8YqavdQAXpJSg4eV,,,Colombia,elegante,caminando,esmoquin,1.0,frente,frente,atras,masculino,figura,caricatura,prensa,False,55.png\\\\n66,Camino a N\\\\u00f3vita en la monta\\\\u00f1a de Taman\\\\u00e1. Enciclopedia Salvat,An\\\\u00f3nimo (err\\\\u00f3neamente atribuido a Manuel Mar\\\\u00eda Paz),1977,Impreso,Impreso,papel,NI,NI,\\\\\"Enciclopedia de arte colombiano Salvat, volumen VII, Colombia pintoresca.\\\\\",\\\\\"Se pone en el contexto de un discurso sobre el 'arte nacional'. 'Esta l\\\\u00e1mina, por cierto graciosa y realista, ha sido reproducida repetidas veces como ejemplo que encarna lo testimonial y de ingenua concepci\\\\u00f3n, caracter\\\\u00edsticas no s\\\\u00f3lo de Paz, sino tambi\\\\u00e9n de otros artistas de la Comisi\\\\u00f3n corogr\\\\u00e1fica'. En la introducci\\\\u00f3n de la obra se evidencia un modo teleol\\\\u00f3gico de tramar la historia: 'esos hombres consiguieron dejarnos esa deliciosa visi\\\\u00f3n de una Colombia pintoresca, viva, llena a veces de grandes contrastes fecundos, de horizontes prometedores, de hombres y de mujeres que ya ten\\\\u00edan conciencia de que estaban empezando, solos, una larga y venturosa andadura'\\\\\",1954 - 1990,Monta\\\\u00f1as andinas,Colombia,Choc\\\\u00f3,1_s2JN0hOb6_dc3NyIK59DiGDsrpcO8-z,corografica,,Colombia,baston,cruzando,libro,2.0,abajo,frente,atras,masculino,figura,academico,libro,False,56.png\\\\n67,Portada Imperial Eyes,Mary Louis Pratt,1992,Impreso,Portada,cart\\\\u00f3n,NI,NI,\\\\\"Mary Louis Pratt, Imperial eyes. TRavel writing and transculturation, (Londres, Nueva York: Routledge, 1992)\\\\\",\\\\\"Imagen tomada de la l\\\\u00e1mina \\\\u201cEl monte de la Agon\\\\u00eda de Edouard Andr\\\\u00e9, 1879. Publicada en Le tour de monde. La imagen es de una \\\\u00e9poca posterior a la trabajada por Pratt en su libro. En la edici\\\\u00f3n en espa\\\\u00f1ol de 2011 est\\\\u00e1 l\\\\u00e1mita ilsutra el cap\\\\u00edtulo sobre los viajeros de la primera mitad del siglo XIX como vanguardia del capitalismo y de la extensi\\\\u00f3n imperial\\\\\",1954 - 1990,Monta\\\\u00f1as andinas,Colombia,,1btfAKIlmql7y0GEhgaVU3DFbokdgGoMp,andre,https://openlibrary.org/works/OL4095821W/Imperial_eyes,Estados Unidos,baston,ascendiendo,sombrero,1.0,abajo,frente,atras,masculino,figura,academico,libro,False,57.png\\\\n68,s/t. Auguste Le Moyne. El rev\\\\u00e9s de la naci\\\\u00f3n,Margarita Serje de la Osa,2011,Impreso,L\\\\u00e1mina de libro,papel,NI,NI,\\\\\"El rev\\\\u00e9s de la naci\\\\u00f3n. Territorios salvajes, fronteras y tierras de nadie (Bogot\\\\u00e1: Universidad de los Andes, 2011)\\\\\",\\\\\"Tomada de la l\\\\u00e1mina de Le Moyne, 1828. El carguero es usado como una figura, semejante a la de los colono de la frontera fluida que los discursos que justifican la intervenci\\\\u00f3n estatal suelen representar como 'bald\\\\u00eda'.\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,12dGa5etbW2SeWPQ95Woj9lt4C3gR0lI_,le moyne,https://appsciso.uniandes.edu.co/sip/data/pdf/El%20Reves%20de%20la%20Nacion%20final.pdf,Colombia,baston,caminando,silla de lujo,1.0,abajo,frente,atras,masculino,figura,academico,libro,False,58.png\\\\n69,Portada del libro \\\\u201cPor los llanos del Piedemonte,\\\\\"Carl Henrik LangebaekSantiago Giraldo, Alejandro Bernal, Silvia Monroy, Andr\\\\u00e9s Barrag\\\\u00e1n\\\\\",2000,Impreso,Portada,cart\\\\u00f3n,NI,NI,Por los caminos del Piedemonte. Una historia de las comunicaciones entre los Andes Orientales y los Llanos. Siglos XVI a XIX,\\\\\"Usan la imagen de carguero atribuida a Manuel Mar\\\\u00eda Paz de 1853. Es una imagen del viaje de la Comisi\\\\u00f3n corogr\\\\u00e1fica al Choc\\\\u00f3 para un libro que se refiere a los andes orientales y los llanos, (Bogot\\\\u00e1: Universidad de los Andes, 2000)\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Pie de monte llanero,1PkAx0G9qGbqI4qsLD5veThCPejEFhuan,corografica,https://cienciassociales.uniandes.edu.co/antropologia/publicaciones/por-los-caminos-del-piedemonte-una-historia-de-las-comunicaciones-entre-los-andes-orientales-y-los-llanos-siglos-xvi-a-xix/,Colombia,baston,cruzando,libro,2.0,abajo,frente,atras,masculino,figura,academico,libro,False,59.png\\\\n70,Afiche Maestr\\\\u00eda en Historia Universidad Tecnol\\\\u00f3gica de Pereira,Universidad Tecnol\\\\u00f3gica de Pereira,2018,Cartel digital,Afiche publicitario,Afiche publicitario,NI,NI,P\\\\u00e1gina Web Universidad Tecnol\\\\u00f3gica de Pereira,\\\\\"Afiche de publicidad de la Maestr\\\\u00eda en Historia de la Universidad Tecnol\\\\u00f3gica de Pereira. Usan la imagen del carguero de Saffray que a su vez est\\\\u00e1 basada en un carguero hecho por Ram\\\\u00f3n Torres M\\\\u00e9ndez. La imagen es una muestra del uso del carguero como s\\\\u00edmbolo de identidad regional en la zona del eje cafetero, y tambi\\\\u00e9n del uso de la imagen del carguero por parte de los historiadores.\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1gbHgHq-noSgmdsMZeM29Bv4M1NTQgzyZ,torres,https://comunicaciones.utp.edu.co/noticias/37593/inscripciones-abiertas-maestria-en-historia,Colombia,baston,posando,,1.0,espectador,,,,figura,publicidad,cartel,False,60.png\\\\n71,\\\\\"Logo de la Maestr\\\\u00eda en Historia, Universidad Tecnol\\\\u00f3gica de Pereira\\\\\",Universidad Tecnol\\\\u00f3gica de Pereira,2019,Cartel digital,Logo,digital,NI,NI,P\\\\u00e1gina Web Universidad Tecnol\\\\u00f3gica de Pereira,\\\\\"Logo de la Maestr\\\\u00eda en Historia de la Universidad Tecnol\\\\u00f3gica de Pereira. Usan la imagen del carguero de Edward Andre \\\\\"\\\\\"Monte de la agon\\\\u00eda\\\\\"\\\\\", una de las m\\\\u00e1s usadas como modelo para hacer adaptaciones. Es importante resaltar que en este caso el carguero esta cargando la H may\\\\u00fascula que representa la Historia. La imagen es una muestra del uso del carguero como s\\\\u00edmbolo de identidad regional en la zona del eje cafetero, y tambi\\\\u00e9n del uso de la imagen del carguero por parte de los historiadores. El ag\\\\u00f3nico peso de la historia que los historiadores consideran que cargan en sus espalda. Reducir la Historia a una Ha may\\\\u00fascula es muestra de su transformaci\\\\u00f3n en un singular colectivo.\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1OLSNWMnKiANDYd1zPc0-Bx8ToT_tOBa3,andre,https://comunicaciones.utp.edu.co/noticias/51243/leccion-inaugural-maestria-en-historia-con-la-comision-de-la-verdad,Colombia,baston,ascendiendo,abstracto,1.0,abajo,,,,figura,logo,cartel,False,61.png\\\\n72,\\\\\"Cartel convocatoria Revista H-art. Dossier: Colombia, siglo XIX: viajes, intercambios y otras formas de circulaci\\\\u00f3n.\\\\\",\\\\\"Revista H-art, Universidad de los Andes\\\\\",2019,Cartel digital,Afiche publicitario,Afiche publicitario,NI,NI,P\\\\u00e1gina web Revista H-art Universidad de los Andes,\\\\\"Cartel convocatoria Revista H-art. Dossier: Colombia, siglo XIX: viajes, intercambios y otras formas de circulaci\\\\u00f3n. Usa el modelo de una imagen de carguero hecha por Ram\\\\u00f3n Torres M\\\\u00e9ndez. Es una muestra del uso del carguero como s\\\\u00edmbolo de la historia decimon\\\\u00f3nica. En este caso se usa una convocatoria de un dossier con ese tema. \\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1-Cny0Ff5dYiWVmLQF-jImc0bh0oB7M68,torres,https://facartes.uniandes.edu.co/convocatorias/convocatoria-dossier-colombia-siglo-xix-viajes-intercambios-y-otras-formas-de-circulacion/,Colombia,baston,caminando,sombrero,3.0,abajo,frente,atras,femenino,figura,publicidad,cartel,False,62.png\\\\n73,\\\\\"Cartel del I Simposio internacional Colombia, siglo XIX: viajes, intercambios y otras formas de circulaci\\\\u00f3n\\\\\",Universidad de los Andes,2019,Cartel digital,Afiche publicitario,Afiche publicitario,NI,NI,Facultad de Artes y Humanidades. Facultad de Ciencias Sociales. Universidad de los Andes,\\\\\"Cartel del I Simposio internacional Colombia, siglo XIX: viajes, intercambios y otras formas de circulaci\\\\u00f3n. Es una muestra del uso del carguero como s\\\\u00edmbolo de la historia decimon\\\\u00f3nica.\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1j6ntB1tG3m5FxE99t46THSpdUZ5J00mF,,https://facartes.uniandes.edu.co/calendario/simposio-colombia-xix/,Colombia,baston,ascendiendo,libro,1.0,abajo,frente,atras,masculino,figura,publicidad,cartel,False,63.png\\\\n74,Cartel del XIX Congreso colombiano de Historia,Academia de Historia del Quind\\\\u00edo,2019,Cartel digital,Afiche publicitario,Afiche publicitario,NI,NI,P\\\\u00e1gina Web XIX Congreso colombiano de Historia,Cartel del XIX Congreso colombiano de Historia. Usa el modelo de una imagen de carguero hecha por Ram\\\\u00f3n Torres M\\\\u00e9ndez. Es una muestra del uso del carguero como s\\\\u00edmbolo de la historia decimon\\\\u00f3nica.,1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1OxoZbh5CqJ9H7poC2NNRuy5cMaigsQMI,torres,https://asocolhistoria.org/xix-congreso-colombiano-de-historia/,Colombia,baston,descendiendo,sombrero,1.0,abajo,frente,atras,masculino,figura,publicidad,cartel,False,64.png\\\\n75,Hombres bestia,Carlos Albero Osorio Monsalve. Osori\\\\u00f3n,2013,Pintura,Dibujo,papel,NI,NI,Blog Osori\\\\u00f3n. Carlos Osorio,\\\\\"La imagen se encuentra en blog Osorion acompa\\\\u00f1ada del siguiente texto: \\\\u201cHoy, recordamos y homenajeamos a estos \\\\u201cHombres bestias\\\\u201d quienes fueron h\\\\u00e9roes y protagonistas de el progreso. Ellos, desafiando las monta\\\\u00f1as, las inclemencias y las afecciones hicieron grande a Antioquia y dieron reconocimiento a El Pe\\\\u00f1ol como el pueblo que persistente en las adversidades, gracias a sus hombres fuertes, aguerridos y emprendedores\\\\u201d.\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Antioquia,1FyDIp4c6JyN7z37JpN95l6LUrfoAirPW,,http://laobradeosorio.blogspot.com/2014_03_01_archive.html,Colombia,baston,ascendiendo,sombrero,1.0,abajo,abajo,atras,masculino,figura,arte,lamina,False,65.png\\\\n76,El silletero,Pascal Tissot,2005,Escultura,Escultura de bulto,cobre,100,190,P\\\\u00e1gina Web del artista,\\\\\"Obra realizada por un artista autodidacta franc\\\\u00e9s que ha vivido pr\\\\u00e1cticamente toda su vida en Colombia. La escultura usa el modelo de la imagen \\\\\"\\\\\"monte de la agon\\\\u00eda\\\\\"\\\\\" de Edward Andr\\\\u00e9. \\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1Pu8fEguJLclHZ71aKLwU-pztWM6h2inr,andre,https://www.artelista.com/obra/9478059898112354-elsilletero.html,Colombia,baston,ascendiendo,libro,1.0,abajo,frente,atras,masculino,figura,arte,escultura,False,66.png\\\\n77,Im\\\\u00e1genes del desfile de inauguraci\\\\u00f3n del festival iberoamericano de teatro,Comparsa del Quind\\\\u00edo,2012,Teatro,Teatro callejero,cuerpo,,,Festival Iberoamericano de Teatro,\\\\\"Los cargueros del Quind\\\\u00edo (XIII FITB 2012) por Carolina Castro Parra, Desfile Inaugural del XIII Festival Iberoamericano de Teatro de Bogot\\\\u00e1. comparsa del Departamento del Quind\\\\u00edo. En la sim\\\\u00e1genes del desfile se puede ver c\\\\u00f3mo utilizan las im\\\\u00e1genes del siglo XIX para recrear los personajes d\\\\u00e1ndoles los atributos t\\\\u00edpicos como la sombrilla, el sombrero, y los trajes que visten tanto el carguero como el cargado. En el caso de las im\\\\u00e1genes que se ven se puede percibir la influencia del carguero del Monte de la Agon\\\\u00eda de Edward Andr\\\\u00e9. \\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1-EIEyuAzHlC7KW8btgFzZl1BJCVBisZz,andre,https://www.youtube.com/watch?v=sviQwhzdaaY,Colombia,baston,caminando,,2.0,abajo,,atras,masculino,figura,arte,performance,False,67.png\\\\n78,Z\\\\u00f3calo Guatape,An\\\\u00f3nimo,2014,Pintura,Mural,muro,NI,NI,Fotograf\\\\u00eda tomada por Juan Felipe Urue\\\\u00f1a,\\\\\"Z\\\\u00f3calos que se encuentran en el municipio de Guatap\\\\u00e9 en Antioquia. Este es un pueblo tur\\\\u00edstico que se caracteriza por estar construido sobre un embalse. Se lo conoce oficialmente como \\\\\"\\\\\"El pueblo de los Z\\\\u00f3calos\\\\\"\\\\\", seg\\\\u00fan una denominaci\\\\u00f3n de marca otorgada por el Ministerio del cultura. En una tesis de Maestr\\\\u00eda en Historia de la universidad Nacional sede Medell\\\\u00edn Luz Mery Ayala muestra el uso que se ha dado a los Z\\\\u00f3calos para construir did\\\\u00e1cticamente memoria colectiva acerca de los sucesos hist\\\\u00f3rico del departamento y el municipio. Guatap\\\\u00e9 era una de las estaciones que hac\\\\u00edan los cargueros en el camino de Juntas que iba desde Puerto Nare a Medell\\\\u00edn: \\\\\"\\\\\"En los z\\\\u00f3calos del municipio no pod\\\\u00eda faltar este pasaje de historia por contar, en los que se resalta el tipo de transporte que se hac\\\\u00eda desde Juntas hasta La Ceja de Guatap\\\\u00e9\\\\\"\\\\\" (Ayala, 2017, p. 45-46). Esta imagen se ve un carguero enteramente vestido que lleva a una persona con sobre peso. al fondo se ve la Piedra del Pe\\\\u00f1\\\\u00f3n. El peso del cargado probablemente aluda a otro de los relatos que se encuentra en los libros de los viajeros acerca de un habitante de Antioquia con sobrepeso que ten\\\\u00eda que tener sus propios cargueros. \\\\\",1954 - 1990,Monta\\\\u00f1as andinas,Colombia,Antioquia,1_yQuyT7S1CtyoJy13QmnZdUDnVxpAJ-m,,https://repositorio.unal.edu.co/handle/unal/59843,Colombia,vestido,caminando,sombrero,1.0,frente,arriba,atras,masculino,figura,artesania,mural,False,68.png\\\\n79,Z\\\\u00f3calo Guatape,An\\\\u00f3nimo,2014,Pintura,Mural,muro,NI,NI,Fotograf\\\\u00eda tomada por Juan Felipe Urue\\\\u00f1a,\\\\\"Z\\\\u00f3calos que se encuentran en el municipio de Guatap\\\\u00e9 en Antioquia. Este es un pueblo tur\\\\u00edstico que se caracteriza por estar construido sobre un embalse. Se lo conoce oficialmente como \\\\\"\\\\\"El pueblo de los Z\\\\u00f3calos\\\\\"\\\\\", seg\\\\u00fan una denominaci\\\\u00f3n de marca otorgada por el Ministerio del cultura. En una tesis de Maestr\\\\u00eda en Historia de la universidad Nacional sede Medell\\\\u00edn Luz Mery Ayala muestra el uso que se ha dado a los Z\\\\u00f3calos para construir did\\\\u00e1cticamente memoria colectiva acerca de los sucesos hist\\\\u00f3rico del departamento y el municipio. Guatap\\\\u00e9 era una de las estaciones que hac\\\\u00edan los cargueros en el camino de Juntas que iba desde Puerto Nare a Medell\\\\u00edn: \\\\\"\\\\\"En los z\\\\u00f3calos del municipio no pod\\\\u00eda faltar este pasaje de historia por contar, en los que se resalta el tipo de transporte que se hac\\\\u00eda desde Juntas hasta La Ceja de Guatap\\\\u00e9\\\\\"\\\\\" (Ayala, 2017, p. 45-46). Estos z\\\\u00f3calos en particular se encuentran en el Museo del municipio. Establecen una genealog\\\\u00eda entre los cargueros y los silleteros de la feria de las flores de Santa Helena. El modelo para realizar el carguero es nuevamente el de del Monte de la Agon\\\\u00eda de Edward Andr\\\\u00e9.\\\\\",1954 - 1990,Monta\\\\u00f1as andinas,Colombia,Antioquia,1U0glF173v2NhgXD9biD-BdXpcPrGZiyI,andre,https://repositorio.unal.edu.co/handle/unal/59843,Colombia,baston,ascendiendo,sombrero,1.0,abajo,frente,atras,masculino,figura,artesania,mural,False,69.png\\\\n80,Por los caminos del Quind\\\\u00edo (Detalle),Henry Villada,2017,Pintura,Mural,muro,NI,NI,Fotograf\\\\u00eda tomada por Juan Felipe Urue\\\\u00f1a,\\\\\"El carguero est\\\\u00e1 incluido en una secuencia narrativa que muestra una evoluci\\\\u00f3n progresiva que va desde los cargueros en un contexto agreste, pasando por los arrieros con sus mulas, llegando al Jeep Willis en un contexto colonizado que se ilustra con las t\\\\u00edpicas casas de las fincas cafeteras. El mural ha tomado como modelo de algunas de sus escenas, l\\\\u00e1minas de viajeros del siglo XIX. Una reproducida en el libro de John Porter Hamilton, y otra elaborada por Roulin que se refiere originalmente al camino Honda-Guaduas.\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Antioquia,1eYN19FdRI1bYUr1lon59pCzz7ruEt4u9,,https://www.elquindiano.com/noticia/2547/avanza-el-mural-por-los-caminos-del-quindio,Colombia,baston,caminando,sombrero,1.0,abajo,frente,atras,masculino,figura,arte,mural,False,70.png\\\\n81,Silla,An\\\\u00f3nimo,2018,Escultura,Escultura de bulto,madera,,,Fotograf\\\\u00eda tomada del blog de la Academia de Historia del Quind\\\\u00edo,\\\\\" Armaz\\\\u00f3n de guadua (latas de guadua), cuyas medidas eran: de unos tres pies (91cms), largo, y de ancho, un pie (31.5 cms), ensambladas y amarradas entre s\\\\u00ed con bejucos, provista de espaldar con una inclinaci\\\\u00f3n de 60\\\\u00b0, con el fin de que el transportado pudiera juntar su espalda con la espalda del sillero.  En la parte baja de la silla se amarra una tabla, en \\\\u00e1ngulo recto, que tiene las mismas dimensiones del ancho. Vista as\\\\u00ed, toda la estructura semeja una silla sin patas.Dos fuertes pretinas a manera de arn\\\\u00e9s, situadas en los extremos de ambos bastidores de la silla, manten\\\\u00edan todo en \\\\u00e1ngulo recto, sirviendo al propio tiempo de brazos a los que el viajero pod\\\\u00eda asirse. Un pedazo de bamb\\\\u00fa de un pie de largo, colgaba en su parte inferior y le serv\\\\u00eda como estribo, si es que el acarreado pod\\\\u00eda considerarse como un jinete de caballer\\\\u00eda.\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,12WTi-LqWd4slwx2-3VBKHuAr_OUGaAgI,torres,http://academiadehistoriadelquindio.blogspot.com/2018/04/silleteros-y-cargueros-microhistorias.html,Colombia,,posando,,1.0,,,,,figura,artesania,escultura,False,71.png\\\\n82,Logo de la Academia de Historia del Quind\\\\u00edo,Academia de Historia del Quind\\\\u00edo,2020,Cartel digital,Logo,digital,,,Tomado del blog de la Academia de Historia del Quind\\\\u00edo,Logo de la Academia de Historia del Quind\\\\u00edo. Usa el modelo de un carguero que se encuentra en el relato de Edward Andr\\\\u00e9 que lleva la silla vac\\\\u00eda.,1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1CC7rARTTKce4MOANCqKyhSTZnybbvU5P,andre,http://academiadehistoriadelquindio.blogspot.com/,Colombia,baston,caminando,,1.0,abajo,,,,figura,logo,digital,False,72.png\\\\n83,Colombia de Reojo,Santiago Hacker,2014,Fotograf\\\\u00eda,Serie fotogr\\\\u00e1fica,film,,,Fotograf\\\\u00eda tomada por Juan Felipe Urue\\\\u00f1a,\\\\\"Santiago Harker sigui\\\\u00f3 los pasos de la Comisi\\\\u00f3n Corogr\\\\u00e1fica. Tomando fotografias que establcen correspondencias visuales, tem\\\\u00e1ticas y geogr\\\\u00e1ficas con las l\\\\u00e1minas de la Comisi\\\\u00f3n Corogr\\\\u00e1fica \\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1KhpzfMHIoB364MoPhxCV-PsGVMrjpRdg,corografica,https://villegaseditores.com/products/colombia-de-reojo?_pos=1&_sid=7c71fcc8f&_ss=r,Colombia,baston,ascendiendo,sombrero,1.0,abajo,frente,atras,masculino,figura,arte,fotografia,False,73.png\\\\n84,La sombra del caminante,Ciro Guerra (Director),2004,Pel\\\\u00edcula,Largometraje argumental,film,NI,NI,\\\\\"Proim\\\\u00e1genes, 2004\\\\\",\\\\\"Pel\\\\u00edcula de Ciro Guerra que actualiza la f\\\\u00e1bula del Ciengo y el paral\\\\u00edtico y la mezcla con la figura del carguero. En  este  film,  los  personajes  principales  son  dos  desplazados  que  est\\\\u00e1n  buscando en Bogot\\\\u00e1 mejores condiciones de vida. En este caso, la capital de la re-p\\\\u00fablica puede interpretarse como la representaci\\\\u00f3n del destino, del ascenso al que se  dirige  todo  caminante  que  ha  sido  desplazado  de  su  tierra.  Una  vez  llegan  a  su  destino,  los  personajes  de  la  pel\\\\u00edcula  sienten  la  incomodidad  de  no  poder  realizar  sus aspiraciones. Uno de ellos no encuentra trabajo y el otro no puede alejarse de los fantasmas de su pasado. El victimario y la v\\\\u00edctima se encuentran, y con la met\\\\u00e1fora del carguero y del ciago y el pral\\\\u00edtico se hacen uno en su trasegar por la ciudad. Un recorrido de ascenso que sin embargo termina convirti\\\\u00e9ndose en un retorno al c\\\\u00edrculo vicioso de la violencia.\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1TO5swL2l3J7e8k1AVtlVmL3u1Q9cWYpT,ciegoParalitico,https://www.proimagenescolombia.com//secciones/cine_colombiano/peliculas_colombianas/pelicula_plantilla.php?id_pelicula=274,Colombia,sombrilla,caminando,baston,1.0,abajo,frente,atras,masculino,figura,arte,pelicula,False,74.png\\\\n85,Carguero. Rappi,Luis Fernando Medina. #Luscus,2019,Fotomontaje,Calcoman\\\\u00eda,papel,NI,NI,Paro nacional de noviembre de 2019,\\\\\"Fotomontaje distribuido como calcoman\\\\u00eda que muestra la gram\\\\u00e1tica espacial del arriba/abajo, el cargador y cargado, y su potencial para hacer s\\\\u00e1tira social. En este caso se refiere a las condiciones de en que son contratados los mensajeros de la Aplicaci\\\\u00f3n para domicilios Rapi. Una difundida matriz de opini\\\\u00f3n relaciona estas actividades con explotaci\\\\u00f3n laboral o trabajo esclavo moderno. Los mensajeros no son formalmente contratados y por esta raz\\\\u00f3n no tiene derecho a seguridad social. \\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1H1LzGSfkI_WaJ60WNBqASLNSakW9t1fQ,andre,,Colombia,baston,ascendiendo,objetos,1.0,abajo,,,,figura,opinion,lamina,False,75.png\\\\n86,Meme,An\\\\u00f3nimo,2019,Fotomontaje,Meme,digital,NI,NI,Twitter,\\\\\"Meme que muestra la gram\\\\u00e1tica espacial del arriba/abajo, el cargador y cargado, y su potencial para hacer s\\\\u00e1tira social.\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1Aw-Uv86jgf2kSQBOc81wsyWbHEug6KWt,andre,,Colombia,baston,ascendiendo,sombrero,1.0,abajo,frente,atras,masculino,figura,opinion,digital,False,76.png\\\\n87,El paso del Quind\\\\u00edo,Alejandro Gaviria,2010,Art\\\\u00edculo de prensa,Art\\\\u00edculo de opini\\\\u00f3n,Art\\\\u00edculo de opini\\\\u00f3n,,,El Espectador 11 Dic. 2010.,Alejandro Gaviria usa a los cargueros y su traves\\\\u00eda por el paso del Quind\\\\u00edo como met\\\\u00e1fora para discutir sobre la lentitud de la ejecuci\\\\u00f3n de las obras p\\\\u00fablicas en Colombia,1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,16qy5d_LF03ig9EnUWZe0LRB-j49sLKr-,,https://www.elespectador.com/opinion/columnistas/alejandro-gaviria/el-paso-del-quindio-column-239854/,Colombia,,,,,,,,,figura,opinion,prensa,False,77.png\\\\n88,Reacciones de tuiteros,\\\\\"Madame Simone, Laura Quintana, Lucas Ospina, Roberto Angulo\\\\\",2019,Tweet,Tweet,digital,,,Twitter,Tuiteros reaccionan ante un video en el que la senadora del Centro Democr\\\\u00e1tico Mar\\\\u00eda del Rosario Guerra paga a un transeunte para que la cargue a trav\\\\u00e9s de una calle innundada,1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1_Z2U8OS22EV4eg15ar9IGGKMP_KDnqZS,andre,https://www.proimagenescolombia.com//secciones/cine_colombiano/peliculas_colombianas/pelicula_plantilla.php?id_pelicula=274,Colombia,sombrilla,cruzando,sombrero,1.0,frente,,adelante,femenino,figura,opinion,digital,False,78.png\\\\n89,Paso del Quind\\\\u00edo I,Jos\\\\u00e9 Alejandro Restrepo,1992,Video,Videoinstalaci\\\\u00f3n,digital,,,\\\\\"Colecci\\\\u00f3n de arte del Banco de la Rep\\\\u00fablica, AP4367\\\\\",\\\\\"El artista se refiere a su obra en la entrevista \\\\u201cHistorias del paisaje durante la colonizaci\\\\u00f3n de Am\\\\u00e9rica\\\\u201d publicada en el MOMA hecha por Madeline Murphy Turner (https://www.moma.org/magazine/articles/430): \\\\u201cDurante los a\\\\u00f1os 90 estuve interesado en la figura de los viajeros europeos, en sus grabados y cr\\\\u00f3nicas. Particularmente la figura de Alexander von Humboldt me pareci\\\\u00f3 interesante por su condici\\\\u00f3n interdisciplinar, sus diarios y libros, por su esp\\\\u00edritu de caminante. En el siglo XIX hubo cientos de cient\\\\u00edficos humanistas, emisarios de los imperios coloniales y aventureros despistados, as\\\\u00ed como recorridos, intensidades, maneras de viajar, que var\\\\u00edan seg\\\\u00fan el viajero; pero en cualquiera de sus modalidades, las cr\\\\u00f3nicas y grabados que dejaron constituyen documentos fascinantes de lo que vieron y representaron (mucho de lo cual tristemente no existe ya, por los dram\\\\u00e1ticos da\\\\u00f1os ecol\\\\u00f3gicos de la deforestaci\\\\u00f3n, la miner\\\\u00eda extractiva, etc.). Hice varios viajes siguiendo los trayectos de Humboldt, los grab\\\\u00e9 en video y organic\\\\u00e9 los materiales en funci\\\\u00f3n de una instalaci\\\\u00f3n. (\\\\u2026) La forma b\\\\u00e1sica piramidal de la instalaci\\\\u00f3n es una s\\\\u00edntesis de la monta\\\\u00f1a. Los diferentes momentos del video son los estadios durante el ascenso: desde los 800 metros sobre el nivel del mar aproximadamente hasta las zonas m\\\\u00e1s elevadas llamadas \\\\u201cp\\\\u00e1ramos\\\\u201d, a 3500 metros. (\\\\u2026) Un gran juego de la historia es qui\\\\u00e9n se ampara de las reglas de representaci\\\\u00f3n y de interpretaci\\\\u00f3n. Paso del Quind\\\\u00edo es el resultado de un juego de mu\\\\u00f1ecas rusas: Humboldt hace personalmente un boceto en 1801; casi 10 a\\\\u00f1os m\\\\u00e1s tarde se lo entrega a Joseph Anton Koch para que en Roma haga un dibujo definitivo y \\\\u00e9ste a su vez se lo entrega a Christian Friedrich Traugott Duttenhofer para que en Stuttgart haga un grabado. El mismo Humboldt particip\\\\u00f3 activando su memoria y su criterio compositivo dando instrucciones precisas: poner aqu\\\\u00ed un tronco ca\\\\u00eddo con orqu\\\\u00eddeas aqu\\\\u00ed y all\\\\u00e1, plantas a contraluz en primer plano, etc. El grabado final publicado en Vues des cordill\\\\u00e8res et monuments des peuples indig\\\\u00e8nes de l\\\\u00b4Amerique (1810) es un palimpsesto, un bricolaje, un asunto de montaje.(\\\\u2026) En toda la iconograf\\\\u00eda (grabados y dibujos), as\\\\u00ed como en las cr\\\\u00f3nicas legadas por los viajeros del siglo XIX por Colombia, es muy com\\\\u00fan la presencia del carguero. Se trataba generalmente de ind\\\\u00edgenas, m\\\\u00e1s tarde negros y mulatos, que cargaban a sus espaldas a personas que no pod\\\\u00edan sortear peligrosos y largos trayectos. Sobre sillas en guadua, con espaldar a 60 grados, cargaban hasta 90 kilos en viajes que duraban hasta 20 d\\\\u00edas. Las rutas acostumbradas inclu\\\\u00edan el m\\\\u00edtico Paso del Quind\\\\u00edo para atravesar la cordillera central en Colombia. En la instalaci\\\\u00f3n no figura el grabado, aunque este a\\\\u00f1o, en 2020, en el Museo del Quai Branly de Par\\\\u00eds, s\\\\u00ed vamos a mostrarlo en f\\\\u00edsico en una exposici\\\\u00f3n que se llama \\\\u00c1 toi appartient le regard (...) La liaison infinie entre les choses por iniciativa de la curadora Christine Barthe.\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1c6FManFcwTuRBKBjKiAsjYo1G_PUhuX0,humboldt,https://www.banrepcultural.org/coleccion-de-arte/obra/paso-del-quindio-i-ap4367,Colombia,,,,,,,,,paisaje,arte,video,False,94.jpg\\\\n90,Paso del Quind\\\\u00edo II,Jos\\\\u00e9 Alejandro Restrepo,1999,Video,Videoinstalaci\\\\u00f3n,digital,,,\\\\\"Jos\\\\u00e9 Alejandro Restrepo, \\\\u201cViajes parad\\\\u00f3jicos\\\\u201d, Arte y etnograf\\\\u00eda. De artistas, textos, contextos, mapeos y paseantes, editado por Pedro Pablo G\\\\u00f3mez, (Bogot\\\\u00e1: Universidad Distrital,  2007) 45-52\\\\\",\\\\\"El artista se refiere a su obra en la entrevista \\\\u201cHistorias del paisaje durante la colonizaci\\\\u00f3n de Am\\\\u00e9rica\\\\u201d publicada en el MOMA hecha por Madeline Murphy Turner (https://www.moma.org/magazine/articles/430): Paso del Quind\\\\u00edo II es una video instalaci\\\\u00f3n de 1999 que surge del encuentro con quiz\\\\u00e1s el \\\\u00faltimo de los cargueros. En la Serran\\\\u00eda del Baud\\\\u00f3, en el departamento del Choc\\\\u00f3 en la costa pac\\\\u00edfica colombiana, subsist\\\\u00eda una familia que a\\\\u00fan ejerc\\\\u00eda este oficio. Avelino Hinestroza (ya fallecido), \\\\u00faltimo de los cargueros, es la persona encargada del transporte de carga y pasajeros por uno de los pocos pasos terrestres entre el interior y la costa, un temible trayecto de selvas intrincadas y adustas monta\\\\u00f1as de gran importancia geopol\\\\u00edtica: el viejo sue\\\\u00f1o de unir los dos litorales y la actual lucha territorial entre paramilitares, militares y guerrilla. Conocer a Avelino, corrobor\\\\u00f3 intuiciones despertadas por viejas cr\\\\u00f3nicas y actualiz\\\\u00f3 una pregunta importante: en realidad, \\\\u00bfqui\\\\u00e9n carga a qui\\\\u00e9n? \\\\u00bfEs el que est\\\\u00e1 arriba el que siempre ejerce el poder? As\\\\u00ed lo anota Humboldt en sus diarios: Dado lo afeminado de los americanos, el que no quiere caminar a pie, se hace cargar. (...) Se dice montar sobre gente como sobre caballos; andar en carguero, como andar en bestia. (...) El silletero camina infinitamente recto y erguido, mientras que el cargado, atr\\\\u00e1s, recostado, presenta una miserable y desamparada figura. (...) Se tiene que estar muy convencido de la habilidad con la que caminan los silleros para no acobardarse en la silla. (...) Muchas veces el carguero hace vueltas durante las cuales la silla est\\\\u00e1 suspendida por varios minutos sobre un profundo precipicio.(...) Hay gente que comete la barbaridad de espolear con tacones a los cargueros, como si fueran animales; pero ellos saben bien c\\\\u00f3mo vengarse por cuanto muchas veces abandonan las sillas y personas en la cordillera, y huyen.(2) Como [Michel] Foucault lo cartografi\\\\u00f3 en diferentes instancias: el poder se define por singularidades. Se trata de una relaci\\\\u00f3n de fuerzas que puede pasar tanto por los \\\\\"\\\\\"dominadores\\\\\"\\\\\" como por los \\\\\"\\\\\"dominados\\\\\"\\\\\". El estado y el momento del poder son siempre locales e inestables. La dial\\\\u00e9ctica amo-esclavo ignora la naturaleza de las fuerzas en juego. Por eso no ve las paradojas y reversibilidades y se contenta con una enga\\\\u00f1osa visibilidad. Tambi\\\\u00e9n se puede consultar: Jos\\\\u00e9 Alejandro Restrepo, \\\\u201cViajes parad\\\\u00f3jicos\\\\u201d, Arte y etnograf\\\\u00eda. De artistas, textos, contextos, mapeos y paseantes, editado por Pedro Pablo G\\\\u00f3mez, (Bogot\\\\u00e1: Universidad Distrital,  2007) 45-52\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Choc\\\\u00f3,1sMsiJDWMvSMWrew9ZY9DmnXOfAxlqemJ,,http://www.colarte.com/colarte/foto.asp?ver=1&idfoto=330895,Colombia,baston,caminando,botas,1.0,abajo,frente,atras,femenino,figura,arte,video,False,79.png\\\\n91,De la serie El Paso del Quind\\\\u00edo II,Jos\\\\u00e9 Alejandro Restrepo,1999,Grabado,Xilograf\\\\u00eda,fotograf\\\\u00eda de video,,,\\\\\"Colecci\\\\u00f3n de arte del Banco de la Rep\\\\u00fablica, AP3672\\\\\",\\\\\"El artista se refiere a su obra en la entrevista \\\\u201cHistorias del paisaje durante la colonizaci\\\\u00f3n de Am\\\\u00e9rica\\\\u201d publicada en el MOMA hecha por Madeline Murphy Turner (https://www.moma.org/magazine/articles/430): Paso del Quind\\\\u00edo II es una video instalaci\\\\u00f3n de 1999 que surge del encuentro con quiz\\\\u00e1s el \\\\u00faltimo de los cargueros. En la Serran\\\\u00eda del Baud\\\\u00f3, en el departamento del Choc\\\\u00f3 en la costa pac\\\\u00edfica colombiana, subsist\\\\u00eda una familia que a\\\\u00fan ejerc\\\\u00eda este oficio. Avelino Hinestroza (ya fallecido), \\\\u00faltimo de los cargueros, es la persona encargada del transporte de carga y pasajeros por uno de los pocos pasos terrestres entre el interior y la costa, un temible trayecto de selvas intrincadas y adustas monta\\\\u00f1as de gran importancia geopol\\\\u00edtica: el viejo sue\\\\u00f1o de unir los dos litorales y la actual lucha territorial entre paramilitares, militares y guerrilla. Conocer a Avelino, corrobor\\\\u00f3 intuiciones despertadas por viejas cr\\\\u00f3nicas y actualiz\\\\u00f3 una pregunta importante: en realidad, \\\\u00bfqui\\\\u00e9n carga a qui\\\\u00e9n? \\\\u00bfEs el que est\\\\u00e1 arriba el que siempre ejerce el poder? As\\\\u00ed lo anota Humboldt en sus diarios: Dado lo afeminado de los americanos, el que no quiere caminar a pie, se hace cargar. (...) Se dice montar sobre gente como sobre caballos; andar en carguero, como andar en bestia. (...) El silletero camina infinitamente recto y erguido, mientras que el cargado, atr\\\\u00e1s, recostado, presenta una miserable y desamparada figura. (...) Se tiene que estar muy convencido de la habilidad con la que caminan los silleros para no acobardarse en la silla. (...) Muchas veces el carguero hace vueltas durante las cuales la silla est\\\\u00e1 suspendida por varios minutos sobre un profundo precipicio.(...) Hay gente que comete la barbaridad de espolear con tacones a los cargueros, como si fueran animales; pero ellos saben bien c\\\\u00f3mo vengarse por cuanto muchas veces abandonan las sillas y personas en la cordillera, y huyen.(2) Como [Michel] Foucault lo cartografi\\\\u00f3 en diferentes instancias: el poder se define por singularidades. Se trata de una relaci\\\\u00f3n de fuerzas que puede pasar tanto por los \\\\\"\\\\\"dominadores\\\\\"\\\\\" como por los \\\\\"\\\\\"dominados\\\\\"\\\\\". El estado y el momento del poder son siempre locales e inestables. La dial\\\\u00e9ctica amo-esclavo ignora la naturaleza de las fuerzas en juego. Por eso no ve las paradojas y reversibilidades y se contenta con una enga\\\\u00f1osa visibilidad.\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Choc\\\\u00f3,1-jZCl35UTRIXndbzx4K7BqZDs_bVBVkT,,https://www.banrepcultural.org/coleccion-de-arte/obra/de-la-serie-paso-del-quindio-ii-ap3672,Colombia,baston,caminando,botas,1.0,abajo,frente,atras,femenino,figura,arte,fotografia,False,96.jpg\\\\n92,\\\\\"Afiche exposici\\\\u00f3n de arte La naturaleza de las cosas: Humboldt, idas y venidas\\\\\",Halim Badawi (Curador),2019,Cartel digital,Afiche publicitario,digital,,,\\\\\"Museo de Arte, Universidad Nacional de Colombia\\\\\",,1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1z5G_HPv-XlQ6fp3hrITug9LTNLMUzKMN,torres,https://www.youtube.com/watch?v=w5rcUiGKtcc,Colombia,baston,descendiendo,sombrero,1.0,abajo,frente,atras,femenino,figura,arte,video,False,80.png\\\\n93,El reverso oscuro de la ciencia ilustrada. La naturaleza de las cosas: Humboldt idas y venidas.,Felipe S\\\\u00e1nchez Villareal,2019,Art\\\\u00edculo de prensa,Rese\\\\u00f1a Exposici\\\\u00f3n de arte,digital,,,\\\\\"Semana 9 de mayo, 2019\\\\\",,1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,16kOHSOj8Ye_QPjEe0KxKcMiGxF1A-9jw,torres,https://www.semana.com/arte/articulo/el-reverso-oscuro-de-la-ciencia-ilustrada-la-naturaleza-de-las-cosas-humboldt-idas-y-venidas/75407/,Colombia,baston,descendiendo,sombrero,1.0,abajo,frente,atras,femenino,figura,opinion,prensa,False,81.png\\\\n94,El carguero,Jean Lucumi,2019,Performance,Performance de larga duraci\\\\u00f3n,cuerpo,,,Laboratorio de creaci\\\\u00f3n Experimenta SUR 2019,\\\\\"Estas son las palabras del artista: '(\\\\u2026) Con esto recuerdo que alguien me pregunto si esa labor del carguero a\\\\u00fan exist\\\\u00eda, mi respuesta fue que s\\\\u00ed, cada persona que trabaja en una constructora y lleva sobre sus hombros bultos de cemento es un carguero, cada persona que ayuda a descargar bultos de comida en una plaza de mercado, por una paga que no es muy buena es un carguero, no lo mal entiendan, no estoy des-meritando la labor del carguero, es m\\\\u00e1s un asunto de encontrar la manera de narrarlo sin ponerlo a repetir la l\\\\u00f3gica colonial de cosificarlo y validarlo desde eso que se espera soporte con su cuerpo'.\\\\\",1991 - 2020,Monta\\\\u00f1as andinas,Colombia,Bogot\\\\u00e1,1Gm-DnTY7o4DGlXpkLcx23_5jx2Ub6zvH,,https://vimeo.com/336947635,Colombia,libro,caminando,libro,1.0,abajo,,,,figura,arte,performance,False,82.png\\\\n95,Gold in the morning,Alfredo Jaar,1985,Fotograf\\\\u00eda,Fotograf\\\\u00eda en tres cajas de luz,film,25,40,\\\\\"Colecci\\\\u00f3n Proyecto Bachu\\\\u00e9, Bogot\\\\u00e1. Foto: Goethe-Institut/Urniator Studio, Juan David Padilla Vega\\\\\",\\\\\"Esta obra fue expuesta en la Exposici\\\\u00f3n La naturaleza de las cosas: Humboldt, idas y venidas\\\\\",1991 - 2020,Amazon\\\\u00eda,Brazil,Serra Pelada,1FrYiwwBUG4ft29s0n5qdCFws8k5Vc_3F,,https://www.proimagenescolombia.com//secciones/cine_colombiano/peliculas_colombianas/pelicula_plantilla.php?id_pelicula=274,Chile,,ascendiendo,objetos,5.0,abajo,,,,figura,arte,fotografia,True,83.png\\\\n96,Death Stranding,Hideo Kojima,2019,Video Juego,Video Juego de mundo abierto,digital,,,Pantallazo del Video Juego,\\\\\"Pantallazo del viedojuego Seath Stranding de Hideo Kojima. No se afirma que exista una relaci\\\\u00f3n de causalidad o de uso de modelos. Interesa el parecido morfol\\\\u00f3gico. En el juego, el carguero tiene la funci\\\\u00f3n de conectar los puntos de una red que se averi\\\\u00f3 debido a cataclismo dist\\\\u00f3pico. Permite resaltar el sentido del carguero como posibilitador del contacto cultural, pol\\\\u00edtico y econ\\\\u00f3mico. Tambi\\\\u00e9n la pertinencia de la met\\\\u00e1fora de la red por encima de la del arriba y el abajo. As\\\\u00ed mismo, permite reflexionar sobre la imagen digital.\\\\\",1991 - 2020,Norteam\\\\u00e9rica,Estados Unidos,Estados Unidos,15xMbQD4cQYWnIKDDQOY7TDlg4o3SmdVV,,https://deathstrandingpc.505games.com/es/,Jap\\\\u00f3n,vestido,ascendiendo,,1.0,arriba,,atras,masculino,figura,arte,digital,True,85.jpg\\\\n97,\\\\\"C\\\\u00f3digo Mendoza, folio 62. \\\\\",Obra colectiva,1541,Pintura,,papel,NI,NI,\\\\\"Oxford, Bodleian Library MS. Arch. Selden. A. 1: https://digital.bodleian.ox.ac.uk/objects/2fea788e-2aa2-4f08-b6d9-648c00486220/\\\\\",\\\\\"Compuesto: Parte A, ff. i-ii, 1-72; Parte B, ss. 73-84. Extensi\\\\u00f3n: i + ii + i + 81 + i + 10 + iii, foliada i-ii, 1-85. Contenido: 'C\\\\u00f3dice Mendoza', manuscrito pict\\\\u00f3rico mexicano (ff. i-ii, 1-72), que incluye: una historia pict\\\\u00f3rica del imperio azteca de 1325-1521 (ff. 1r-17r o 18r); un cat\\\\u00e1logo ilustrado del tributo anual pagado por los pueblos del imperio al \\\\u00faltimo emperador, Moctezuma II (ff. 17v o 18v-54v); un relato ilustrado de los ciclos vitales aztecas, masculino y femenino, desde el nacimiento hasta la muerte (ff. 56v-71v). Tablas del valor comparativo del dinero romano, griego, ingl\\\\u00e9s y franc\\\\u00e9s (ff. 73-84). Encuadernaci\\\\u00f3n: Cartones lisos cubiertos de vitela, ya sea London, c. 1655-1659, o Oxford, c. 1655-1665. Al respecto, v\\\\u00e9ase la entrada sobre el C\\\\u00f3digo Mendoza del proyecto digital \\\\\"\\\\\"LAGLOBAL. Conectando conocimientos\\\\\"\\\\\": https://flacso.edu.ec/laglobal/es/gabinete/artificialia-es/el-codice-mendoza/ \\\\\",1500 - 1750,Monta\\\\u00f1as de Mesoamerica,M\\\\u00e9xico,,1SVV8p9rAIZqzwirjPVNnr-_ejaGk2Ixe,codex,https://digital.bodleian.ox.ac.uk/objects/2fea788e-2aa2-4f08-b6d9-648c00486220/surfaces/365ed7d2-b1df-4277-8da0-b46d47625556/,M\\\\u00e9xico,,,,,,,,,figura,codice,manuscrito,True,104.jpg\\\\n98,\\\\\"Herbarium specimen of Gustavia augusta, sent by Carl Gustaf Dahlberg to Carl Linnaeus from Surinam. \\\\\",\\\\\"Carl Gustaf Dahlberg, Carl Linnaeus\\\\\",1775,Herbario,,,NI,NI,\\\\\"Linnean Society, LINN 863.1 (Herb Linn), p. 120 \\\\\",\\\\\"Este cambio de medio, de cosa a imagen, fue m\\\\u00e1s all\\\\u00e1 de los aspectos pr\\\\u00e1cticos del transporte. Las im\\\\u00e1genes lograron transmitir plantas \\\\\"\\\\\"vivas\\\\\"\\\\\" de una manera que los espec\\\\u00edmenes prensados \\\\\"\\\\\"muertos\\\\\"\\\\\" nunca podr\\\\u00edan esperar, preservando sus colores y frescura, condensando el tiempo y combinando los caracteres accidentales de m\\\\u00faltiples espec\\\\u00edmenes en un tipo perfecto idealizado. Por ejemplo, la Gustavia augusta prensada que Linnaeus recibi\\\\u00f3 de Surinam es un esp\\\\u00e9cimen de herbario perfectamente bueno; sin embargo, como encarnaci\\\\u00f3n de una planta viva, palidece en comparaci\\\\u00f3n con la pintura de la misma especie del artista Manuel Antonio Cort\\\\u00e9s Alcocer, de la expedici\\\\u00f3n de Nueva Granada (Bleichmar, 2012, p. 63)\\\\\",1500 - 1750,Suram\\\\u00e9rica,Surinam,,1SjlSTNfZUA22Ui8oWxPeIwGDmuMasug6,linneo,https://linnean-online.org/docs/Savage_Catalogue_to_the_Linnaean_Herbarium.pdf,Suecia,,,,,,,,,figura,especimen,herbario,True,105.jpg\\\\n99,Gustavia augusta,Manuel Antonio Cort\\\\u00e9s Alcocer,1790,Pintura,Tempera,papel,54,37.5,\\\\\"Archivo del Real Jard\\\\u00edn Bot\\\\u00e1nico (CSIC), Madrid, III, 2673.\\\\\",,1750 - 1810,Suram\\\\u00e9rica,Colombia,,13WfH78-KKzDv0SysxX9InBvA1P03Oh1N,linneo,http://mutis.rjb.csic.es/paginas/laminadibujo.php?lamina=5172,Ecuador,,,,,,,,,figura,ilustraci\\\\u00f3n bot\\\\u00e1nica,lamina,True,106.jpg\\\\n100,Methodus Plantarum Sexualis,Carl Linnaeus,1735,Grabado,grabado,papel,NI,NI,\\\\\"Systema naturae (Leiden, 1735).\\\\\",Gr\\\\u00e1fico que muestra el m\\\\u00e9todo para clasificar las plantas utilizando el sistema sexual de Linneo.,1500 - 1750,Europa central,Suecia,,1rHLYexxHDLMU-oCq3WkPjOwTtvCBZ79T,linneo,https://www.biodiversitylibrary.org/item/15373#page/5/mode/1up,Suecia,,,,,,,,,figura,tabla,libro,True,107.jpg\\\\n101,Armoire for storing herbarium specimens,Carl Linnaeus,1751,Grabado,grabado,papel,NI,NI,\\\\\"Philosophia botanica (Stockholm, 1751), plate 11. Edici\\\\u00f3 cr\\\\u00edtica: (Oxford: 2003, p. 328)\\\\\",\\\\\"El libro Philosophia Botanica de Linnaeus ten\\\\u00eda \\\\\"\\\\\"Diez l\\\\u00e1minas representaban las diferentes variaciones estructurales posibles de cada parte de una planta (...). Una \\\\u00faltima figura suger\\\\u00eda el tipo de armario en el que deb\\\\u00edan almacenarse los espec\\\\u00edmenes del herbario, con veinticuatro compartimentos para organizarlos seg\\\\u00fan las veinticuatro clases linneanas. La observaci\\\\u00f3n linneana, por lo tanto, vincul\\\\u00f3 fuertemente la visi\\\\u00f3n y el lenguaje, relacionando el acto de observaci\\\\u00f3n con t\\\\u00e9rminos especializados para describir cada parte y, en \\\\u00faltima instancia, para clasificar y nombrar espec\\\\u00edmenes en funci\\\\u00f3n de este proceso. La tabla de Ehret y las l\\\\u00e1minas de la Philosophia fueron copiadas o adaptadas en pr\\\\u00e1cticamente todos los libros de texto de bot\\\\u00e1nica de la \\\\u00e9poca, incluido el Curso elemental de bot\\\\u00e1nica de Antonio Palau y Casimiro G\\\\u00f3mez Ortega, utilizado para la instrucci\\\\u00f3n en el Real Jard\\\\u00edn Bot\\\\u00e1nico de Madrid, donde se llevaron a cabo muchas de las expediciones. naturalistas entrenados (Bleichmar, 2012, p. 52 - 53)\\\\\",1750 - 1810,Europa central,Suecia,,1oTu7tRfFQGV0Nn5eS3ZxZj0WqxXHyQrD,linneo,https://handoutset.com/wp-content/uploads/2022/06/Linnaeus-Philosophia-Botanica-Carl-Linnaeus-Stephen-Freer.pdf,Suecia,,,,,,,,,figura,tabla,libro,True,108.jpg\\\\n102,Anthropomorpha,Christian Emmanuel Hoppius,1760,Grabado,grabado,papel,NI,NI,\\\\\"Christian Emmanuel Hoppius: Anthropomorpha. In: Amoenitates Academicae. Band 6, Stockholm, 1763 \\\\\",\\\\\"Esta l\\\\u00e1mina aparece en una Tesis escrita por Emmanuel Hoppius bajo la direcci\\\\u00f3n de Linnaeus, se \\\\\"\\\\\"especula sobre la proximidad entre los humanos y otras criaturas parecidas a los humanos. 27 De derecha a izquierda en el grabado, pasando del pariente m\\\\u00e1s lejano al m\\\\u00e1s cercano del hombre, vemos lo que ahora sabemos que es un chimpanc\\\\u00e9 pigmeo (al que Linneo llam\\\\u00f3 Simia sylvanus). A la izquierda de Simia sylvanus, se encuentra un orangut\\\\u00e1n, al que Linneo llam\\\\u00f3 Simia satyrus. Luego vienen los que, durante el siglo XIX, se denominaron eslabones perdidos: dos especies adicionales del g\\\\u00e9nero Homo: Homo caudatus, el hombre con cola, y Homo troglodytus, el hombre de las cavernas. El homo sapiens no est\\\\u00e1 en esta alineaci\\\\u00f3n. Para resumir, nuevamente, movi\\\\u00e9ndose de derecha a izquierda, vemos: un chimpanc\\\\u00e9 pigmeo (ahora se sabe que es miembro de la familia de los simios), un orangut\\\\u00e1n y dos especies adicionales diferentes de humanos\\\\\"\\\\\". (Senior, 2018, p. 164)\\\\\",1750 - 1810,Europa central,Suecia,,1O9IHw3sf2cYoQ5Cb2KzGd74qKJCgbQtu,linneo,https://wellcomecollection.org/works/wsvn78cm,Suecia,,,,,,,,,figura,tipos humanos,libro,True,109.jpg\\\\n103,Indio Yuri e indio Iquito,An\\\\u00f3nimo. Expedici\\\\u00f3n Malaspina,1789,Pintura,acuarela,papel,18,24.5,\\\\\"Museo de Am\\\\u00e9rica, Madrid. Inv: 02215\\\\\",\\\\\" Del Museo de Am\\\\u00e9rica: \\\\\"\\\\\"Se representa a un indio yuri y a otro iquito, de la cuenca del Amazonas. Bajo cada uno de ellos sendas inscripciones donde se indica la procedencia de cada uno y algunas caracter\\\\u00edsticas sobre su forma de vida y costumbres en general. El indio yuri a la izquierda viste pantal\\\\u00f3n corto y adorno de flores y plumas sobre la cabeza. Sujeta una lanza con una mano y sobre la otra el p\\\\u00e1jaro sol o \\\\\"\\\\\"Yutipichu\\\\\"\\\\\". El indio iquito figura de espaldas y desnudo, con una lanza y una banda de plumas cruzada. Realizado durante la expedici\\\\u00f3n Malaspina, que tuvo lugar entre 1789 y 1794. El comandante Alejandro Malaspina dirigi\\\\u00f3 la expedici\\\\u00f3n organizada por la corona espa\\\\u00f1ola para recorrer sus posesiones americanas, seg\\\\u00fan un plan presentado por el propio marino. El material reunido se encuentra disperso en diferentes instituciones de Espa\\\\u00f1a, Inglaterra, Argentina y Chile\\\\\"\\\\\". \\\\\",1750 - 1810,Amazon\\\\u00eda,Per\\\\u00fa,,1O5OetjjcPUTmFNXx0EogTVAopvKodFIz,bauza,http://ceres.mcu.es/pages/Viewer?accion=4&AMuseo=MAM&Museo=MAM&Ninv=02215,Espa\\\\u00f1a,,,,,,,,,figura,castas,lamina,True,110.jpg\\\\n104,Indio Iquito,An\\\\u00f3nimo. Expedici\\\\u00f3n Malaspina,1789,Pintura,acuarela,papel,17,11,\\\\\"Museo de Am\\\\u00e9rica, Madrid. Inv: 02219\\\\\",\\\\\"Descripci\\\\u00f3n del Museo de Am\\\\u00e9rica:Figura de un indio Iquito desnudo y de espaldas al espectador, con el \\\\u00fanico adorno de una banda de plumas que le cruza la espalda. Tradicionalmente este dibujo, basado en un apunte inicial (N\\\\u00ba Inventario 02215), ha sido atribuido a alguno de los acompa\\\\u00f1antes de Tadeo Hanke durante sus exploraciones en el \\\\u00e1rea del r\\\\u00edo Mara\\\\u00f1\\\\u00f3n, tras el atraque en el puerto de El Callao. Realizado durante la expedici\\\\u00f3n Malaspina, que tuvo lugar entre 1789 y 1794. El comandante Alejandro Malaspina dirigi\\\\u00f3 la expedici\\\\u00f3n organizada por la corona espa\\\\u00f1ola para recorrer sus posesiones americanas, seg\\\\u00fan un plan presentado por el propio marino. El material reunido se encuentra disperso en diferentes instituciones de Espa\\\\u00f1a, Inglaterra, Argentina y Chile\\\\\",1750 - 1810,Amazon\\\\u00eda,Per\\\\u00fa,,1VS7ctdRmQvaOaJMHcnfdAsteq-aC7F2b,bauza,http://ceres.mcu.es/pages/Viewer?accion=4&AMuseo=MAM&Museo=MAM&Ninv=02219,Espa\\\\u00f1a,,,,,,,,,figura,castas,lamina,True,111.jpg\\\\n105,Figura de la relaci\\\\u00f3n de gobierno del Virrey Don Francisco Gil de Lemos y Taboada,Don Francisco Gil de Lemos y Taboada,1796,Manuscrito,acuarela,papel,NI,NI,\\\\\"Gil de Lemos y Taboada, Francisco, and Vallenari. \\\\u201cRelaci\\\\u00f3n de gobierno que el Exmo. Sr. frey Don Francisco Gil de Lemos y Taboada, Virrey del Per\\\\u00fa, entrega a su succesor el Exmo. Se\\\\u00f1or de Vallenari. A\\\\u00f1o de 1796\\\\u201d, 1796: folio 78.\\\\\",\\\\\"Los ejemplares visuales y comentarios etnogr\\\\u00e1ficos sobre las tribus del amazonas peruano habr\\\\u00edan sido relatadas por parte de Hipolito Unuane1 en el Mercurio Peruano, un peri\\\\u00f3dico a cargo de la Sociedad de amigos del pa\\\\u00eds, \\\\u00f3rgano de difusi\\\\u00f3n de las ideas ilustradas y de la administraci\\\\u00f3n del virrey Gil de Taboada y Lemus. As\\\\u00ed mismo, las im\\\\u00e1genes en habr\\\\u00edan sido utilizadas como modelos para ser copiadas en la relaci\\\\u00f3n de gobierno que el virrey Gil de Taboada dirigi\\\\u00f3 a su sucesor el Marques Osorno. Esta relaci\\\\u00f3n, concluida en 1796, fue elaborada por dos de los asesores de este gobernante, Hipo\\\\u0301lito Unanue y el contable Jose\\\\u0301 Ignacio de Lecuanda.\\\\\",1750 - 1810,Amazon\\\\u00eda,Per\\\\u00fa,,1KeyW-S0s089kBaBLyObfxA-y8ZrxwxlE,bauza,https://granatensis.ugr.es/discovery/fulldisplay?docid=alma991009365349704990&context=L&vid=34CBUA_UGR:VU1&search_scope=MyInstitution&tab=Granada&lang=es,Per\\\\u00fa,,,,,,,,,figura,castas,lamina,True,112.jpg\\\\n106,Figura de la relaci\\\\u00f3n de gobierno del Virrey Don Francisco Gil de Lemos y Taboada (Detalle),Don Francisco Gil de Lemos y Taboada,1796,Manuscrito,acuarela,papel,NI,NI,\\\\\"Gil de Lemos y Taboada, Francisco, and Vallenari. \\\\u201cRelaci\\\\u00f3n de gobierno que el Exmo. Sr. frey Don Francisco Gil de Lemos y Taboada, Virrey del Per\\\\u00fa, entrega a su succesor el Exmo. Se\\\\u00f1or de Vallenari. A\\\\u00f1o de 1796\\\\u201d, 1796: folio 78.\\\\\",\\\\\"Los ejemplares visuales y comentarios etnogr\\\\u00e1ficos sobre las tribus del amazonas peruano habr\\\\u00edan sido relatadas por parte de Hipolito Unuane1 en el Mercurio Peruano, un peri\\\\u00f3dico a cargo de la Sociedad de amigos del pa\\\\u00eds, \\\\u00f3rgano de difusi\\\\u00f3n de las ideas ilustradas y de la administraci\\\\u00f3n del virrey Gil de Taboada y Lemus. As\\\\u00ed mismo, las im\\\\u00e1genes en habr\\\\u00edan sido utilizadas como modelos para ser copiadas en la relaci\\\\u00f3n de gobierno que el virrey Gil de Taboada dirigi\\\\u00f3 a su sucesor el Marques Osorno. Esta relaci\\\\u00f3n, concluida en 1796, fue elaborada por dos de los asesores de este gobernante, Hipo\\\\u0301lito Unanue y el contable Jose\\\\u0301 Ignacio de Lecuanda.\\\\\",1750 - 1810,Amazon\\\\u00eda,Per\\\\u00fa,,15YLdurPZTUeVaa4t_vPbSLEufwbPd59-,bauza,https://granatensis.ugr.es/discovery/fulldisplay?docid=alma991009365349704990&context=L&vid=34CBUA_UGR:VU1&search_scope=MyInstitution&tab=Granada&lang=es,Per\\\\u00fa,,,,,,,,,figura,castas,lamina,True,113.jpg\\\\n107,\\\\\"Quadro de Historia Natural, Civil, y Geogr\\\\u00e1fica del Reyno del Per\\\\u00fa. Salvajes (Detalle)\\\\\",Luis Thiebaut. Comisionado por Jos\\\\u00e9 Ignacio Lecuanda,1799,Pintura,\\\\u00d3leo,lienzo,118.5,331,\\\\\"Museo Nacional de Ciencias Naturales, Madrid\\\\\",\\\\\"Es un cuadro \\\\u00fanico por su composici\\\\u00f3n y por el modo de transmitir la informaci\\\\u00f3n. Esta obra conjunta del ilustrado vasco Jos\\\\u00e9 Ignacio de Lequanda y el pintor franc\\\\u00e9s Louis Thi\\\\u00e9baut, que se prolong\\\\u00f3 a lo largo de cinco a\\\\u00f1os, es una aut\\\\u00e9ntica enciclopedia mural del Per\\\\u00fa del siglo XVIII. Un total de  195 escenas y 381 figuras describen la geograf\\\\u00eda f\\\\u00edsica, la historia, la etnograf\\\\u00eda, la fauna y la flora del Virreinato peruano. No se conoce otra obra semejante en la historia colonial europea.\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Per\\\\u00fa,,1IJgZQGZO46e8eqEBpKREQyPlTMBYzsSp,quadro del peru,https://artsandculture.google.com/asset/quadro-de-historia-natural-civil-y-geogr%C3%A1fica-del-reyno-del-per%C3%BA-jos%C3%A9-ignacio-de-lequanda/igE86USP5Q1cYg?hl=es,Peru,baston,,objetos,1.0,abajo,,,,equilibrio,castas,cuadro,True,114.jpg\\\\n108,India en traje de Gala,Vicente Alb\\\\u00e1n,1783,Pintura,\\\\u00d3leo,lienzo,80,109,\\\\\"Museo de Am\\\\u00e9rica, Madrid\\\\\",\\\\\"6 cuadros dedicados a la representaci\\\\u00f3n de tipos humanos, que respond\\\\u00edan a modelos tomados de la sociedad local. Estas figuras, vestidas y adornadas a la moda del momento en la Audiencia de Quito (actual Rep\\\\u00fablica de Ecuador), se situaban en paisajes abiertos en los que se inclu\\\\u00edan, como en este caso, diferentes elementos de la naturaleza aut\\\\u00f3ctona, especialmente \\\\u00e1rboles frutales, de cuyas ramas colgaban unos productos que tambi\\\\u00e9n eran representados abiertos y a gran tama\\\\u00f1o. Con ello se mostraban todas las caracter\\\\u00edsticas de inter\\\\u00e9s para los estudios bot\\\\u00e1nicos. El indio aqu\\\\u00ed representado figura en actitud de transportar el cargamento de frutos a alg\\\\u00fan mercado de cualquier poblaci\\\\u00f3n. A pesar de la apariencia general del ind\\\\u00edgena en el que resalta su modo peculiar de llevar la carga, la lanza en la mano y las pinturas del rostro, referidas a su condici\\\\u00f3n de no \\\\\"\\\\\"civilizado\\\\\"\\\\\", la presencia del machete indica su contacto con los n\\\\u00facleos mestizos. Estas obras est\\\\u00e1n estrechamente relacionadas con los objetivos cient\\\\u00edficos de las expediciones, que en el siglo XVIII recorrieron gran parte de Am\\\\u00e9rica, facilitando numerosa informaci\\\\u00f3n para la clasificaci\\\\u00f3n de los diferentes reinos de la Naturaleza. La serie form\\\\u00f3 parte de las colecciones del Museo de Ciencias Naturales de Madrid y desde \\\\u00e9l pas\\\\u00f3 a integrarse en la Secci\\\\u00f3n Etnogr\\\\u00e1fica del Museo Arqueol\\\\u00f3gico Nacional hasta 1941, a\\\\u00f1o en el que ingres\\\\u00f3 en el reci\\\\u00e9n creado Museo de Am\\\\u00e9rica de Madrid.\\\\\",1750 - 1810,Amazon\\\\u00eda,Ecuador,,1VhWof2ZjhlefQy6fuAnzAhLpLPMdOsIM,alban,http://ceres.mcu.es/pages/Viewer?accion=4&AMuseo=MAM&Museo=MAM&Ninv=00072,Ecuador,,,,,,,,,equilibrio,castas,cuadro,True,115.jpg\\\\n109,India en traje de Gala (Detalle),Vicente Alb\\\\u00e1n,1783,Pintura,\\\\u00d3leo,lienzo,81,110,\\\\\"Museo de Am\\\\u00e9rica, Madrid\\\\\",\\\\\"7 cuadros dedicados a la representaci\\\\u00f3n de tipos humanos, que respond\\\\u00edan a modelos tomados de la sociedad local. Estas figuras, vestidas y adornadas a la moda del momento en la Audiencia de Quito (actual Rep\\\\u00fablica de Ecuador), se situaban en paisajes abiertos en los que se inclu\\\\u00edan, como en este caso, diferentes elementos de la naturaleza aut\\\\u00f3ctona, especialmente \\\\u00e1rboles frutales, de cuyas ramas colgaban unos productos que tambi\\\\u00e9n eran representados abiertos y a gran tama\\\\u00f1o. Con ello se mostraban todas las caracter\\\\u00edsticas de inter\\\\u00e9s para los estudios bot\\\\u00e1nicos. El indio aqu\\\\u00ed representado figura en actitud de transportar el cargamento de frutos a alg\\\\u00fan mercado de cualquier poblaci\\\\u00f3n. A pesar de la apariencia general del ind\\\\u00edgena en el que resalta su modo peculiar de llevar la carga, la lanza en la mano y las pinturas del rostro, referidas a su condici\\\\u00f3n de no \\\\\"\\\\\"civilizado\\\\\"\\\\\", la presencia del machete indica su contacto con los n\\\\u00facleos mestizos. Estas obras est\\\\u00e1n estrechamente relacionadas con los objetivos cient\\\\u00edficos de las expediciones, que en el siglo XVIII recorrieron gran parte de Am\\\\u00e9rica, facilitando numerosa informaci\\\\u00f3n para la clasificaci\\\\u00f3n de los diferentes reinos de la Naturaleza. La serie form\\\\u00f3 parte de las colecciones del Museo de Ciencias Naturales de Madrid y desde \\\\u00e9l pas\\\\u00f3 a integrarse en la Secci\\\\u00f3n Etnogr\\\\u00e1fica del Museo Arqueol\\\\u00f3gico Nacional hasta 1941, a\\\\u00f1o en el que ingres\\\\u00f3 en el reci\\\\u00e9n creado Museo de Am\\\\u00e9rica de Madrid.\\\\\",1750 - 1810,Amazon\\\\u00eda,Ecuador,,1JMJntdo1ANQJm92fKlACx_wuESdfki16,alban,http://ceres.mcu.es/pages/Viewer?accion=4&AMuseo=MAM&Museo=MAM&Ninv=00072,Ecuador,,,,,,,,,equilibrio,castas,cuadro,True,116.jpg\\\\n110,\\\\\"G\\\\u00e9ographie des plantes pr\\\\u00e8s de l\\\\u00b4Equateur. Tableau physique des Andes et pais (sic) voisins, dress\\\\u00e9 sur les observations et mesures faites sur les lieus en 1799-1803\\\\\",Alexander von Humboldt,1803,Pintura,Acuarela,papel,38.7,50.3,\\\\\"Museo Nacional de Colombia, reg: 1204\\\\\",\\\\\"La estad\\\\u00eda de m\\\\u00e1s de un a\\\\u00f1o en la audiencia de Quito, permitir\\\\u00eda a Humboldt y Bonpland consolidar sus investigaciones acerca de la Geograf\\\\u00eda de las plantas. Fue durante su estad\\\\u00eda en Guayaquil donde elabor\\\\u00f3 esta acuarela que acompa\\\\u00f1aba un texto del que era parte \\\\u00edntegra. All\\\\u00ed se realizaba una nivelaci\\\\u00f3n geogr\\\\u00e1fica de las plantas por medio de un corte vertical que hac\\\\u00eda visible sus ubicaciones relativas en relaci\\\\u00f3n con la altitud. Esa imagen ha sido calificada como un paradigma de la cartograf\\\\u00eda vertical y de la visualizaci\\\\u00f3n cient\\\\u00edfica. Humboldt envi\\\\u00f3 estos materiales a Jos\\\\u00e9 Celestino Mutis a trav\\\\u00e9s de Juan P\\\\u00edo Mont\\\\u00fafar (1758\\\\u20131819), marqu\\\\u00e9s de Selva Alegre, quien a su vez los envi\\\\u00f3, con dos meses de retraso, por medio de Francisco Jos\\\\u00e9 de Caldas. La obra ser\\\\u00eda publicada por Humboldt en 1807 en Paris acompa\\\\u00f1ada de un grabado basado en la acuarela original. Tambi\\\\u00e9n ser\\\\u00e1 publicada una traducci\\\\u00f3n al espa\\\\u00f1ol elaborada por Jorge Tadeo Lozano en 1809 en el Semanario del Nuevo Reino de Granada editado por Jos\\\\u00e9 Francisco Caldas. En el \\\\u201cPrefaci\\\\u00f3n\\\\u201d elaborado por Caldas para contextualizar la obra de Humboldt se lee que no se la pudo acompa\\\\u00f1ar con la l\\\\u00e1mina por \\\\u201cfalta de planchas y de Gravadores\\\\u201d y se ofrecen los servicios de don Antonio Garc\\\\u00eda para calcar una copia exacta y as\\\\u00ed \\\\u201csacar todo el fruto que promete la Geograf\\\\u00eda de las plantas\\\\u201d.\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Ecuador,,13m_v9SDAsmO5VzaNraDTzRLlc5q3JkGd,vertical,https://artsandculture.google.com/asset/geograf%C3%ADa-de-las-plantas-cerca-del-ecuador/5gH6hpMRfWxlfQ?hl=es,Alemania,,,,,,,,,fondo,mapa,lamina,True,117.jpg\\\\n111,\\\\\"G\\\\u00e9ographie des plantes equinoxiales. Essai sur la g\\\\u00e9ographie des plantes, accompagn\\\\u00e9 d'un tableau physique des r\\\\u00e9gions \\\\u00e9quinoxiales.\\\\\",Alexander von Humboldt,1805,Grabado,Grabado,papel,NI,NI,\\\\\"G\\\\u00e9ographie des plantes equinoxiales. Essai sur la g\\\\u00e9ographie des plantes, accompagn\\\\u00e9 d'un tableau physique des r\\\\u00e9gions \\\\u00e9quinoxiales. Paris: chez Fr. Schoell; T\\\\u00fcbingen: chez J. G. Cotta 1805/7.\\\\\",\\\\\"La versi\\\\u00f3n Europea en franc\\\\u00e9s de 1805, grabada y publicada en blanco y negro y en color (1807, Paris: Levrault, Schoell et Compagnie) con reimpresi\\\\u00f3n en franc\\\\u00e9s (Schoell) y versi\\\\u00f3n alemana en 1807 (T\\\\u00fcbingen: Cotta). Humboldtiana Neogranadina, II, p. 246.\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Ecuador,,11lxn-i3mYui54DklWTCRZxQbwBupdkBe,vertical,https://www.davidrumsey.com/luna/servlet/detail/RUMSEY~8~1~280014~90053203:Geographie-des-Plantes-Equinoxiales,Alemania,,,,,,,,,fondo,mapa,libro,True,118.jpg\\\\n112,\\\\\"Vues de la Base mesure\\\\u00e9 dans la plaine d'Yarouqui, depuis Carabourou jusqu'a Oyambaro\\\\\",Charles-Marie La Condamine,1751,Grabado,Grabado,papel,NI,NI,\\\\\"La Condamine, Charles-Marie de (1701-1774) Auteur du texte. 1751. Journal du voyage fait par ordre du roi, a l\\\\u2019\\\\u00c9quateur, servant d\\\\u2019introduction historique a la Mesure des trois premiers degr\\\\u00e9s du m\\\\u00e9ridien . Par M. de La Condamine. https://gallica.bnf.fr/ark:/12148/bpt6k1051290z.\\\\\",\\\\\" En Humboldt\\\\u2019s Pictorial Science: An Analysis of the Tableau physique des Andes et pays voisins Afirma, Sylvie Romanowski afirma: \\\\u201cIt is as if Humboldt looked at the correctly scaled representation of Chimborazo, zoomed in on two of La Condamine\\\\u2019s tiny mountains, and blew them up to large proportions\\\\u201d.\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Ecuador,,1R0pblEdeWjhKz8FBvkanEkHEJSZ0acAs,vertical,https://gallica.bnf.fr/ark:/12148/bpt6k1051290z/f71.item,Francia,,,,,,,,,fondo,vista,libro,True,119.jpg\\\\n113,Coupe verticale des montagnes vivaroises. Limites respectives des climats des plantes et mesures barom\\\\u00e9triques de leur hauteur sur le niveau de la M\\\\u00e9diterran\\\\u00e9e,Abb\\\\u00e9 Jean-Louis Giraud-Soulavie,1784,Grabado,Grabado,papel,NI,NI,\\\\\"G\\\\u00fcttler, Nils, \\\\u00abDrawing the Line: Mapping Cultivated Plants and Seeing Nature in Nineteenth-Century Plant Geography\\\\u00bb. New Perspectives on the History of Life Sciences and Agriculture. eds. Denise Phillips y Sharon Kingsland. Basel: Springer, 2015. 27-52.\\\\\",\\\\\"El mapa muestra la sucesi\\\\u00f3n de flora delimitada por gradientes clim\\\\u00e1ticos latitudinales.G\\\\u00fcttler argumenta que este fue un modelo para el mapa de Humboldt. G\\\\u00fcttler, Nils, \\\\u00abDrawing the Line: Mapping Cultivated Plants and Seeing Nature in Nineteenth-Century Plant Geography\\\\u00bb. New Perspectives on the History of Life Sciences and Agriculture. eds. Denise Phillips y Sharon Kingsland. Basel: Springer, 2015. 27-52.\\\\\",1750 - 1810,Europa central,Francia,,14tSvnfRGsrnfM-0WIGO5--JYqV8YxZYh,vertical,https://en.wikipedia.org/wiki/Jean-Louis_Giraud_Soulavie#/media/File:Soulavie_Chart.jpg,Francia,,,,,,,,,fondo,vista,libro,True,120.jpg\\\\n114,Memoria sobre la distribuci\\\\u00f3n de las plantas que se cultivan en la vecindad del Equador,Francisco Jos\\\\u00e9 de Caldas,1803,Pintura,Dibujo,papel,NI,NI,\\\\\"Nieto Olarte, Mauricio. La obra cartogr\\\\u00e1fica de Francisco Jos\\\\u00e9 de Caldas. Bogota: Uniandes-ACCEFYN-ACH-ICANH, 2006\\\\\",\\\\\"Cuando Caldas envi\\\\u00f3 a mutis la copia de la acuarela y el manuscrito de Humboldt en abril de 1802, a\\\\u00f1adi\\\\u00f3 un texto suyo al que se refiri\\\\u00f3 como \\\\u201cfriolera\\\\u201d, all\\\\u00ed le comunicaba al director de la Expedici\\\\u00f3n bot\\\\u00e1nica que ven\\\\u00eda trabajando de manera independiente en un tema semejante al del prusiano que tambi\\\\u00e9n estaba acompa\\\\u00f1ado de una imagen manuscrita con perfiles y elevaciones barom\\\\u00e9tricas de plantas. Este texto es la continuaci\\\\u00f3n del Plan de un viaje proyectado de Quito a la Am\\\\u00e9rica setentrional que Caldas hab\\\\u00eda propuesto a Mutis exactamente un a\\\\u00f1o antes en abril de 1802.\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Ecuador,,1QKLXNoMeYvEYn-CR-XKqWkKVyHDfuYFB,vertical,http://www.saebogota.unal.edu.co/DIRACAD/catedras/2016_II/huellas_2016_II/docs/Mapas%20de%20Caldas-2016.pdf,Colombia,,,,,,,,,fondo,mapa,manuscrito,True,121.jpg\\\\n115,\\\\\"Nivelaci\\\\u00f3n de 30 especies de plantas puestas sobre la vista occidental de Imbabura, monta\\\\u00f1as en las cercan\\\\u00edas de Ibarra.\\\\\",Francisco Jos\\\\u00e9 de Caldas,1803,Pintura,Dibujo,papel,NI,NI,\\\\\"Nieto Olarte, Mauricio. La obra cartogr\\\\u00e1fica de Francisco Jos\\\\u00e9 de Caldas. Bogota: Uniandes-ACCEFYN-ACH-ICANH, 2007\\\\\",\\\\\"Tambi\\\\u00e9n le envi\\\\u00f3 una imagen en septiembre de 1802, es decir, seis meses antes de conocer la acuarela de Humboldt.  Esta coincidencia entre los programas de investigaci\\\\u00f3n ha llevado a la historiograf\\\\u00eda de la ciencia contempor\\\\u00e1nea a calificar a Humboldt y a Caldas como \\\\u201cgestores simult\\\\u00e1neos\\\\u201d  que ejercieron entre si una \\\\u201cinfluencia mutua\\\\u201d para la postulaci\\\\u00f3n de la disciplina cient\\\\u00edfica de la fitogeograf\\\\u00eda o la Geograf\\\\u00eda de las plantas.\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Ecuador,,166SgJwBEkWR9oUvIxW7wuq83ljbTDswd,vertical,http://www.saebogota.unal.edu.co/DIRACAD/catedras/2016_II/huellas_2016_II/docs/Mapas%20de%20Caldas-2016.pdf,Colombia,,,,,,,,,fondo,mapa,manuscrito,True,122.jpg\\\\n116,\\\\\"Perfil [Vista] de los Andes, de Loja a Quito\\\\\",Francisco Jos\\\\u00e9 de Caldas,1804,Pintura,Dibujo,papel,NI,NI,\\\\\"Nieto Olarte, Mauricio. La obra cartogr\\\\u00e1fica de Francisco Jos\\\\u00e9 de Caldas. Bogota: Uniandes-ACCEFYN-ACH-ICANH, 2008\\\\\",\\\\\"En informes y memorias Caldas proyecta la elaboraci\\\\u00f3n de una Carta bot\\\\u00e1nica del Reino. As\\\\u00ed, para este proyecto tambi\\\\u00e9n prepara un acompa\\\\u00f1amiento visual. Dice que la obra tendr\\\\u00e1 19 l\\\\u00e1minas de las cuales hay elaboradas a esa fecha. Adem\\\\u00e1s, detalla la manera como ser\\\\u00e1 elaborada la Carta Bot\\\\u00e1nica del Reino. Afirma que \\\\u00abel lugar que ocupan los pueblos, las villas, las ciudades, las colinas, los arroyos, lo llenan las producciones vegetales del Virreinato\\\\u00bb (Caldas, Informe 220). Tambi\\\\u00e9n afirma que no solo manifestar\\\\u00e1 la localidad de las plantas, sino que ha formado perfiles de los Andes que suponen \\\\u00abel ojo del observador a muchas leguas de distancia al Occidente de esta famosa cadena de monta\\\\u00f1as\\\\u00bb y \\\\u00ablas proyecta al Oriente sobre un fondo azulado mezclado de nubes\\\\u00bb. De esta manera espera mostrar \\\\u00abla fisonom\\\\u00eda de las puntas m\\\\u00e1s elevadas, los volcanes, los pueblos, las ciudades, los valles, las plantas proyectadas a la altura en que nacen\\\\u00bb y posibilitar que de una \\\\u00absimple ojeada\\\\u00bb, se pueda saber la \\\\u00abaltura sobre el nivel del Oc\\\\u00e9ano y qu\\\\u00e9 latitud tiene cada ciudad, cada punto de estos perfiles\\\\u00bb (Caldas, Informe 220). Entre los documentos cartogr\\\\u00e1ficos de Caldas se pueden observar 2 series de l\\\\u00e1minas con perfiles de los Andes que probablemente est\\\\u00e9n relacionadas con las mencionadas en su informe. En la l\\\\u00e1mina de la primera serie llamada Perfil [Vista] de los Andes, de Loja a Quito, se puede observar al volc\\\\u00e1n Chimborazo coronando el panorama.\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Ecuador,,1hOZFYUCHjJVcBwBGwDeiehvZJF_XFUfb,vertical,http://www.saebogota.unal.edu.co/DIRACAD/catedras/2016_II/huellas_2016_II/docs/Mapas%20de%20Caldas-2016.pdf,Colombia,,,,,,,,,fondo,mapa,manuscrito,True,123.jpg\\\\n117,Ceroxylon Andicola,Alexander von Humboldt,1808,Grabado,Grabado,papel,NI,NI,\\\\\"Alexander von Humboldt y Aim\\\\u00e9 Bonpland, Voyage de Humboldt et Bonpland. Sixi\\\\u00e8me partie, Botanique. Plantes \\\\u00e9quinoxiales recueillies au Mexique, dans l\\\\u2019\\\\u00eele de Cuba, dans les provinces de Caracas, de Cumana et de Barcelone; aux Andes de la Nouvelle-Grenade. De Quito et du P\\\\u00e9rou, et sur les bords du Rio-Negro, de l \\\\u2019Or\\\\u00e9noque et de la rivi\\\\u00e8re des Amazonesc (Humboldt y Bonpland, 1808-1809) I: II.\\\\\",\\\\\"En Plantes \\\\u00e9quinoxiales de 1808 se puede encontrar una justificaci\\\\u00f3n de car\\\\u00e1cter geogr\\\\u00e1fico para haber seguido la ruta del camino del Quind\\\\u00edo. Esta es la de que Mutis, a quien dedican el libro con un cuidado frontispicio, no pudo visitarla. Los naturalistas refieren haber encontrado en este paisaje \\\\u201cvegetales muy valiosos\\\\u201d . Tal vez una de las plantas que m\\\\u00e1s les hayan interesado sea la Palma de cerca o Ceroxylon andicola. Sobre esta planta es el primer art\\\\u00edculo de Plantes \\\\u00e9quinoxiales, una transcripci\\\\u00f3n de la memoria le\\\\u00edda por Bonpland en la primera clase del Institut France, el 14 de brumario del a\\\\u00f1o 13, es decir, 14 de noviembre de 1804. La elevaci\\\\u00f3n sobre el nivel del mar en la que encontraron esta planta presenta para Humboldt y Bonpland \\\\u201cun fen\\\\u00f3meno muy sorprendente para la geograf\\\\u00eda de los vegetales\\\\u201d. Esto es porque las palmas suelen encontrarse m\\\\u00e1ximo a 900 metros sobre el nivel del mar, mientras que la Ceroxylon puede hallarse entre los 1750 metros hasta los 2800 metros. \\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1tTRJKyer6ECMT5tpoWROzcR26i2z_EsF,vertical,https://gallica.bnf.fr/ark:/12148/bpt6k61310k/f2.item,Alemania,,,,,,,,,figura,ilustraci\\\\u00f3n bot\\\\u00e1nica,libro,True,124.jpg\\\\n118,Jos\\\\u00e9 Celestino Mutis,Alexander von Humboldt,1808,Grabado,Grabado,papel,NI,NI,\\\\\"Alexander von Humboldt y Aim\\\\u00e9 Bonpland, Voyage de Humboldt et Bonpland. Sixi\\\\u00e8me partie, Botanique. Plantes \\\\u00e9quinoxiales recueillies au Mexique, dans l\\\\u2019\\\\u00eele de Cuba, dans les provinces de Caracas, de Cumana et de Barcelone; aux Andes de la Nouvelle-Grenade. De Quito et du P\\\\u00e9rou, et sur les bords du Rio-Negro, de l \\\\u2019Or\\\\u00e9noque et de la rivi\\\\u00e8re des Amazonesc (Humboldt y Bonpland, 1808-1809) I: II.\\\\\",\\\\\"En Plantes \\\\u00e9quinoxiales de 1808 se puede encontrar una justificaci\\\\u00f3n de car\\\\u00e1cter geogr\\\\u00e1fico para haber seguido la ruta del camino del Quind\\\\u00edo. Esta es la de que Mutis, a quien dedican el libro con un cuidado frontispicio, no pudo visitarla. Los naturalistas refieren haber encontrado en este paisaje \\\\u201cvegetales muy valiosos\\\\u201d . Tal vez una de las plantas que m\\\\u00e1s les hayan interesado sea la Palma de cerca o Ceroxylon andicola. Sobre esta planta es el primer art\\\\u00edculo de Plantes \\\\u00e9quinoxiales, una transcripci\\\\u00f3n de la memoria le\\\\u00edda por Bonpland en la primera clase del Institut France, el 14 de brumario del a\\\\u00f1o 13, es decir, 14 de noviembre de 1804. La elevaci\\\\u00f3n sobre el nivel del mar en la que encontraron esta planta presenta para Humboldt y Bonpland \\\\u201cun fen\\\\u00f3meno muy sorprendente para la geograf\\\\u00eda de los vegetales\\\\u201d. Esto es porque las palmas suelen encontrarse m\\\\u00e1ximo a 900 metros sobre el nivel del mar, mientras que la Ceroxylon puede hallarse entre los 1750 metros hasta los 2800 metros. \\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1VjXEmZenyt9ZFisBVaD1eGgYDPdd1NUm,vertical,https://gallica.bnf.fr/ark:/12148/bpt6k61310k/f2.item,Alemania,,,,,,,,,figura,efigie,libro,True,125.jpg\\\\n119,P\\\\u00e1gina del diario de Humboldt,Alexander von Humboldt,1802,Pintura,Dibujo,papel,NI,NI,\\\\\"Tageb\\\\u00fccher der Amerikanischen Reise VIIa/b: Rio de la Magdalena \\\\u2013 Bogota \\\\u2013 Zuindice \\\\u2013 Popayan \\\\u2013 Quito (Antisana, Pichincha) Pasto Volcan, p. 190 Zolima p 164. Accedido 11 de abril de 2023. https://digital.staatsbibliothek-berlin.de/werkansicht/?PPN=PPN779883861&PHYSID=PHYS_0001&view=overview-tiles.\\\\\",\\\\\"Los cargueros en efecto ofician como gu\\\\u00edas y permiten atravesar el dif\\\\u00edcil camino, no solo por su fuerza f\\\\u00edsica, sino por el conocimiento que tienen del paisaje que habitan. Ellos conocen los signos del terreno, del clima y la utilidad de las plantas. El mismo carguero que en la imagen se queda mirando al espectador y que tiene la silla vac\\\\u00eda, lleva en sus manos unas hojas de Bijao que, el relato nos comenta, m\\\\u00e1s adelante servir\\\\u00e1n para hacer las tiendas y resguardarse de la lluvia. Sobre estas hab\\\\u00eda hecho un dibujo en el diario. \\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1qPcVFGr1-0UcozUfHC2QI9yiuDHvd_im,humboldt,https://digital.staatsbibliothek-berlin.de/werkansicht?PPN=PPN779883861&PHYSID=PHYS_0419&view=overview-toc&DMDID=DMDLOG_0001,Alemania,,,,,,,,,figura,diario,manuscrito,True,126.jpg\\\\n120,P\\\\u00e1gina del diario de Humboldt,Alexander von Humboldt,1802,Pintura,Dibujo,papel,NI,NI,\\\\\"Tageb\\\\u00fccher der Amerikanischen Reise VIIa/b: Rio de la Magdalena \\\\u2013 Bogota \\\\u2013 Zuindice \\\\u2013 Popayan \\\\u2013 Quito (Antisana, Pichincha) Pasto Volcan, p. 190 Zolima p 164. Accedido 11 de abril de 2023. https://digital.staatsbibliothek-berlin.de/werkansicht/?PPN=PPN779883861&PHYSID=PHYS_0001&view=overview-tiles.\\\\\",\\\\\"En la parte derecha, en primer plano de la V l\\\\u00e1mina de Vues, aparece un Fique o Agave florecido. Esta planta permite la elaboraci\\\\u00f3n de las cuerdas que amarran las hojas de Bijao  y aseguran las tiendas. En los diarios aparecen unos dibujos de las tiendas especificando el modo de amarrarlas para que se sostengan.  En el relato se consideran estas plantas desde el punto de vista de su ubicaci\\\\u00f3n geogr\\\\u00e1fica en relaci\\\\u00f3n con la altitud, desde el punto de vista taxon\\\\u00f3mico al ser categorizados en familias y especies, y desde el punto de vista de su utilidad al ser mostrados sus usos industriales. \\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,12H-NCnUe5qvShda_fbGhrGO80oUmwOpw,humboldt,https://digital.staatsbibliothek-berlin.de/werkansicht?PPN=PPN779883861&PHYSID=PHYS_0418&view=overview-toc&DMDID=DMDLOG_0001,Alemania,,,,,,,,,figura,diario,manuscrito,True,127.jpg\\\\n121,Passage du Quindiu dans le Cordill\\\\u00e8re des Andes (Detalle Agave),Alexander von Humboldt. Christian Friedrich Duttenhofer (Grab.). Joseph Anton Koch (Dibj.),1810,Grabado,Grabado,papel,NI,NI,\\\\\"Vues des Cordill\\\\u00e8res, et Monuments des Peuples indig\\\\u00e8nes de l\\\\u2019Am\\\\u00e9rique, (Par\\\\u00eds: Schoell, 1810)\\\\\",\\\\\"la l\\\\u00e1mina V de Vues acerca del paso del Quind\\\\u00edo ha sido utilizada en numerosas ocasiones como ejemplo de las concepciones de Humboldt acerca de las relaciones entre el arte y la ciencia con relaci\\\\u00f3n a la posibilidad de presentar sensiblemente la naturaleza vertical americana. El lazo de complementariedad entre las im\\\\u00e1genes tambi\\\\u00e9n se fundamenta en la importancia que tuvo la vegetaci\\\\u00f3n del Quind\\\\u00edo para la formulaci\\\\u00f3n de la Geograf\\\\u00eda de las plantas. Algo que es reafirmado por el viaje que Caldas nunca pudo realizar a los Andes del Quind\\\\u00edo para complementar las observaciones de Humboldt, que nos permite imaginarnos una imagen sobre este paisaje que no pudo ser hecha. Oliver Lubrich se refiere a la l\\\\u00e1mina V de Vues como un dibujo de perspectiva m\\\\u00faltiple dise\\\\u00f1ado desde las posiciones de diferentes disciplinas, y abierta a diversas lecturas. La imagen puede ofrecer gozo est\\\\u00e9tico, a la vez que informaciones relevantes a bot\\\\u00e1nicos, ge\\\\u00f3logos, mineralogistas y meteor\\\\u00f3logos. Esto porque se ven all\\\\u00ed plantas, paisajes, formaciones de nubes, perfiles geol\\\\u00f3gicos, poblados, un valle interandino, la cordillera oriental, m\\\\u00faltiples se\\\\u00f1as que dan cuenta del clima, la vegetaci\\\\u00f3n, la ubicaci\\\\u00f3n y las actividades sociales y productivas que se llevan a cabo con las plantas y los recursos naturales en general. Adem\\\\u00e1s, cuenta una historia de car\\\\u00e1cter sociol\\\\u00f3gico y \\\\u201cpol\\\\u00edticamente explosiva\\\\u201d relacionada con los cargueros que conforman la fila de viajeros y que escenifican una serie de oposiciones y complejidades propias del monta\\\\u00f1oso mundo Andino, de la sociedad colonial y de una sociedad global en proceso de transformaci\\\\u00f3n. All\\\\u00ed vemos un carguero que mira fijamente al espectador mientras camina con su silla vac\\\\u00eda, probablemente aquella que debi\\\\u00f3 ocupar Humboldt, quien rehus\\\\u00f3 usar el servicio. En este sentido, podr\\\\u00eda decirse que la imagen es \\\\u201ccuadro o escena de naturaleza\\\\u201d que presenta una organizaci\\\\u00f3n cuidadosa del paisaje de manera que variados fen\\\\u00f3menos naturales y culturales interact\\\\u00faen y den cuenta de un funcionamiento org\\\\u00e1nico. Sin embargo, la imagen no puede ser le\\\\u00edda sin tener en cuenta sus relaciones y tensiones con el texto escrito que la describe que se encuentra en Vues\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1fq3VTe12JBIqSq3Kx-mYy_zqFlOckVUF,humboldt,https://library.si.edu/digital-library/book/vuesdescordille2humb,Alemania,,,,,,,,,equilibrio,vista,libro,True,128.jpg\\\\n122,Passage du Quindiu dans le Cordill\\\\u00e8re des Andes (Detalle Villanero con Bijao),Alexander von Humboldt. Christian Friedrich Duttenhofer (Grab.). Joseph Anton Koch (Dibj.),1810,Grabado,Grabado,papel,NI,NI,\\\\\"Vues des Cordill\\\\u00e8res, et Monuments des Peuples indig\\\\u00e8nes de l\\\\u2019Am\\\\u00e9rique, (Par\\\\u00eds: Schoell, 1810)\\\\\",\\\\\"la l\\\\u00e1mina V de Vues acerca del paso del Quind\\\\u00edo ha sido utilizada en numerosas ocasiones como ejemplo de las concepciones de Humboldt acerca de las relaciones entre el arte y la ciencia con relaci\\\\u00f3n a la posibilidad de presentar sensiblemente la naturaleza vertical americana. El lazo de complementariedad entre las im\\\\u00e1genes tambi\\\\u00e9n se fundamenta en la importancia que tuvo la vegetaci\\\\u00f3n del Quind\\\\u00edo para la formulaci\\\\u00f3n de la Geograf\\\\u00eda de las plantas. Algo que es reafirmado por el viaje que Caldas nunca pudo realizar a los Andes del Quind\\\\u00edo para complementar las observaciones de Humboldt, que nos permite imaginarnos una imagen sobre este paisaje que no pudo ser hecha. Oliver Lubrich se refiere a la l\\\\u00e1mina V de Vues como un dibujo de perspectiva m\\\\u00faltiple dise\\\\u00f1ado desde las posiciones de diferentes disciplinas, y abierta a diversas lecturas. La imagen puede ofrecer gozo est\\\\u00e9tico, a la vez que informaciones relevantes a bot\\\\u00e1nicos, ge\\\\u00f3logos, mineralogistas y meteor\\\\u00f3logos. Esto porque se ven all\\\\u00ed plantas, paisajes, formaciones de nubes, perfiles geol\\\\u00f3gicos, poblados, un valle interandino, la cordillera oriental, m\\\\u00faltiples se\\\\u00f1as que dan cuenta del clima, la vegetaci\\\\u00f3n, la ubicaci\\\\u00f3n y las actividades sociales y productivas que se llevan a cabo con las plantas y los recursos naturales en general. Adem\\\\u00e1s, cuenta una historia de car\\\\u00e1cter sociol\\\\u00f3gico y \\\\u201cpol\\\\u00edticamente explosiva\\\\u201d relacionada con los cargueros que conforman la fila de viajeros y que escenifican una serie de oposiciones y complejidades propias del monta\\\\u00f1oso mundo Andino, de la sociedad colonial y de una sociedad global en proceso de transformaci\\\\u00f3n. All\\\\u00ed vemos un carguero que mira fijamente al espectador mientras camina con su silla vac\\\\u00eda, probablemente aquella que debi\\\\u00f3 ocupar Humboldt, quien rehus\\\\u00f3 usar el servicio. En este sentido, podr\\\\u00eda decirse que la imagen es \\\\u201ccuadro o escena de naturaleza\\\\u201d que presenta una organizaci\\\\u00f3n cuidadosa del paisaje de manera que variados fen\\\\u00f3menos naturales y culturales interact\\\\u00faen y den cuenta de un funcionamiento org\\\\u00e1nico. Sin embargo, la imagen no puede ser le\\\\u00edda sin tener en cuenta sus relaciones y tensiones con el texto escrito que la describe que se encuentra en Vues\\\\\",1750 - 1810,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1ta7jHN2mlzvnjAuXCdITG90COHLUZFfq,humboldt,https://library.si.edu/digital-library/book/vuesdescordille2humb,Alemania,bijao,caminando,libro,5.0,espectador,frente,atras,masculino,equilibrio,vista,libro,True,129.jpg\\\\n123,\\\\\"Humanitas, Literae, Fruges: Le Commerce et les Arts consolant l'Am\\\\u00e9rique des maux de la Conqu\\\\u00eate\\\\\",\\\\\"Fran\\\\u00e7ois G\\\\u00e9rard (Dibj.) Barth\\\\u00e9lemy, Joseph Fulcran Roger (Grab.)\\\\\",1815,Grabado,Grabado,papel,40,27.2,\\\\\"Humboldt, Alexander von. 1814. Atlas g\\\\u00e9ographique et physique des r\\\\u00e9gions \\\\u00e9quinoxiales du Nouveau Continent, fond\\\\u00e9 sur des observations astronomiques, des mesures trigonom\\\\u00e9triques et des nivellemens barom\\\\u00e9triques. Voyage de Humboldt et Bonpland, Premi\\\\u00e8re Partie. Paris: Librairie de Gide.\\\\\",\\\\\"Otmar Ette sobre esta alegor\\\\u00eda: \\\\\"\\\\\"el famoso grabado del Atlas geographique et physique fue realizado por Barth\\\\u00e9lemy Roger seg\\\\u00fan un dibujo hecho por Fran\\\\u00e7ois G\\\\u00e9rard, amigo de Humboldt y originalmente hab\\\\u00eda sido concebido como frontispicio para la obra de viaje completa o por lo menos para el relato de viaje en s\\\\u00ed, la Relation historique. Tambi\\\\u00e9n aqu\\\\u00ed se pone de relieve, de qu\\\\u00e9 manera en las entregas de Atlas y del Examen critique, cuya creaci\\\\u00f3n acompa\\\\u00f1a toda la obra de viaje, confluyen los hilos de la obra de investigaci\\\\u00f3n americana en toda su multiformidad. En el anexo al primer tomo de su relato de viaje, Humboldt escribi\\\\u00f3 el siguiente comentario sobre la representaci\\\\u00f3n aleg\\\\u00f3rica, para la que G\\\\u00e9rard hab\\\\u00eda elegido el t\\\\u00edtulo \\\\u00abL\\\\u2019Am\\\\u00e9rique relev\\\\u00e9e de sa ruine par le commerce et par l\\\\u2019industrie\\\\u00bb: El frontispicio, grabado seg\\\\u00fan un dibujo de G\\\\u00e9rard, representa Am\\\\u00e9rica; Minerva y Mercurio la consuelan despu\\\\u00e9s de las atrocidades sufridas en la conquista. Debajo del grabado se encuentran inscritas las palabras humanitas, litterae, fruges. Plinius el Menor le escribe a Maximus, el cuestor de Bitinia, cuando fue nombrado gobernador de la provincia de Achaia: \\\\u00abTome en consideraci\\\\u00f3n que los griegos les regalaron a los dem\\\\u00e1s pueblos la cultura, la ciencia y el alimento. Y son estos bienes los que Am\\\\u00e9rica le debe al Viejo Continente. Las armas, los atuendos, las alhajas, las edificaciones y las estatuas han sido reproducidas con gran precisi\\\\u00f3n y fidelidad. Aunque en esta representaci\\\\u00f3n de tendencia anticua da se perciba un tono euroc\\\\u00e9ntrico, en este frontispicio con el Chimborazo como tel\\\\u00f3n de fondo, que es la monta\\\\u00f1a humboldtiana por excelencia, salta a la vista el v\\\\u00ednculo entre las mitolog\\\\u00edas del Viejo y del Nuevo Mundo, de las que el fil\\\\u00f3logo y trotamundos prusiano se ocupara una y otra vez en sus obras. En esta conjunci\\\\u00f3n de la cita de Plinio y la creaci\\\\u00f3n art\\\\u00edstica de la alegoresiscitada, se nombran adem\\\\u00e1s las tres grandes metas de Alexander von Humboldt: el fomento del humanismo y la educaci\\\\u00f3n, de la ciencia y la literatura, y adem\\\\u00e1s de la econom\\\\u00eda y la fortuna. Seg\\\\u00fan Humboldt, estos valores y estas metas tienen su validez tambi\\\\u00e9n y precisamente para aquel mundo, que Europa anta\\\\u00f1o sometiera bajo el yugo colonial\\\\\"\\\\\" Ette, Ottmar. 2009. \\\\u00abEntre mundos v\\\\u00edas de Alexander von Humboldt hacia la conciencia universal\\\\u00bb. HiN - Alexander von Humboldt im Netz. Internationale Zeitschrift f\\\\u00fcr Humboldt-Studien 10 (19): 15-30. https://doi.org/10.18443/125.\\\\\",1811 - 1818,Monta\\\\u00f1as andinas,Ecuador,,1fGGEsiVySDNEUMTTyUWzlh5I-KGoN-pk,humboldt,https://gallica.bnf.fr/ark:/12148/btv1b20000745,Alemania,,,,,,,,,equilibrio,alegoria,libro,True,130.jpg\\\\n124,Tapir Pinchaque,Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1829,Grabado,Grabado,papel,NI,NI,\\\\\"\\\\u201cM\\\\u00e9moire pour servir \\\\u00e0 l'Histoire du Tapir; et Description d'une esp\\\\u00e8ce nouvelle appartenant aux hautes r\\\\u00e9gions de la Cordili\\\\u00e8re des Andes\\\\u201d, Annales Des Sciences Naturelles, 18, 1829: 26-56.\\\\\",\\\\\"En el texto sobre el Tapir y en el texto sobre los animales dom\\\\u00e9sticos en el Nuevo Mundo se puede ver en acci\\\\u00f3n un modo de investigaci\\\\u00f3n relacionado con el paradigma que Cuvier llevaba a cabo, en el contexto de la emergencia de la biolog\\\\u00eda, para entender el funcionamiento org\\\\u00e1nico de los seres vivos. En la perspectiva de Foucault, la \\\\u201cepisteme\\\\u201d que hace posible la biolog\\\\u00eda crea nuevos objetos de estudio, como la \\\\u201cvida\\\\u201d, y nuevos m\\\\u00e9todos de investigaci\\\\u00f3n, como la anatom\\\\u00eda comparada. En este contexto los cuerpos humanos y animales son entendidos como redes de \\\\u00f3rganos vitales que trabajan al un\\\\u00edsono con otros \\\\u00f3rganos espec\\\\u00edficamente estructurados para facilitar la vida en un medio natural particular. Esta nueva episteme, la vida se comprende d modo din\\\\u00e1mico y en constante movimiento, por oposici\\\\u00f3n con la representaci\\\\u00f3n est\\\\u00e1tica de seres vivos dispuestos en tablas taxon\\\\u00f3micas de la Historia Natural practicada por personajes como Lineo y Mutis.  Para Roulin han sido justamente las observaciones directas e indirectas de los caracteres superficiales las que le permitieron sospechar de la existencia de una especie de Tapir no descubierta. Las descripciones hechas por cronistas como Oviedo y Argueda acerca de un Tapir de pelo negro habitante de las monta\\\\u00f1as, lejos de donde Roulin hab\\\\u00eda observado todos los individuos hasta la fecha, lo pusieron alerta de esta posibilidad. Los rastros que observ\\\\u00f3 en la monta\\\\u00f1a del Quind\\\\u00edo y el testimonio de los cargueros, fueron otros indicios que se confirmaron cuando en el Sumapaz unos cazadores dieron muerte a un par de Tapires que cumpl\\\\u00edan las caracter\\\\u00edsticas que Roulin estaba buscando. Los cazadores se negaron a venderle los cad\\\\u00e1veres para transportarlos a Bogot\\\\u00e1 y poder hacer su descripci\\\\u00f3n tranquilamente. Por esta raz\\\\u00f3n, tuvo que contentarse con \\\\u201chacer una descripci\\\\u00f3n abreviada en el acto, y con dibujar una simple l\\\\u00ednea a l\\\\u00e1piz\\\\u201d (je dus me contenter d'en faire sur la place une description abr\\\\u00e9g\\\\u00e9e , et d'en prendre au crayon un simple trait). Para poder terminar su primer boceto adquiere la cabeza y los pies del Tapir m\\\\u00e1s grande. As\\\\u00ed mismo, afirma que para poder reproducir (reproduire) el perfil de la cabeza con m\\\\u00e1s exactitud, la c\\\\u00e1mara-l\\\\u00facida de Wollaston le ayud\\\\u00f3 a determinar fielmente su contorno. De esta manera Roulin complet\\\\u00f3 una serie de dibujos que son puestos \\\\u201cante los ojos de la Academia\\\\u201d (sous les yeux de l'Acad\\\\u00e9mie) al ser adjuntados a su memoria publicada en los Anales de Ciencias Naturales. \\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1dPCwf2JyHMH0P7M0CXCdFOw51XvCLsy_,roulin,https://www.biodiversitylibrary.org/item/29175#page/477/mode/1up,Francia,,,,,,,,,figura,tipos animales,revista cientifica,True,131.jpg\\\\n125,Tete du Tapir Pinchaque,Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1829,Grabado,Grabado,papel,NI,NI,\\\\\"\\\\u201cM\\\\u00e9moire pour servir \\\\u00e0 l'Histoire du Tapir; et Description d'une esp\\\\u00e8ce nouvelle appartenant aux hautes r\\\\u00e9gions de la Cordili\\\\u00e8re des Andes\\\\u201d, Annales Des Sciences Naturelles, 18, 1829: 26-56.\\\\\",\\\\\"En el texto sobre el Tapir y en el texto sobre los animales dom\\\\u00e9sticos en el Nuevo Mundo se puede ver en acci\\\\u00f3n un modo de investigaci\\\\u00f3n relacionado con el paradigma que Cuvier llevaba a cabo, en el contexto de la emergencia de la biolog\\\\u00eda, para entender el funcionamiento org\\\\u00e1nico de los seres vivos. En la perspectiva de Foucault, la \\\\u201cepisteme\\\\u201d que hace posible la biolog\\\\u00eda crea nuevos objetos de estudio, como la \\\\u201cvida\\\\u201d, y nuevos m\\\\u00e9todos de investigaci\\\\u00f3n, como la anatom\\\\u00eda comparada. En este contexto los cuerpos humanos y animales son entendidos como redes de \\\\u00f3rganos vitales que trabajan al un\\\\u00edsono con otros \\\\u00f3rganos espec\\\\u00edficamente estructurados para facilitar la vida en un medio natural particular. Esta nueva episteme, la vida se comprende d modo din\\\\u00e1mico y en constante movimiento, por oposici\\\\u00f3n con la representaci\\\\u00f3n est\\\\u00e1tica de seres vivos dispuestos en tablas taxon\\\\u00f3micas de la Historia Natural practicada por personajes como Lineo y Mutis.  Para Roulin han sido justamente las observaciones directas e indirectas de los caracteres superficiales las que le permitieron sospechar de la existencia de una especie de Tapir no descubierta. Las descripciones hechas por cronistas como Oviedo y Argueda acerca de un Tapir de pelo negro habitante de las monta\\\\u00f1as, lejos de donde Roulin hab\\\\u00eda observado todos los individuos hasta la fecha, lo pusieron alerta de esta posibilidad. Los rastros que observ\\\\u00f3 en la monta\\\\u00f1a del Quind\\\\u00edo y el testimonio de los cargueros, fueron otros indicios que se confirmaron cuando en el Sumapaz unos cazadores dieron muerte a un par de Tapires que cumpl\\\\u00edan las caracter\\\\u00edsticas que Roulin estaba buscando. Los cazadores se negaron a venderle los cad\\\\u00e1veres para transportarlos a Bogot\\\\u00e1 y poder hacer su descripci\\\\u00f3n tranquilamente. Por esta raz\\\\u00f3n, tuvo que contentarse con \\\\u201chacer una descripci\\\\u00f3n abreviada en el acto, y con dibujar una simple l\\\\u00ednea a l\\\\u00e1piz\\\\u201d (je dus me contenter d'en faire sur la place une description abr\\\\u00e9g\\\\u00e9e , et d'en prendre au crayon un simple trait). Para poder terminar su primer boceto adquiere la cabeza y los pies del Tapir m\\\\u00e1s grande. As\\\\u00ed mismo, afirma que para poder reproducir (reproduire) el perfil de la cabeza con m\\\\u00e1s exactitud, la c\\\\u00e1mara-l\\\\u00facida de Wollaston le ayud\\\\u00f3 a determinar fielmente su contorno. De esta manera Roulin complet\\\\u00f3 una serie de dibujos que son puestos \\\\u201cante los ojos de la Academia\\\\u201d (sous les yeux de l'Acad\\\\u00e9mie) al ser adjuntados a su memoria publicada en los Anales de Ciencias Naturales. \\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1VzgI_BLG7Il96Uj6lZw5t3YA3XJtlHdI,roulin,https://www.biodiversitylibrary.org/item/29175#page/477/mode/1up,Francia,,,,,,,,,figura,tipos animales,revista cientifica,True,132.jpg\\\\n126,Tete du Tapir Du Cayenne,Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1829,Grabado,Grabado,papel,NI,NI,\\\\\"\\\\u201cM\\\\u00e9moire pour servir \\\\u00e0 l'Histoire du Tapir; et Description d'une esp\\\\u00e8ce nouvelle appartenant aux hautes r\\\\u00e9gions de la Cordili\\\\u00e8re des Andes\\\\u201d, Annales Des Sciences Naturelles, 18, 1829: 26-56.\\\\\",\\\\\"En el texto sobre el Tapir y en el texto sobre los animales dom\\\\u00e9sticos en el Nuevo Mundo se puede ver en acci\\\\u00f3n un modo de investigaci\\\\u00f3n relacionado con el paradigma que Cuvier llevaba a cabo, en el contexto de la emergencia de la biolog\\\\u00eda, para entender el funcionamiento org\\\\u00e1nico de los seres vivos. En la perspectiva de Foucault, la \\\\u201cepisteme\\\\u201d que hace posible la biolog\\\\u00eda crea nuevos objetos de estudio, como la \\\\u201cvida\\\\u201d, y nuevos m\\\\u00e9todos de investigaci\\\\u00f3n, como la anatom\\\\u00eda comparada. En este contexto los cuerpos humanos y animales son entendidos como redes de \\\\u00f3rganos vitales que trabajan al un\\\\u00edsono con otros \\\\u00f3rganos espec\\\\u00edficamente estructurados para facilitar la vida en un medio natural particular. Esta nueva episteme, la vida se comprende d modo din\\\\u00e1mico y en constante movimiento, por oposici\\\\u00f3n con la representaci\\\\u00f3n est\\\\u00e1tica de seres vivos dispuestos en tablas taxon\\\\u00f3micas de la Historia Natural practicada por personajes como Lineo y Mutis.  Para Roulin han sido justamente las observaciones directas e indirectas de los caracteres superficiales las que le permitieron sospechar de la existencia de una especie de Tapir no descubierta. Las descripciones hechas por cronistas como Oviedo y Argueda acerca de un Tapir de pelo negro habitante de las monta\\\\u00f1as, lejos de donde Roulin hab\\\\u00eda observado todos los individuos hasta la fecha, lo pusieron alerta de esta posibilidad. Los rastros que observ\\\\u00f3 en la monta\\\\u00f1a del Quind\\\\u00edo y el testimonio de los cargueros, fueron otros indicios que se confirmaron cuando en el Sumapaz unos cazadores dieron muerte a un par de Tapires que cumpl\\\\u00edan las caracter\\\\u00edsticas que Roulin estaba buscando. Los cazadores se negaron a venderle los cad\\\\u00e1veres para transportarlos a Bogot\\\\u00e1 y poder hacer su descripci\\\\u00f3n tranquilamente. Por esta raz\\\\u00f3n, tuvo que contentarse con \\\\u201chacer una descripci\\\\u00f3n abreviada en el acto, y con dibujar una simple l\\\\u00ednea a l\\\\u00e1piz\\\\u201d (je dus me contenter d'en faire sur la place une description abr\\\\u00e9g\\\\u00e9e , et d'en prendre au crayon un simple trait). Para poder terminar su primer boceto adquiere la cabeza y los pies del Tapir m\\\\u00e1s grande. As\\\\u00ed mismo, afirma que para poder reproducir (reproduire) el perfil de la cabeza con m\\\\u00e1s exactitud, la c\\\\u00e1mara-l\\\\u00facida de Wollaston le ayud\\\\u00f3 a determinar fielmente su contorno. De esta manera Roulin complet\\\\u00f3 una serie de dibujos que son puestos \\\\u201cante los ojos de la Academia\\\\u201d (sous les yeux de l'Acad\\\\u00e9mie) al ser adjuntados a su memoria publicada en los Anales de Ciencias Naturales. \\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1vbaEoIsfo3H6_CxA1ePlkjQi5svNiP4X,roulin,https://www.biodiversitylibrary.org/item/29175#page/477/mode/1up,Francia,,,,,,,,,figura,tipos animales,libro,True,133.jpg\\\\n127,Tete du Tapir de Sumatra,Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1829,Grabado,Grabado,papel,NI,NI,\\\\\"\\\\u201cM\\\\u00e9moire pour servir \\\\u00e0 l'Histoire du Tapir; et Description d'une esp\\\\u00e8ce nouvelle appartenant aux hautes r\\\\u00e9gions de la Cordili\\\\u00e8re des Andes\\\\u201d, Annales Des Sciences Naturelles, 18, 1829: 26-56.\\\\\",\\\\\"En el texto sobre el Tapir y en el texto sobre los animales dom\\\\u00e9sticos en el Nuevo Mundo se puede ver en acci\\\\u00f3n un modo de investigaci\\\\u00f3n relacionado con el paradigma que Cuvier llevaba a cabo, en el contexto de la emergencia de la biolog\\\\u00eda, para entender el funcionamiento org\\\\u00e1nico de los seres vivos. En la perspectiva de Foucault, la \\\\u201cepisteme\\\\u201d que hace posible la biolog\\\\u00eda crea nuevos objetos de estudio, como la \\\\u201cvida\\\\u201d, y nuevos m\\\\u00e9todos de investigaci\\\\u00f3n, como la anatom\\\\u00eda comparada. En este contexto los cuerpos humanos y animales son entendidos como redes de \\\\u00f3rganos vitales que trabajan al un\\\\u00edsono con otros \\\\u00f3rganos espec\\\\u00edficamente estructurados para facilitar la vida en un medio natural particular. Esta nueva episteme, la vida se comprende d modo din\\\\u00e1mico y en constante movimiento, por oposici\\\\u00f3n con la representaci\\\\u00f3n est\\\\u00e1tica de seres vivos dispuestos en tablas taxon\\\\u00f3micas de la Historia Natural practicada por personajes como Lineo y Mutis.  Para Roulin han sido justamente las observaciones directas e indirectas de los caracteres superficiales las que le permitieron sospechar de la existencia de una especie de Tapir no descubierta. Las descripciones hechas por cronistas como Oviedo y Argueda acerca de un Tapir de pelo negro habitante de las monta\\\\u00f1as, lejos de donde Roulin hab\\\\u00eda observado todos los individuos hasta la fecha, lo pusieron alerta de esta posibilidad. Los rastros que observ\\\\u00f3 en la monta\\\\u00f1a del Quind\\\\u00edo y el testimonio de los cargueros, fueron otros indicios que se confirmaron cuando en el Sumapaz unos cazadores dieron muerte a un par de Tapires que cumpl\\\\u00edan las caracter\\\\u00edsticas que Roulin estaba buscando. Los cazadores se negaron a venderle los cad\\\\u00e1veres para transportarlos a Bogot\\\\u00e1 y poder hacer su descripci\\\\u00f3n tranquilamente. Por esta raz\\\\u00f3n, tuvo que contentarse con \\\\u201chacer una descripci\\\\u00f3n abreviada en el acto, y con dibujar una simple l\\\\u00ednea a l\\\\u00e1piz\\\\u201d (je dus me contenter d'en faire sur la place une description abr\\\\u00e9g\\\\u00e9e , et d'en prendre au crayon un simple trait). Para poder terminar su primer boceto adquiere la cabeza y los pies del Tapir m\\\\u00e1s grande. As\\\\u00ed mismo, afirma que para poder reproducir (reproduire) el perfil de la cabeza con m\\\\u00e1s exactitud, la c\\\\u00e1mara-l\\\\u00facida de Wollaston le ayud\\\\u00f3 a determinar fielmente su contorno. De esta manera Roulin complet\\\\u00f3 una serie de dibujos que son puestos \\\\u201cante los ojos de la Academia\\\\u201d (sous les yeux de l'Acad\\\\u00e9mie) al ser adjuntados a su memoria publicada en los Anales de Ciencias Naturales. \\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1AR_3F6lp-cPfyxU-Ajk6om2-fa4P7lgj,roulin,https://www.biodiversitylibrary.org/item/29175#page/477/mode/1up,Francia,,,,,,,,,figura,tipos animales,libro,True,134.jpg\\\\n128,\\\\\"Me de Chinois, Tapir assis, Le meme transforme en Griffon\\\\\",Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1829,Grabado,Grabado,papel,NI,NI,\\\\\"\\\\u201cM\\\\u00e9moire pour servir \\\\u00e0 l'Histoire du Tapir; et Description d'une esp\\\\u00e8ce nouvelle appartenant aux hautes r\\\\u00e9gions de la Cordili\\\\u00e8re des Andes\\\\u201d, Annales Des Sciences Naturelles, 18, 1829: 26-56.\\\\\",\\\\\"En el texto sobre el Tapir y en el texto sobre los animales dom\\\\u00e9sticos en el Nuevo Mundo se puede ver en acci\\\\u00f3n un modo de investigaci\\\\u00f3n relacionado con el paradigma que Cuvier llevaba a cabo, en el contexto de la emergencia de la biolog\\\\u00eda, para entender el funcionamiento org\\\\u00e1nico de los seres vivos. En la perspectiva de Foucault, la \\\\u201cepisteme\\\\u201d que hace posible la biolog\\\\u00eda crea nuevos objetos de estudio, como la \\\\u201cvida\\\\u201d, y nuevos m\\\\u00e9todos de investigaci\\\\u00f3n, como la anatom\\\\u00eda comparada. En este contexto los cuerpos humanos y animales son entendidos como redes de \\\\u00f3rganos vitales que trabajan al un\\\\u00edsono con otros \\\\u00f3rganos espec\\\\u00edficamente estructurados para facilitar la vida en un medio natural particular. Esta nueva episteme, la vida se comprende d modo din\\\\u00e1mico y en constante movimiento, por oposici\\\\u00f3n con la representaci\\\\u00f3n est\\\\u00e1tica de seres vivos dispuestos en tablas taxon\\\\u00f3micas de la Historia Natural practicada por personajes como Lineo y Mutis.  Para Roulin han sido justamente las observaciones directas e indirectas de los caracteres superficiales las que le permitieron sospechar de la existencia de una especie de Tapir no descubierta. Las descripciones hechas por cronistas como Oviedo y Argueda acerca de un Tapir de pelo negro habitante de las monta\\\\u00f1as, lejos de donde Roulin hab\\\\u00eda observado todos los individuos hasta la fecha, lo pusieron alerta de esta posibilidad. Los rastros que observ\\\\u00f3 en la monta\\\\u00f1a del Quind\\\\u00edo y el testimonio de los cargueros, fueron otros indicios que se confirmaron cuando en el Sumapaz unos cazadores dieron muerte a un par de Tapires que cumpl\\\\u00edan las caracter\\\\u00edsticas que Roulin estaba buscando. Los cazadores se negaron a venderle los cad\\\\u00e1veres para transportarlos a Bogot\\\\u00e1 y poder hacer su descripci\\\\u00f3n tranquilamente. Por esta raz\\\\u00f3n, tuvo que contentarse con \\\\u201chacer una descripci\\\\u00f3n abreviada en el acto, y con dibujar una simple l\\\\u00ednea a l\\\\u00e1piz\\\\u201d (je dus me contenter d'en faire sur la place une description abr\\\\u00e9g\\\\u00e9e , et d'en prendre au crayon un simple trait). Para poder terminar su primer boceto adquiere la cabeza y los pies del Tapir m\\\\u00e1s grande. As\\\\u00ed mismo, afirma que para poder reproducir (reproduire) el perfil de la cabeza con m\\\\u00e1s exactitud, la c\\\\u00e1mara-l\\\\u00facida de Wollaston le ayud\\\\u00f3 a determinar fielmente su contorno. De esta manera Roulin complet\\\\u00f3 una serie de dibujos que son puestos \\\\u201cante los ojos de la Academia\\\\u201d (sous les yeux de l'Acad\\\\u00e9mie) al ser adjuntados a su memoria publicada en los Anales de Ciencias Naturales. \\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1msJ8nG752Rk7WdKYwcHx2SnGXrjUFuEO,roulin,https://www.biodiversitylibrary.org/item/29175#page/477/mode/1up,Francia,,,,,,,,,figura,tipos animales,libro,True,135.jpg\\\\n129,Pl 39. Tapir indicus. Crane de Tapir americanus.,\\\\\"Gu\\\\u00e9rin-M\\\\u00e9neville, F.-E, Georges Cuvier\\\\\",1829,Grabado,Grabado,papel,NI,NI,\\\\\"Gu\\\\u00e9rin-M\\\\u00e9neville, F.-E. (F\\\\u00e9lix-Edouard), Georges Cuvier, Henri Donckier, William Schaus, y former owner DSI United States. Dept. of Agriculture Library. 1829. Iconographie du r\\\\u00e8gne animal de G. Cuvier, ou, Repr\\\\u00e9sentation d\\\\u2019apr\\\\u00e8s nature de l\\\\u2019une des esp\\\\u00e8ces les plus et souvent non encore figur\\\\u00e9es de chaque genre d\\\\u2019animaux : avec un texte descriptif mis au courant de la science : ouvrage pouvant servir d\\\\u2019atlas a tous les traites de zoologie. Paris ; London : Chez J.B. Bailli\\\\u00e8re. http://archive.org/details/iconographiedur1182944gu.\\\\\",,1819 - 1850,Europa central,Francia,,1t39XwaImpvQ0sGyizdE5o_ZyEeKAVdBV,cuvier,https://archive.org/details/iconographiedur1182944gu/page/n11/mode/2up,Francia,,,,,,,,,figura,tipos animales,libro,True,136.jpg\\\\n130,Pl 39. Tapir indicus. Crane de Tapir americanus (Detalle).,Georges Cuvier,1829,Grabado,Grabado,papel,NI,NI,\\\\\"Gu\\\\u00e9rin-M\\\\u00e9neville, F.-E. (F\\\\u00e9lix-Edouard), Georges Cuvier, Henri Donckier, William Schaus, y former owner DSI United States. Dept. of Agriculture Library. 1829. Iconographie du r\\\\u00e8gne animal de G. Cuvier, ou, Repr\\\\u00e9sentation d\\\\u2019apr\\\\u00e8s nature de l\\\\u2019une des esp\\\\u00e8ces les plus et souvent non encore figur\\\\u00e9es de chaque genre d\\\\u2019animaux : avec un texte descriptif mis au courant de la science : ouvrage pouvant servir d\\\\u2019atlas a tous les traites de zoologie. Paris ; London : Chez J.B. Bailli\\\\u00e8re. http://archive.org/details/iconographiedur1182944gu.\\\\\",,1819 - 1850,Europa central,Francia,,1xAxoT_6qFkyvxV_KFmLKBZvt_8YKVeZd,cuvier,https://archive.org/details/iconographiedur1182944gu/page/n11/mode/2up,Francia,,,,,,,,,figura,tipos animales,libro,True,137.jpg\\\\n131,\\\\\"Pl A. Homo Sapiens, Lineous\\\\\",Georges Cuvier,1829,Grabado,Grabado,papel,NI,NI,\\\\\"Gu\\\\u00e9rin-M\\\\u00e9neville, F.-E. (F\\\\u00e9lix-Edouard), Georges Cuvier, Henri Donckier, William Schaus, y former owner DSI United States. Dept. of Agriculture Library. 1829. Iconographie du r\\\\u00e8gne animal de G. Cuvier, ou, Repr\\\\u00e9sentation d\\\\u2019apr\\\\u00e8s nature de l\\\\u2019une des esp\\\\u00e8ces les plus et souvent non encore figur\\\\u00e9es de chaque genre d\\\\u2019animaux : avec un texte descriptif mis au courant de la science : ouvrage pouvant servir d\\\\u2019atlas a tous les traites de zoologie. Paris ; London : Chez J.B. Bailli\\\\u00e8re. http://archive.org/details/iconographiedur1182944gu.\\\\\",\\\\\" La posici\\\\u00f3n del hombre en esta clasificaci\\\\u00f3n es acorde con una jerarqu\\\\u00eda de los \\\\u00f3rganos que se debe a su importancia para sostener la vida. Los \\\\u00f3rganos fundamentales son los sistemas circulatorio y nervioso, que posibilitan las funciones m\\\\u00e1s elementales: el movimiento, la sensaci\\\\u00f3n y, en los niveles superiores, la actividad mental y el pensamiento. A su vez, la complejidad y centralizaci\\\\u00f3n del sistema nervioso es de mayor jerarqu\\\\u00eda que la simplicidad y la dispersi\\\\u00f3n. En este sentido, el hombre aparece en la cima de la jerarquizaci\\\\u00f3n como un mam\\\\u00edfero b\\\\u00edpedo. Se caracteriza por tener el cerebro m\\\\u00e1s grande que el de los mam\\\\u00edferos cuadr\\\\u00fapedos. El hombre forma un g\\\\u00e9nero, y es de inter\\\\u00e9s directo porque se constituye en punto de referencia para la comparaci\\\\u00f3n con los dem\\\\u00e1s animales. As\\\\u00ed, por esta raz\\\\u00f3n se expone con m\\\\u00e1s detalle. Se lo caracteriza mostrando lo que tienen de particulares sus sistemas org\\\\u00e1nicos, las ventajas de sus particularidades y aquello que tiene de com\\\\u00fan con los otros mam\\\\u00edferos. Tambi\\\\u00e9n habla de cu\\\\u00e1les son las principales razas y sus caracteres distintivos. De una explicaci\\\\u00f3n que parte desde los sistemas org\\\\u00e1nicos relacionados con el intelecto hasta los relacionados con la sensaci\\\\u00f3n, hace una descripci\\\\u00f3n del desarrollo individual, desde la infancia hasta la vejez, y luego del desarrollo social. Este desarrollo lo describe a partir de generalidades que se aplican a todo el \\\\u201cg\\\\u00e9nero\\\\u201d, pero tambi\\\\u00e9n afirma que \\\\u201cCircunstancias m\\\\u00e1s o menos favorables han frenado en cierto grado el estado social, o han hecho avanzar su desarrollo\\\\u201d. As\\\\u00ed, los climas glaciares del norte y los impenetrables bosques (forets) de Am\\\\u00e9rica no est\\\\u00e1n habitados m\\\\u00e1s que por salvajes cazadores o pescadores. Por su parte, los climas dulces de suelos naturalmente irrigados y ricos en vegetaci\\\\u00f3n son cunas naturales de la agricultura y de la civilizaci\\\\u00f3n. Sin embargo, hay circunstancias intr\\\\u00ednsecas que hacen detener el progreso de ciertas razas, incluso en medio de circunstancias favorables. Entre las razas distingue la blanca o cauc\\\\u00e1sica, la amarilla o mongol, la negra o eti\\\\u00f3pica. Las im\\\\u00e1genes que acompa\\\\u00f1an la iconograf\\\\u00eda del Reino animal son bastante reveladoras. El cauc\\\\u00e1sico es representado con \\\\u201cApollon Antique\\\\u201d, es decir un busto cl\\\\u00e1sico, mientras que las otras razas son representadas de modo realista: es seguido del mongol y del et\\\\u00edope cada uno con sus caracter\\\\u00edsticas f\\\\u00edsicas. \\\\\",1819 - 1850,Europa central,Francia,,1CSAsYKFsVCYFZwjj_U62DGALao2ZAHZT,cuvier,https://archive.org/details/iconographiedur1182944gu/page/n11/mode/2up,Francia,,,,,,,,,figura,tipos humanos,libro,True,138.jpg\\\\n132,\\\\\"Pl B. Homo Sapiens, Lineous. Cr\\\\u00e1ne d'un Circasien, d'un Chinois, d'un Negre\\\\\",Georges Cuvier,1829,Grabado,Grabado,papel,NI,NI,\\\\\"Gu\\\\u00e9rin-M\\\\u00e9neville, F.-E. (F\\\\u00e9lix-Edouard), Georges Cuvier, Henri Donckier, William Schaus, y former owner DSI United States. Dept. of Agriculture Library. 1829. Iconographie du r\\\\u00e8gne animal de G. Cuvier, ou, Repr\\\\u00e9sentation d\\\\u2019apr\\\\u00e8s nature de l\\\\u2019une des esp\\\\u00e8ces les plus et souvent non encore figur\\\\u00e9es de chaque genre d\\\\u2019animaux : avec un texte descriptif mis au courant de la science : ouvrage pouvant servir d\\\\u2019atlas a tous les traites de zoologie. Paris ; London : Chez J.B. Bailli\\\\u00e8re. http://archive.org/details/iconographiedur1182944gu.\\\\\",\\\\\" La posici\\\\u00f3n del hombre en esta clasificaci\\\\u00f3n es acorde con una jerarqu\\\\u00eda de los \\\\u00f3rganos que se debe a su importancia para sostener la vida. Los \\\\u00f3rganos fundamentales son los sistemas circulatorio y nervioso, que posibilitan las funciones m\\\\u00e1s elementales: el movimiento, la sensaci\\\\u00f3n y, en los niveles superiores, la actividad mental y el pensamiento. A su vez, la complejidad y centralizaci\\\\u00f3n del sistema nervioso es de mayor jerarqu\\\\u00eda que la simplicidad y la dispersi\\\\u00f3n. En este sentido, el hombre aparece en la cima de la jerarquizaci\\\\u00f3n como un mam\\\\u00edfero b\\\\u00edpedo. Se caracteriza por tener el cerebro m\\\\u00e1s grande que el de los mam\\\\u00edferos cuadr\\\\u00fapedos. El hombre forma un g\\\\u00e9nero, y es de inter\\\\u00e9s directo porque se constituye en punto de referencia para la comparaci\\\\u00f3n con los dem\\\\u00e1s animales. As\\\\u00ed, por esta raz\\\\u00f3n se expone con m\\\\u00e1s detalle. Se lo caracteriza mostrando lo que tienen de particulares sus sistemas org\\\\u00e1nicos, las ventajas de sus particularidades y aquello que tiene de com\\\\u00fan con los otros mam\\\\u00edferos. Tambi\\\\u00e9n habla de cu\\\\u00e1les son las principales razas y sus caracteres distintivos. De una explicaci\\\\u00f3n que parte desde los sistemas org\\\\u00e1nicos relacionados con el intelecto hasta los relacionados con la sensaci\\\\u00f3n, hace una descripci\\\\u00f3n del desarrollo individual, desde la infancia hasta la vejez, y luego del desarrollo social. Este desarrollo lo describe a partir de generalidades que se aplican a todo el \\\\u201cg\\\\u00e9nero\\\\u201d, pero tambi\\\\u00e9n afirma que \\\\u201cCircunstancias m\\\\u00e1s o menos favorables han frenado en cierto grado el estado social, o han hecho avanzar su desarrollo\\\\u201d. As\\\\u00ed, los climas glaciares del norte y los impenetrables bosques (forets) de Am\\\\u00e9rica no est\\\\u00e1n habitados m\\\\u00e1s que por salvajes cazadores o pescadores. Por su parte, los climas dulces de suelos naturalmente irrigados y ricos en vegetaci\\\\u00f3n son cunas naturales de la agricultura y de la civilizaci\\\\u00f3n. Sin embargo, hay circunstancias intr\\\\u00ednsecas que hacen detener el progreso de ciertas razas, incluso en medio de circunstancias favorables. Entre las razas distingue la blanca o cauc\\\\u00e1sica, la amarilla o mongol, la negra o eti\\\\u00f3pica. Las im\\\\u00e1genes que acompa\\\\u00f1an la iconograf\\\\u00eda del Reino animal son bastante reveladoras. El cauc\\\\u00e1sico es representado con \\\\u201cApollon Antique\\\\u201d, es decir un busto cl\\\\u00e1sico, mientras que las otras razas son representadas de modo realista: es seguido del mongol y del et\\\\u00edope cada uno con sus caracter\\\\u00edsticas f\\\\u00edsicas. \\\\\",1819 - 1850,Europa central,Francia,,1MgdzCgcj10t9Cas22n45BlndBE_z5MRw,cuvier,https://archive.org/details/iconographiedur1182944gu/page/n11/mode/2up,Francia,,,,,,,,,figura,tipos animales,libro,True,139.jpg\\\\n133,\\\\\"Figs. 1, 2, 3, 4: forearm, hand, and elbow joint from sphinx baboon; Figs. 5, 6, 7: front leg, paw, and elbow joint from a cat; Fig. 8: bear paw; Fig. 9: seal foot; Fig. 10: dolphin flipper\\\\\",Georges Cuvier,1805,Grabado,Grabado,papel,NI,NI,\\\\\"Georges Cuvier, Le\\\\u00e7ons d\\\\u2019anatomie compar\\\\u00e9e, Paris: Crochard, 1805, 6 vols\\\\\",,1819 - 1850,Europa central,Francia,,1w36GAs_bgh9giipD1GVzUEmSxUajRfHv,cuvier,https://www.biodiversitylibrary.org/bibliography/114839,Francia,,,,,,,,,figura,tipos humanos,libro,True,140.jpg\\\\n134,Black- capped Capuchin monkey,Geoffroy Saint- Hilaire,1819,Grabado,Grabado,papel,NI,NI,\\\\\"Geoffroy Saint- Hilaire, Histoire naturelle des mammif\\\\u00e8res, Paris: Firmin Didot, 1819.\\\\\",,1819 - 1850,Europa central,Francia,,1-RORQdZqyUbJvS9a9muJ8lQs09qVQRmQ,cuvier,https://www.cambridge.org/core/books/abs/animals-animality-and-literature/classify-and-display/A8099AF6D1EAB016F1D5CD7C8458214A,Francia,,,,,,,,,figura,tipos animales,libro,True,141.jpg\\\\n135,Pl. 1. Simia. Simia. Hylobates. Cercophitecus,\\\\\"Gu\\\\u00e9rin-M\\\\u00e9neville, F.-E, Georges Cuvier\\\\\",1829,Grabado,Grabado,papel,NI,NI,\\\\\"Gu\\\\u00e9rin-M\\\\u00e9neville, F.-E. (F\\\\u00e9lix-Edouard), Georges Cuvier, Henri Donckier, William Schaus, y former owner DSI United States. Dept. of Agriculture Library. 1829. Iconographie du r\\\\u00e8gne animal de G. Cuvier, ou, Repr\\\\u00e9sentation d\\\\u2019apr\\\\u00e8s nature de l\\\\u2019une des esp\\\\u00e8ces les plus et souvent non encore figur\\\\u00e9es de chaque genre d\\\\u2019animaux : avec un texte descriptif mis au courant de la science : ouvrage pouvant servir d\\\\u2019atlas a tous les traites de zoologie. Paris ; London : Chez J.B. Bailli\\\\u00e8re. http://archive.org/details/iconographiedur1182944gu.\\\\\",\\\\\" La posici\\\\u00f3n del hombre en esta clasificaci\\\\u00f3n es acorde con una jerarqu\\\\u00eda de los \\\\u00f3rganos que se debe a su importancia para sostener la vida. Los \\\\u00f3rganos fundamentales son los sistemas circulatorio y nervioso, que posibilitan las funciones m\\\\u00e1s elementales: el movimiento, la sensaci\\\\u00f3n y, en los niveles superiores, la actividad mental y el pensamiento. A su vez, la complejidad y centralizaci\\\\u00f3n del sistema nervioso es de mayor jerarqu\\\\u00eda que la simplicidad y la dispersi\\\\u00f3n. En este sentido, el hombre aparece en la cima de la jerarquizaci\\\\u00f3n como un mam\\\\u00edfero b\\\\u00edpedo. Se caracteriza por tener el cerebro m\\\\u00e1s grande que el de los mam\\\\u00edferos cuadr\\\\u00fapedos. El hombre forma un g\\\\u00e9nero, y es de inter\\\\u00e9s directo porque se constituye en punto de referencia para la comparaci\\\\u00f3n con los dem\\\\u00e1s animales. As\\\\u00ed, por esta raz\\\\u00f3n se expone con m\\\\u00e1s detalle. Se lo caracteriza mostrando lo que tienen de particulares sus sistemas org\\\\u00e1nicos, las ventajas de sus particularidades y aquello que tiene de com\\\\u00fan con los otros mam\\\\u00edferos. Tambi\\\\u00e9n habla de cu\\\\u00e1les son las principales razas y sus caracteres distintivos. De una explicaci\\\\u00f3n que parte desde los sistemas org\\\\u00e1nicos relacionados con el intelecto hasta los relacionados con la sensaci\\\\u00f3n, hace una descripci\\\\u00f3n del desarrollo individual, desde la infancia hasta la vejez, y luego del desarrollo social. Este desarrollo lo describe a partir de generalidades que se aplican a todo el \\\\u201cg\\\\u00e9nero\\\\u201d, pero tambi\\\\u00e9n afirma que \\\\u201cCircunstancias m\\\\u00e1s o menos favorables han frenado en cierto grado el estado social, o han hecho avanzar su desarrollo\\\\u201d. As\\\\u00ed, los climas glaciares del norte y los impenetrables bosques (forets) de Am\\\\u00e9rica no est\\\\u00e1n habitados m\\\\u00e1s que por salvajes cazadores o pescadores. Por su parte, los climas dulces de suelos naturalmente irrigados y ricos en vegetaci\\\\u00f3n son cunas naturales de la agricultura y de la civilizaci\\\\u00f3n. Sin embargo, hay circunstancias intr\\\\u00ednsecas que hacen detener el progreso de ciertas razas, incluso en medio de circunstancias favorables. Entre las razas distingue la blanca o cauc\\\\u00e1sica, la amarilla o mongol, la negra o eti\\\\u00f3pica. Las im\\\\u00e1genes que acompa\\\\u00f1an la iconograf\\\\u00eda del Reino animal son bastante reveladoras. El cauc\\\\u00e1sico es representado con \\\\u201cApollon Antique\\\\u201d, es decir un busto cl\\\\u00e1sico, mientras que las otras razas son representadas de modo realista: es seguido del mongol y del et\\\\u00edope cada uno con sus caracter\\\\u00edsticas f\\\\u00edsicas. \\\\\",1819 - 1850,Europa central,Francia,,15DzyHyBpiM0CuWFEDbnyc1CPoJRopDSL,cuvier,https://archive.org/details/iconographiedur1182944gu/page/n15/mode/2up,Francia,,,,,,,,,figura,tipos animales,libro,True,142.jpg\\\\n136,Woman of the Bushman race.,Geoffroy Saint- Hilaire,1819,Grabado,Grabado,papel,NI,NI,\\\\\"Geoffroy Saint- Hilaire, Histoire naturelle des mammif\\\\u00e8res, Paris: Firmin Didot, 1819.\\\\\",\\\\\"Entre 1937 y 1974 se exhibi\\\\u00f3 en el Mus\\\\u00e9e de l'homme de Par\\\\u00eds un molde de yeso del cuerpo de Sara Baartman, la mujer conocida como la Venus hotentote, acompa\\\\u00f1ado de su esqueleto y su cerebro en un frasco de muestras. Al describir la exhibici\\\\u00f3n, los historiadores Clifton Crais y Pamela Scully se\\\\u00f1alan que los artistas pintaron el elenco en tonos de piel y agregaron detalles como \\\\\"\\\\\"un trampantojo de cabello\\\\\"\\\\\" y senos con aureolas y pezones. \\\\u201cLos ojos de Sara Baartman est\\\\u00e1n cerrados\\\\u201d, escriben los historiadores, \\\\u201cpero parece abatida. Sus labios est\\\\u00e1n separados como si estuviera a punto de hablar.\\\\u201d3 Antes de llegar al Muse\\\\u00e9, la exhibici\\\\u00f3n anat\\\\u00f3mica de Sara Baartman hab\\\\u00eda edificado e instruido a los visitantes del Mus\\\\u00e9um de l'histoire naturelle desde el momento de la muerte de Baartman en marzo de 1815 hasta 1937. Millones de espectadores tambi\\\\u00e9n vieron la exposici\\\\u00f3n en la Exposici\\\\u00f3n Universal de 1889. El esqueleto y el cerebro (m\\\\u00e1s los genitales extirpados, conservados en alcohol en otro lugar del Museo) fueron el resultado de una disecci\\\\u00f3n post-mortem realizada por Georges Cuvier (1769\\\\u2013 1832), uno de los zo\\\\u00f3logos m\\\\u00e1s eruditos de su \\\\u00e9poca. El colega de Cuvier, Geoffroy Saint-Hillaire, hab\\\\u00eda escrito una carta a la polic\\\\u00eda de Par\\\\u00eds, solicitando que el cuerpo de Sara Baartman fuera llevado al Museo, \\\\u201cpara adquirir nueva informaci\\\\u00f3n sobre esta singular raza de la especie humana.\\\\\",1819 - 1850,Europa central,Francia,,1LX9RHNXoGgncFJtZjdT1sAoSZQtH04Th,cuvier,https://www.cambridge.org/core/books/abs/animals-animality-and-literature/classify-and-display/A8099AF6D1EAB016F1D5CD7C8458214A,Francia,,,,,,,,,figura,tipos humanos,libro,True,143.jpg\\\\n137,Cours d'anatomie compar\\\\u00e9e au Jardin des plantes,Gustave Dor\\\\u00e9,1954,Grabado,Grabado,papel,NI,NI,\\\\\"\\\\u201cThe Different Publics of Paris,\\\\u201d Le Journal pour rire , Paris, 1854.\\\\\",\\\\\"En \\\\u201cUna lecci\\\\u00f3n de anatom\\\\u00eda comparada en el Jardin des plantes\\\\u201d, Gustave Dor\\\\u00e9 satiriza la arrogancia antropol\\\\u00f3gica y la ceguera de Cuvier y su p\\\\u00fablico. En esta ilustraci\\\\u00f3n para \\\\\"\\\\\"Los diferentes p\\\\u00fablicos de Par\\\\u00eds\\\\\"\\\\\" (1854), un profesor de anatom\\\\u00eda comparada empuja un cr\\\\u00e1neo humano hacia su audiencia en una sala de conferencias abarrotada. Los estudiantes humanos y su profesor apenas parecen superiores al cocodrilo y otros animales suspendidos sobre ellos, que lanzan una mirada fraternal e ir\\\\u00f3nica hacia el espectador de esta imagen.\\\\\",1819 - 1850,Europa central,Francia,,1f8793mavd4J4a3GgY1MszmgS8aUnF-wo,cuvier,https://gallica.bnf.fr/ark:/12148/btv1b10320675h,Francia,,,,,,,,,figura,caricatura,libro,True,144.jpg\\\\n138,Planche 14. Races Humanes. Races Americaines. Indiens du Bassin de l'Orinoque,\\\\\"Georges Cuvier, Fran\\\\u00e7ois Desir\\\\u00e9 Roulin(Dibj.)\\\\\",1836,Grabado,Grabado,papel,NI,NI,\\\\\"Cuvier, Georges, Jean Victor Audouin, Emile Blanchard, G. P. Deshayes, Georges Milne-Edwards Douvernoy, L. Doy\\\\u00e8re, L. Doy\\\\u00e8re, et al. 1836. Le r\\\\u00e8gne animal distribu\\\\u00e9 d\\\\u2019apr\\\\u00e8s son organisation, pour servir de base \\\\u00e0 l\\\\u2019histoire naturelle des animaux et d\\\\u2019introduction \\\\u00e0 l\\\\u2019anatomie compar\\\\u00e9e. Paris: Fortin, Masson et cie. https://doi.org/10.5962/bhl.title.39612. Planche 14.\\\\\",\\\\\"En el Raino animal de Cuvier, acerca de la raza de los americanos, se dice lo siguiente: \\\\\"\\\\\"Los propios americanos no han sido aun claramente relacionados con ninguna de nuestras razas del viejo continente, y sin embargo tampoco tienen un car\\\\u00e1cter a la vez preciso y constante que pueda hacer de ella una raza particular. Su tez rojo cobre no es suficiente; sus cabellos generalmente negros y su barba rala los har\\\\u00edan referirse a los mongoles, sus rasgos aleteados tan pronunciados, su nariz tan saliente como la nuestra, sus ojos grandes y abiertos, no los opon\\\\u00edan y correspond\\\\u00edan a nuestras formas europeas; sus idiomas son tan innumerables como sus tribus, y a\\\\u00fan no hemos podido captar ninguna analog\\\\u00eda demostrativa ni entre ellos ni con los del Viejo Mundo\\\\\"\\\\\". (103-104). Para fundamentar esta afirmaci\\\\u00f3n cita como referencia los viajes de Humboldt. As\\\\u00ed mismo, invoca una serie de planchas que se encuentran en el Atlas de los mam\\\\u00edferos de la edici\\\\u00f3n de los disc\\\\u00edpulos del Reino Animal en las que se ilustran algunas de las variedades de esta raza indeterminada que a\\\\u00fan no se ha podido caracterizar de manera suficiente. Entre estas, la plancha catorce se refiere a los \\\\u201cindios de la cuenca del Orinoco\\\\u201d, entre los cuales se encuentran cuatro retratos: uno de un joven de la naci\\\\u00f3n ACHAGUA, naci\\\\u00f3n que habita a orillas del r\\\\u00edo Ele y otros afluentes del Casanare; otro de un joven de la naci\\\\u00f3n SALIVA; orillas del r\\\\u00edo Sinaruco; otro de un anciano de la naci\\\\u00f3n COREGUAGE; riberas del Guayavero afluente del Guaviare; y, finalmente, uno de una joven de la naci\\\\u00f3n AMARIZANA a orillas del Guaviare. En la parte inferior, hay una referencia que dice que las im\\\\u00e1genes fueron elaboradas a partir del natural por M. Roulin. \\\\\",1819 - 1850,Europa central,Francia,,1LgS_IheyuUwN2FjXZmGMyW1iO2XF46sE,cuvier,https://www.biodiversitylibrary.org/item/135445#page/55/mode/1up,Francia,,,,,,,,,figura,tipos humanos,libro,True,145.jpg\\\\n139,Planche 14. Races Humanes. Races Americaines. Indiens du Bassin de l'Orinoque,\\\\\"Georges Cuvier, Fran\\\\u00e7ois Desir\\\\u00e9 Roulin(Dibj.)\\\\\",1836,Grabado,Grabado,papel,NI,NI,\\\\\"Cuvier, Georges, Jean Victor Audouin, Emile Blanchard, G. P. Deshayes, Georges Milne-Edwards Douvernoy, L. Doy\\\\u00e8re, L. Doy\\\\u00e8re, et\\\\u00a0al. 1836. Le r\\\\u00e8gne animal distribu\\\\u00e9 d\\\\u2019apr\\\\u00e8s son organisation, pour servir de base \\\\u00e0 l\\\\u2019histoire naturelle des animaux et d\\\\u2019introduction \\\\u00e0 l\\\\u2019anatomie compar\\\\u00e9e. Paris: Fortin, Masson et cie. https://doi.org/10.5962/bhl.title.39612. Planche 14.\\\\\",\\\\\"En el Raino animal de Cuvier, acerca de la raza de los americanos, se dice lo siguiente: \\\\\"\\\\\"Los propios americanos no han sido aun claramente relacionados con ninguna de nuestras razas del viejo continente, y sin embargo tampoco tienen un car\\\\u00e1cter a la vez preciso y constante que pueda hacer de ella una raza particular. Su tez rojo cobre no es suficiente; sus cabellos generalmente negros y su barba rala los har\\\\u00edan referirse a los mongoles, sus rasgos aleteados tan pronunciados, su nariz tan saliente como la nuestra, sus ojos grandes y abiertos, no los opon\\\\u00edan y correspond\\\\u00edan a nuestras formas europeas; sus idiomas son tan innumerables como sus tribus, y a\\\\u00fan no hemos podido captar ninguna analog\\\\u00eda demostrativa ni entre ellos ni con los del Viejo Mundo\\\\\"\\\\\". (103-104). Para fundamentar esta afirmaci\\\\u00f3n cita como referencia los viajes de Humboldt. As\\\\u00ed mismo, invoca una serie de planchas que se encuentran en el Atlas de los mam\\\\u00edferos de la edici\\\\u00f3n de los disc\\\\u00edpulos del Reino Animal en las que se ilustran algunas de las variedades de esta raza indeterminada que a\\\\u00fan no se ha podido caracterizar de manera suficiente. Entre estas, la plancha catorce se refiere a los \\\\u201cindios de la cuenca del Orinoco\\\\u201d, entre los cuales se encuentran cuatro retratos: uno de un joven de la naci\\\\u00f3n ACHAGUA, naci\\\\u00f3n que habita a orillas del r\\\\u00edo Ele y otros afluentes del Casanare; otro de un joven de la naci\\\\u00f3n SALIVA; orillas del r\\\\u00edo Sinaruco; otro de un anciano de la naci\\\\u00f3n COREGUAGE; riberas del Guayavero afluente del Guaviare; y, finalmente, uno de una joven de la naci\\\\u00f3n AMARIZANA a orillas del Guaviare. En la parte inferior, hay una referencia que dice que las im\\\\u00e1genes fueron elaboradas a partir del natural por M. Roulin. \\\\\",1819 - 1850,Europa central,Francia,,1hHSpzO9Twry6GxAkVEqUXcHSKqayrcKL,cuvier,https://www.biodiversitylibrary.org/item/135445#page/54/mode/1up,Francia,,,,,,,,,figura,tipos humanos,libro,True,146.jpg\\\\n140,Navegation sur la Magdalena (Navegaci\\\\u00f3n en el Magdalena),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,18,27.3,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP2120\\\\\",,1819 - 1850,R\\\\u00edo Magdalena,Colombia,,1EQ-9a6xwUbKuw1ow0B0kbK4yMrdd-1T6,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,147.jpg\\\\n141,Champan sur la Magdalena (Champ\\\\u00e1n en el Magdalena),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,13.2,20.2,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP3676\\\\\",,1819 - 1850,R\\\\u00edo Magdalena,Colombia,,1p50O08PyBcX3V5YtG1TDHLLlrUjncm6n,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,148.jpg\\\\n142,Bords de la Magdelaine (Orillas del Magdalena),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4076\\\\\",,1819 - 1850,R\\\\u00edo Magdalena,Colombia,,13FGSDXtbvKEt9ysUhCQc18bQBUrvEQpN,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,149.jpg\\\\n143,Bords de la Magdelaine. Le bal du petit ange (Orillas del Magdalena. El baile del angelito),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4077\\\\\",,1819 - 1850,R\\\\u00edo Magdalena,Colombia,,1XxkXBrZIuw652ecDVulHgLiivixAEQbL,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,150.jpg\\\\n144,Bords de la Magdelaine. March\\\\u00e9 \\\\u00e0 Mompox (Orillas del Magdalena. Mercado en Mompox),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4078\\\\\",,1819 - 1850,R\\\\u00edo Magdalena,Colombia,,1ozUa3Ua3bCv5xR6P1JECgzLwPkSbhOrV,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,151.jpg\\\\n145,(Orillas del Magdalena. Balsa : canoa llamada champ\\\\u00e1n),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4079\\\\\",,1819 - 1850,R\\\\u00edo Magdalena,Colombia,,1yd9O_OM_J5Hmne2Tuq6ZXteVgSgkeGMt,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,152.jpg\\\\n146,Bords de la Magdelaine. M\\\\u00e9nage d'une famille de p\\\\u00eacheur (Orillas del Magdalena. Hogar de una familia de pescadores),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4080\\\\\",\\\\\"Por su parte, las acuarelas de Roulin encontradas en 2003 tambi\\\\u00e9n se pueden interpretar en relaci\\\\u00f3n con una memoria presentada por el mismo autor a los Anales de Ciencias Naturales en 1829 acerca de los animales dom\\\\u00e9sticos tra\\\\u00eddos de Europa al Nuevo Mundo. La acuarela Bords de la Magdelaine. M\\\\u00e9nage d'une famille de p\\\\u00eacheur de 1823 parece ser una ilustraci\\\\u00f3n de ese texto en el que se menciona que las viviendas de pescadores en las orillas del Magdalena albergan \\\\u201cperros de tierra caliente\\\\u201d, cuya raza se ha deteriorado por falta de alimento y condiciones excepcionales que obligan a los animales a volver a estados salvajes. En las l\\\\u00e1minas de Roulin, como Bords de la Magdelaine, Place de St. Victorin \\\\u00e0 Bogot\\\\u00e1 o Entr\\\\u00e9e du march\\\\u00e9 de Honda, se pueden ver perros conviviendo junto a humanos en diferentes climas y regiones. Esto permite ver c\\\\u00f3mo los perros han cambiado y se han adaptado a diferentes entornos y situaciones, y c\\\\u00f3mo han afectado a, y se han visto afectados por, las comunidades en las que viven. En definitiva, las acuarelas de Roulin, en conjunto con su memoria escrita, ofrecen una visi\\\\u00f3n valiosa sobre los cambios en los animales dom\\\\u00e9sticos y su relaci\\\\u00f3n con los climas y las comunidades en el Nuevo Mundo.\\\\\",1819 - 1850,R\\\\u00edo Magdalena,Colombia,,14oqlvqdRb4rzvtzu1dFmrLoxf3djWqg-,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,153.jpg\\\\n147,Bords de la Magdelaine. Pr\\\\u00e9paration du d\\\\u00eener (Orillas del Magdalena. Preparaci\\\\u00f3n de la cena),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4081\\\\\",,1819 - 1850,R\\\\u00edo Magdalena,Colombia,,16Jn0HDIYeHhpZHVIQYv2dFTkJnyi6hC2,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,154.jpg\\\\n148,Le d\\\\u00eener \\\\u00e0 Ste. Marthe (La cena en Santa Marta),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4082\\\\\",,1819 - 1850,R\\\\u00edo Magdalena,Colombia,,1bB1P5GL46SNTmcVpcTqjb8PIu7uj5zn0,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,155.jpg\\\\n149,Entr\\\\u00e9e du march\\\\u00e9 de Honda (Entrada del mercado de Honda),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4083\\\\\",,1819 - 1850,R\\\\u00edo Magdalena,Colombia,,1rflVmaeNd0iI2CgmsnDYPsU9OfLJusqc,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,156.jpg\\\\n150,\\\\\"La montagne du Sergent, entre la ville de Honda et Guadu\\\\u00e1s (La monta\\\\u00f1a del Sargento, entre la ciudad de Honda y Guaduas)\\\\\",Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4084\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1bIjILOn-VGCs0i7oqyBH-ISjecS-Ve6j,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,157.jpg\\\\n151,\\\\\"Le Vagre, poisson de la Magdelaine. Selles, ustensiles (El bagre, pescado del Magdalena. Sillas, utensilios)\\\\\",Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4085\\\\\",,1819 - 1850,R\\\\u00edo Magdalena,Colombia,,1-LOcxzZBCr_6puiWx5tEtHv50x2wXPJu,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,158.jpg\\\\n152,La joueuse de harpe (La int\\\\u00e9rprete de harpa),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4086\\\\\",,1819 - 1850,Llanos orientales,Colombia,,1NAK6T8Ki6XYf_LODZ3W4jDl9iYzHmZjR,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,159.jpg\\\\n153,Place Major de Bogot\\\\u00e1. Douane (Plaza Mayor de Bogot\\\\u00e1. Aduana),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4087\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,12znheVFjnVQQUzqE2UiOZFAMBtZuZfY9,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,160.jpg\\\\n154,\\\\\"Place de St. Victorin, \\\\u00e0 Bogot\\\\u00e1 (Plaza de San Victorino, en Bogot\\\\u00e1)\\\\\",Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4088\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1A0aJgPT94nzLLiDXthaDeD6uqucmkEg2,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,161.jpg\\\\n155,Porte de la Guayra (Puerto de la Guaira),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4089\\\\\",,1819 - 1850,Caribe,Colombia,,1FZ0ctUarVoOgppTgN8RW8vBJIt37RZcJ,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,162.jpg\\\\n156,Danse du pays (Baile t\\\\u00edpico),Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20.3,26.7,\\\\\"Colecci\\\\u00f3n de Arte del Banco de la Rep\\\\u00fablica, reg: AP4090\\\\\",,1819 - 1850,Llanos orientales,Colombia,,1LpzrOTAW3KaAvOGU-2gAs_AuvTuUeMB9,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,figura,tipos humanos,lamina,True,163.jpg\\\\n157,Dibujo en cuaderno. Enlazando toros,Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Dibujo,papel,NI,NI,\\\\\"Marguerite Combes, Pauvre et aventureuse. Bourgeoisie. Roulin et ses amis (1796-1874), (Paris: Peyronnet, 1929)\\\\\",,1819 - 1850,Llanos orientales,Colombia,,1yez0Qo5mKQehyWZb6O13aDEPjsFX7EfS,roulin,https://descubridor.banrepcultural.org/permalink/57BDLRDC_INST/qk5q4l/alma991008927709707486,Francia,,,,,,,,,figura,tipos humanos,manuscrito,True,164.jpg\\\\n158,\\\\\"Dibujo en cuaderno, toro\\\\\",Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Dibujo,papel,NI,NI,\\\\\"Marguerite Combes, Pauvre et aventureuse. Bourgeoisie. Roulin et ses amis (1796-1874), (Paris: Peyronnet, 1929)\\\\\",,1819 - 1850,Llanos orientales,Colombia,,1NZ7UaG-c8d3rQpdWnNsEzlF_L1eY5m_W,roulin,https://descubridor.banrepcultural.org/permalink/57BDLRDC_INST/qk5q4l/alma991008927709707487,Francia,,,,,,,,,figura,tipos animales,manuscrito,True,165.jpg\\\\n159,\\\\\"Dibujo en cuaderno, perro\\\\\",Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Dibujo,papel,NI,NI,\\\\\"Marguerite Combes, Pauvre et aventureuse. Bourgeoisie. Roulin et ses amis (1796-1874), (Paris: Peyronnet, 1929)\\\\\",,1819 - 1850,Llanos orientales,Colombia,,1YYh3aH_JuCEOcv7iNZ_DuEHnmenX0Q-j,roulin,https://descubridor.banrepcultural.org/permalink/57BDLRDC_INST/qk5q4l/alma991008927709707488,Francia,,,,,,,,,figura,tipos animales,manuscrito,True,166.jpg\\\\n160,\\\\\"Dibujo en cuaderno, cargueros en mina\\\\\",Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Dibujo,papel,NI,NI,\\\\\"Marguerite Combes, Pauvre et aventureuse. Bourgeoisie. Roulin et ses amis (1796-1874), (Paris: Peyronnet, 1929)\\\\\",,1819 - 1850,Llanos orientales,Colombia,,1TZaWtKqubnQGBlt6JHhtO5xj-45nqr4v,roulin,https://descubridor.banrepcultural.org/permalink/57BDLRDC_INST/qk5q4l/alma991008927709707489,Francia,,,,,,,,,figura,tipos humanos,manuscrito,True,167.jpg\\\\n161,\\\\\"Dibujo en cuaderno, murci\\\\u00e9lago\\\\\",Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Dibujo,papel,NI,NI,\\\\\"Marguerite Combes, Pauvre et aventureuse. Bourgeoisie. Roulin et ses amis (1796-1874), (Paris: Peyronnet, 1929)\\\\\",,1819 - 1850,Llanos orientales,Colombia,,1At_JBvegO62rSY2R386L81LKazpoCJU2,roulin,https://descubridor.banrepcultural.org/permalink/57BDLRDC_INST/qk5q4l/alma991008927709707490,Francia,,,,,,,,,figura,tipos humanos,manuscrito,True,168.jpg\\\\n162,\\\\\"Dibujo en cuaderno, escena familiar\\\\\",Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Dibujo,papel,NI,NI,\\\\\"Marguerite Combes, Pauvre et aventureuse. Bourgeoisie. Roulin et ses amis (1796-1874), (Paris: Peyronnet, 1929)\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1NNfj63dS3HLb_bxh00u19ufqHHMpie7W,roulin,https://descubridor.banrepcultural.org/permalink/57BDLRDC_INST/qk5q4l/alma991008927709707491,Francia,,,,,,,,,figura,tipos humanos,manuscrito,True,169.jpg\\\\n163,Una escena de Carnaval en Bogot\\\\u00e1,Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20,27,\\\\\"Christie's, London, Topographical pictures, 6 June 1996, lot 5\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1vKxGLRLq2CinpjwSjkv-hzr_HFzzCju4,roulin,https://wellcomecollection.org/works/vkbkvn5f,Francia,,,,,,,,,figura,tipos humanos,lamina,True,170.jpg\\\\n164,Uniformes para la Escuela de Miner\\\\u00eda,Fran\\\\u00e7ois Desir\\\\u00e9 Roulin,1823,Pintura,Acuarela,papel,20,24,\\\\\"AGN, CO.AGN.SMP.4,REF.497A\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1fw_qtE9KDq6mIdPY-fh2rXgj0R80k9Aq,roulin,http://consulta.archivogeneral.gov.co/ConsultaWeb/imagenes.jsp?id=3254655&idNodoImagen=3254656&total=1&ini=1&fin=1,Francia,,,,,,,,,figura,tipos humanos,lamina,True,171.jpg\\\\n165,Mujer con Balde,Alphonse Giast [Atribuido],1830,Pintura,Acuarela,papel,30.3,38.5,\\\\\"Archivo Central Andr\\\\u00e9s Bello, N\\\\u00ba Ivent: CI_VI_107\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Chile,,1vbNs41L4zvaIwOeo-aLxKgsyL5VRv1Es,giast,https://libros.uchile.cl/files/presses/1/monographs/670/submission/proof/index.html#36,Francia,,,,,,,,,figura,tipos humanos,lamina,True,172.jpg\\\\n166,Caballero tomando T\\\\u00e9,Alphonse Giast [Atribuido],1830,Pintura,Acuarela,papel,30.3,38.5,\\\\\"Archivo Central Andr\\\\u00e9s Bello, N\\\\u00ba Ivent: CI_VI_113\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Chile,,14xbOyf0AgDfRZo7EO-_KGXo8SuaM0VZa,giast,https://libros.uchile.cl/files/presses/1/monographs/670/submission/proof/index.html#42,Francia,,,,,,,,,figura,tipos humanos,lamina,True,173.jpg\\\\n167,Taking Chocolate in Bogot\\\\u00e1,Joseph Brown [Atribuido],1840,Pintura,Acuarela,papel,NI,NI,\\\\\"Royal Geographical Society, London, UK, RGS425014\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,179ykhU_XkctOkiFux9iI6fOQ-vB7Grc8,giast,https://worldcat.org/es/title/22382447,Inglaterra,,,,,,,,,figura,tipos humanos,lamina,True,174.jpg\\\\n168,Mines de la Vega de Supia,\\\\\"Alcide d'Orbigny, Francois Desire Roulin (Dibj.)\\\\\",1836,Grabado,Grabado en talla dulce sobre acero,papel,NI,NI,\\\\\"Alcide D\\\\u2019Orbigny, Voyage pittoresque dans les deux Am\\\\u00e9riques (Chez L. Tenr\\\\u00e9, Libraire-\\\\u00e9diteur)\\\\\",\\\\\"El dibujo de Roulin del campamento en el camino de Quind\\\\u00edo fue modificado y convertido en grabado en el libro de viajes de Alcide d\\\\u2019Orbigny Voyage Pittoresque dans les deux Am\\\\u00e9riques, un popular libro contribuy\\\\u00f3 de manera significativa a la difusi\\\\u00f3n del conocimiento de la Nueva Granada. D\\\\u2019Orbigny, un especialista en moluscos, pertenec\\\\u00eda al mismo c\\\\u00edrculo cient\\\\u00edfico de Cuvier y Roulin. As\\\\u00ed como este \\\\u00faltimo, tambi\\\\u00e9n fue acreditado como \\\\u201cdisc\\\\u00edpulo\\\\u201d en la edici\\\\u00f3n del Reino Animal de 1836. De hecho, su figura juega un papel fundamental en la investigaci\\\\u00f3n acerca de la determinaci\\\\u00f3n de las caracter\\\\u00edsticas raciales de los americanos para la clasificaci\\\\u00f3n del Reino Animal de Cuvier. En el texto la l\\\\u00e1mina del campamento del Quind\\\\u00edo se titula Passage du Quindiu entre Ibagu\\\\u00e9 & Cartago. Es invocada en el contexto en el que se est\\\\u00e1 narrando el viaje desde Bogot\\\\u00e1 hasta Guayaquil. La narraci\\\\u00f3n de este tramo sigue de cerca la descripci\\\\u00f3n hecha por Humboldt en Vues. La l\\\\u00e1mina es invocada expresamente (\\\\u201cPt.X -3\\\\u201d) para aludir a los contaderos, que es el lugar en los \\\\u201caltos de las monta\\\\u00f1as\\\\u201d con fuente de agua pr\\\\u00f3xima y comida para las \\\\u201cbestias\\\\u201d en donde se establece el campamento. All\\\\u00ed d\\\\u2019Orbigny vuelve sobre un tema tratado por Humboldt en su relato. Este es el del uso del Bijao  (Bichai, se lee en el relato), la hoja de una planta que est\\\\u00e1 provista de un barniz que la hace \\\\u201cimpermeable\\\\u201d, a la que, seg\\\\u00fan he mencionado en varias ocasiones, se refiri\\\\u00f3 Humboldt. Por su parte, la l\\\\u00e1mina muestra a diversas figuras llevando a cabo actividades en el campamento. A pesar de ser producto de un calco, la composici\\\\u00f3n de la l\\\\u00e1mina de d\\\\u2019Orbigny, en comparaci\\\\u00f3n con el boceto de Roulin, muestra algunas diferencias. El plano del grabado usado por d\\\\u2019Orbigny es m\\\\u00e1s abierto. Como si se quisiera mostrar una vista general, al contrario del plano m\\\\u00e1s cerrado de Roulin que quiere detenerse en los detalles. Asimismo, hay cambios en algunas figuras. Por ejemplo, el sujeto que Combes confundi\\\\u00f3 por Boussingault, que se encuentra en el borde derecho de la l\\\\u00e1mina, ya no tiene apariencia de un sujeto distinguido, sino m\\\\u00e1s bien parece un campesino local. Tampoco se pueden apreciar los cargueros armando la tienda con las hojas de Bijao. Tambi\\\\u00e9n es de inter\\\\u00e9s la l\\\\u00e1mina Minas de la Vega de Sup\\\\u00eda que representa el siguiente tramo en el recorrido del viajero ficticio de d\\\\u2019Orbigny. Aunque no se encuentra entre las acuarelas donadas en el 2003, esta l\\\\u00e1mina es muy probablemente hecha a partir de un dibujo de Roulin.\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,Quind\\\\u00edo,1CCetyKJAxjUmT0z9MpfCFiX79__3NVng,roulin,https://archive.org/details/voyagepittoresque00orbirich/page/78/mode/2up,Francia,,,,,,,,,figura,tipos humanos,libro,True,198.jpg\\\\n169,View of the Pass From Honda to Bogot\\\\u00e1,John Potter Hamilton,1827,Grabado,Grabado,papel,NI,NI,\\\\\"Hamilton, John Potter. 1827. Travels through the Interior Provinces of Columbia. London: : John Murray, Albemarle Street. http://archive.org/details/travelsthroughin01hami.\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1RQ_x6rk8Ouplzu8Y-AtZCYsed-5ZtPbK,roulin,https://archive.org/details/gpl_1792083/page/n17/mode/2up,Inglaterra,,,,,,,,,figura,vista,libro,True,175.jpg\\\\n170,Lassing the Bulls,John Potter Hamilton,1827,Grabado,Grabado,papel,NI,NI,\\\\\"Hamilton, John Potter. 1827. Travels through the Interior Provinces of Columbia, vol II. London: : John Murray, Albemarle Street. http://archive.org/details/travelsthroughin01hami.\\\\\",,1819 - 1850,Llanos orientales,Colombia,,1ORPsrip6YFOlRN-Ls5CK3ErS2KsilEWL,roulin,https://archive.org/details/travelsthroughin02hami/page/130/mode/2up,Inglaterra,,,,,,,,,figura,tipos humanos,libro,True,176.jpg\\\\n171,View of a Cabulla on the river Suerez,John Potter Hamilton,1827,Grabado,Grabado,papel,NI,NI,\\\\\"Hamilton, John Potter. 1827. Travels through the Interior Provinces of Columbia. London: : John Murray, Albemarle Street. http://archive.org/details/travelsthroughin01hami.\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1QWs124htlVlz9D5zHvnhu4HVIGSydapg,roulin,https://archive.org/details/gpl_1792083/page/n11/mode/2up,Inglaterra,,,,,,,,,figura,vista,libro,True,177.jpg\\\\n172,Passage Across the Cabulla of Suat\\\\u00e1,John Potter Hamilton,1827,Grabado,Grabado,papel,NI,NI,\\\\\"Hamilton, John Potter. 1827. Travels through the Interior Provinces of Columbia, vol II. London: : John Murray, Albemarle Street. http://archive.org/details/travelsthroughin01hami.\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1ftaR5zNvKOzIcd3Mqc9XyjZDFl-bapOd,roulin,https://archive.org/details/travelsthroughin02hami/page/n5/mode/2up,Inglaterra,,,,,,,,,figura,vista,libro,True,178.jpg\\\\n173,Cottages and Natives at Hacienda Mondomo,John Potter Hamilton,1827,Grabado,Grabado,papel,NI,NI,\\\\\"Hamilton, John Potter. 1827. Travels through the Interior Provinces of Columbia, vol II. London: : John Murray, Albemarle Street. http://archive.org/details/travelsthroughin01hami.\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1FgPwsxR28CP85X5d0lrB6pa_7urA5Qgg,roulin,https://archive.org/details/travelsthroughin02hami/page/110/mode/2up,Inglaterra,,,,,,,,,figura,tipos humanos,libro,True,179.jpg\\\\n174,Map of the Department of Cauca dedicated to Marselino P\\\\u00e9rez Devalenca,John Potter Hamilton,1827,Grabado,Grabado,papel,NI,NI,\\\\\"Hamilton, John Potter. 1827. Travels through the Interior Provinces of Columbia.vol II London: : John Murray, Albemarle Street. http://archive.org/details/travelsthroughin01hami.\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1XuSeYYzlFsFTtvhIpPJSOv8HrLx44Ibv,,https://archive.org/details/travelsthroughin02hami/page/n7/mode/2up,Inglaterra,,,,,,,,,,mapa,libro,True,180.jpg\\\\n175,\\\\\"A Map of Colombia. Compiled from the most recent Authorities and from Original Documents, Itineraries. Engraved for Captain Cochranes Colombia by Sidney Hall\\\\\",Charles Stuart Cochrane,1825,Grabado,Grabado,papel,NI,NI,\\\\\"Cochrane, Charles Stuart. 1825. Journal of a Residence and Travels in Colombia during the Years 1823 and 1824. London : Printed for Henry Colburn, New Burlington Street. http://archive.org/details/journalaresiden01cochgoog.\\\\\",,1819 - 1850,Suram\\\\u00e9rica,Colombia,,1ZqKcVp6xSmRVxfFunVujm6rWNlilaMKQ,hall,https://archive.org/details/travelsthroughin02hami/page/n5/mode/2up,Inglaterra,,,,,,,,,,mapa,libro,True,181.jpg\\\\n176,Map of Colombia. Engraved for the modern traveller.,Conder Josiah,1825,Grabado,Grabado,papel,NI,NI,\\\\\"Conder, Josiah. 1825. The Modern Traveller. A Popular Description, Geographical, Historical, and Topographical, of the Various Countries of the Globe. Colombia. London : Printed for James Duncan ; Edinburgh : Oliver and Boyd ; Glasgow : M. Ogle ; Dublin : R.M. Tims. http://archive.org/details/colombia00cond.\\\\\",,1819 - 1850,Suram\\\\u00e9rica,Colombia,,1jOLRS4rSWwu_EXEw9dUKVvWUNr5lIzrE,hall,https://archive.org/details/colombia00cond/page/n9/mode/2up,Inglaterra,,,,,,,,,,mapa,libro,True,182.jpg\\\\n177,Colombie,\\\\\"M. Lallement, Pierre Tardieu (Dibj.)\\\\\",1826,Grabado,Grabado,papel,NI,NI,\\\\\"Lallement, M. (Guillaume). 1826. Histoire de la Colombie. Paris, A. Eymery; [etc., etc.]. http://archive.org/details/gri_33125012897654.\\\\\",\\\\\"El mapa con el que abre la obra est\\\\u00e1 rodeado por unas im\\\\u00e1genes que hacen las veces de marco, y que cumplen la funci\\\\u00f3n de complementar la informaci\\\\u00f3n cartogr\\\\u00e1fica con un acercamiento corogr\\\\u00e1fico, aportando informaci\\\\u00f3n visual sobre vistas, tipos sociales y personajes notables que pueden hallarse en el territorio descrito por el mapa. En este marco de im\\\\u00e1genes destaca Bol\\\\u00edvar, quien preside la parte superior en el centro. A sus lados se encuentra una vista del Puente de Pandi y otra del salto de Tequendama. En la parte inferior podemos observar, ocupando toda la secci\\\\u00f3n, al Chimborazo. En los costados se encuentran algunos tipos sociales tomados del relato de Gaspar Mollien publicado en 1825, que a su vez fueron tomados de originales de Francois Desir\\\\u00e9 Roulin. En primer lugar, es necesario resaltar que las vistas usadas fueron popularizadas por Humboldt en su obra Vues des Cordill\\\\u00e8ras y fueron reproducidas por un buen n\\\\u00famero de viajeros que, a lo largo del siglo XIX, siguieron sus pasos. Tambi\\\\u00e9n es necesario resaltar que la mayor\\\\u00eda de las im\\\\u00e1genes, excepto la del Chimborazo, se refieren a tipos y vistas de las tierras altas de la Nueva Granada. Asimismo, las monta\\\\u00f1as de la cordillera de los Andes, del mismo modo que en el mapa de Humboldt y otras autoridades recientes, han sido resaltadas de modo dram\\\\u00e1tico.\\\\\",1819 - 1850,Suram\\\\u00e9rica,Colombia,,1CbOoiNY_zFjkA9-WOSuzCy9H3lFqIWa4,roulin,https://archive.org/details/gri_33125012897654/page/n7/mode/2up,Francia,,,,,,,,,,mapa,libro,True,183.jpg\\\\n178,Indiens de la plaine de Bogota (Ind\\\\u00edgenas de la Sabana de Bogot\\\\u00e1),Fran\\\\u00e7ois Desir\\\\u00e9e Roulin (dib.) Legrand (grab.),1824,Grabado,Aguafuerte,papel,NI,NI,\\\\\"Mollien, Gaspard Th\\\\u00e9odore. 1824. Voyage dans la R\\\\u00e9publique de Colombia, en 1823. A Paris : Chez Arthus Bertrand, Libraire, Rue Hautefeuille, No 23. http://archive.org/details/voyagedanslarpub02moll.\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,16RQZ3iN_Ce9wQYCKOXk1FPt9dI-XDqpk,roulin,https://archive.org/details/voyagedanslarpub01moll/page/76/mode/2up,Francia,,,,,,,,,,tipos humanos,libro,True,184.jpg\\\\n179,Dame de la Cordillere. Dame des Plaines ( Dama de la cordillera. Dama de la sabana),Fran\\\\u00e7ois Desir\\\\u00e9e Roulin (dib.) Legrand (grab.),1825,Grabado,Aguafuerte,papel,NI,NI,\\\\\"Mollien, Gaspard Th\\\\u00e9odore. 1825. Voyage dans la R\\\\u00e9publique de Colombia, en 1823. A Paris : Chez Arthus Bertrand, Libraire, Rue Hautefeuille, No 23. http://archive.org/details/voyagedanslarpub02moll.\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1ySUpArp_RHELCAvBXUaUaokmR8kEfNQ8,roulin,https://archive.org/details/voyagedanslarpub02moll/page/n11/mode/2up,Francia,,,,,,,,,,tipos humanos,libro,True,185.jpg\\\\n180,M de Volaille. Mendiant. Manoevoore (Vendedora de aves. Mendigo),Fran\\\\u00e7ois Desir\\\\u00e9e Roulin (dib.) Legrand (grab.),1824,Grabado,Aguafuerte,papel,NI,NI,\\\\\"Mollien, Gaspard Th\\\\u00e9odore. 1824. Voyage dans la R\\\\u00e9publique de Colombia, en 1823. A Paris : Chez Arthus Bertrand, Libraire, Rue Hautefeuille, No 23. http://archive.org/details/voyagedanslarpub02moll.\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1sxgN0h1CcME-usl5C0ewGfrFnBHRiXZ7,roulin,https://archive.org/details/voyagedanslarpub01moll/page/270/mode/2up,Francia,,,,,,,,,,tipos humanos,libro,True,186.jpg\\\\n181,Pr\\\\u00e9tre. Riche Bourgeois. Gen. en chef de la Rep\\\\u00fablique. (Sacerdote. Rico burgu\\\\u00e9s. Gral en jefe de la Rep\\\\u00fablica),Fran\\\\u00e7ois Desir\\\\u00e9e Roulin (dib.) Legrand (grab.),1824,Grabado,Aguafuerte,papel,NI,NI,\\\\\"Mollien, Gaspard Th\\\\u00e9odore. 1824. Voyage dans la R\\\\u00e9publique de Colombia, en 1823. A Paris : Chez Arthus Bertrand, Libraire, Rue Hautefeuille, No 23. http://archive.org/details/voyagedanslarpub02moll.\\\\\",,1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1--oN4CO3HGfI5sY3RvwDAD57pTIlVV48,roulin,https://archive.org/details/voyagedanslarpub01moll/page/n299/mode/2up,Francia,,,,,,,,,,tipos humanos,libro,True,187.jpg\\\\n182,Carte de la R\\\\u00e9publique de Colombia,Gaspard Th\\\\u00e9odore Mollien,1825,Grabado,Aguafuerte,papel,NI,NI,\\\\\"Mollien, Gaspard Th\\\\u00e9odore. 1825. Voyage dans la R\\\\u00e9publique de Colombia, en 1823. A Paris : Chez Arthus Bertrand, Libraire, Rue Hautefeuille, No 23. http://archive.org/details/voyagedanslarpub02moll.\\\\\",,1819 - 1850,Suram\\\\u00e9rica,Colombia,,1AaiUy8IJ5Lq5yNOQn1hHaWVklLvdj9ri,,https://archive.org/details/voyagedanslarpub02moll/page/310/mode/2up,Francia,,,,,,,,,,mapa,libro,True,188.jpg\\\\n183,Indian Family of the Caribee Nation,Michele Benedetti,1796,Grabado,Aguafuerte,papel,NI,NI,\\\\\"Stedman, John Gabriel. 1796. Narrative, of a Five Years\\\\u2019 Expedition, against the Revolted Negroes of Surinam, in Guiana, on the Wild Coast of South America, from the Year 1772, to 1777 : Elucidating the History of That Country, and the Description of Its Productions, Viz. Quadrupedes, Birds, Fishes, Reptiles, Trees, Shrubs, Fruits, & Roots; with an Account of the Indians of Guiana, & Negroes of Guinea. By Captn. J.G. Stedman. Illustrated with 80 Elegant Engravings, Designed from Nature, by the Author. Vol. I. London : Printed by J. Johnson, St. Pauls Church Yard, & J. Edwards, Pall Mall. http://archive.org/details/narrativeoffivey01sted_0.\\\\\",,1750 - 1810,Caribe,Surinam,,1FiqOTDtaNdqUD05IneXN7_NktebMIim9,stedman,https://archive.org/details/narrativeoffivey01sted_0/page/n493/mode/2up?view=theater,Inglaterra,,,,,,,,,,tipos humanos,libro,True,189.jpg\\\\n184,Indian Female of the Arrouwaka Nation,Michele Benedetti,1796,Grabado,Aguafuerte,papel,NI,NI,\\\\\"Stedman, John Gabriel. 1796. Narrative, of a Five Years\\\\u2019 Expedition, against the Revolted Negroes of Surinam, in Guiana, on the Wild Coast of South America, from the Year 1772, to 1777 : Elucidating the History of That Country, and the Description of Its Productions, Viz. Quadrupedes, Birds, Fishes, Reptiles, Trees, Shrubs, Fruits, & Roots; with an Account of the Indians of Guiana, & Negroes of Guinea. By Captn. J.G. Stedman. Illustrated with 80 Elegant Engravings, Designed from Nature, by the Author. Vol. II. London : Printed by J. Johnson, St. Pauls Church Yard, & J. Edwards, Pall Mall. http://archive.org/details/narrativeoffivey02sted_0.\\\\\",,1750 - 1810,Caribe,Surinam,,1xm3Nszci7QfoMr17WbkOOoBHuhafDERl,stedman,https://archive.org/details/narrativeoffivey02sted_0/page/190/mode/2up,Inglaterra,,,,,,,,,,tipos humanos,libro,True,190.jpg\\\\n185,A Negro hung alive by the Ribs to a Gallows,William Blake,1796,Grabado,Aguafuerte,papel,NI,NI,\\\\\"Stedman, John Gabriel. 1796. Narrative, of a Five Years\\\\u2019 Expedition, against the Revolted Negroes of Surinam, in Guiana, on the Wild Coast of South America, from the Year 1772, to 1777 : Elucidating the History of That Country, and the Description of Its Productions, Viz. Quadrupedes, Birds, Fishes, Reptiles, Trees, Shrubs, Fruits, & Roots; with an Account of the Indians of Guiana, & Negroes of Guinea. By Captn. J.G. Stedman. Illustrated with 80 Elegant Engravings, Designed from Nature, by the Author. Vol. I. London : Printed by J. Johnson, St. Pauls Church Yard, & J. Edwards, Pall Mall. http://archive.org/details/narrativeoffivey01sted_0.\\\\\",,1750 - 1810,Caribe,Surinam,,1JtPXItZN7GuosYeEP60IhtsEpurA1cmx,stedman,https://archive.org/details/narrativeoffivey01sted_0/page/n163/mode/2up,Inglaterra,,,,,,,,,,tipos humanos,libro,True,191.jpg\\\\n186,Flagelation of a Female Samboe Slave,William Blake,1796,Grabado,Aguafuerte,papel,NI,NI,\\\\\"Stedman, John Gabriel. 1796. Narrative, of a Five Years\\\\u2019 Expedition, against the Revolted Negroes of Surinam, in Guiana, on the Wild Coast of South America, from the Year 1772, to 1777 : Elucidating the History of That Country, and the Description of Its Productions, Viz. Quadrupedes, Birds, Fishes, Reptiles, Trees, Shrubs, Fruits, & Roots; with an Account of the Indians of Guiana, & Negroes of Guinea. By Captn. J.G. Stedman. Illustrated with 80 Elegant Engravings, Designed from Nature, by the Author. Vol. I. London : Printed by J. Johnson, St. Pauls Church Yard, & J. Edwards, Pall Mall. http://archive.org/details/narrativeoffivey01sted_0.\\\\\",,1750 - 1810,Caribe,Surinam,,1Xyqnjiv3nJRdgEgVf82pOSz9o9xRDqXV,stedman,https://archive.org/details/narrativeoffivey01sted_0/page/n429/mode/2up?view=theater,Inglaterra,,,,,,,,,,tipos humanos,libro,True,192.jpg\\\\n187,A Surinam Planter in his Morning Dress,Francesco Bartolozzi,1796,Grabado,Aguafuerte,papel,NI,NI,\\\\\"Stedman, John Gabriel. 1796. Narrative, of a Five Years\\\\u2019 Expedition, against the Revolted Negroes of Surinam, in Guiana, on the Wild Coast of South America, from the Year 1772, to 1777 : Elucidating the History of That Country, and the Description of Its Productions, Viz. Quadrupedes, Birds, Fishes, Reptiles, Trees, Shrubs, Fruits, & Roots; with an Account of the Indians of Guiana, & Negroes of Guinea. By Captn. J.G. Stedman. Illustrated with 80 Elegant Engravings, Designed from Nature, by the Author. Vol. II. London : Printed by J. Johnson, St. Pauls Church Yard, & J. Edwards, Pall Mall. http://archive.org/details/narrativeoffivey02sted_0.\\\\\",,1750 - 1810,Caribe,Surinam,,1EGXUj5W7-MNpjD_q1Rr-ddifFe67EvYz,stedman,https://archive.org/details/narrativeoffivey02sted_0/page/56/mode/2up,Inglaterra,,,,,,,,,,tipos humanos,libro,True,193.jpg\\\\n188,Die Ausstellungsrotunde f\\\\u00fcr das Panorama deutscher Kolonien in Berlin,Illustrirte Zeitung,1886,Grabado,Grabado,papel,NI,NI,Illustrirte Zeitung. 1886. v. 86. J.J. Weber. https://books.google.com.co/books?id=eyfxqPwjAzoC.,\\\\\"La conexi\\\\u00f3n entre im\\\\u00e1genes, textos con gran carga visual y el uso de dispositivos visuales protot\\\\u00edpicos del siglo XIX (dioramas, panoramas, georamas) durante una \\\\u00e9poca de grandes transformaciones en las pr\\\\u00e1cticas de observaci\\\\u00f3n no es algo excepcional. Humboldt aludi\\\\u00f3 a ella en uno de los cap\\\\u00edtulos del segundo tomo de Cosmos publicado en 1847 denominado \\\\u201cSobre la Influencia de la pintura de paisaje en el estudio de la naturaleza\\\\u201d. All\\\\u00ed Humboldt reconoce la importancia que los grabados que acompa\\\\u00f1an sus \\\\u201crelaciones de viaje\\\\u201d tienen al \\\\u201cdar a conocer la fisionom\\\\u00eda de las zonas lejanas, a extender la afici\\\\u00f3n a los viajes por las zonas tropicales y a estimular activamente el estudio de la Naturaleza\\\\u201d, pero se queja del modo poco satisfactorio en que han permanecido. Este comentario es significativo, ya que se refiere a las l\\\\u00e1minas que aparecen en los libros de viajeros, que, a pesar de sus resultados insatisfactorios, se utilizan para estimular el viaje. Humboldt ve en nuevos medios visuales la posibilidad de aprovechar al m\\\\u00e1ximo el potencial que estas l\\\\u00e1minas no logran realizar. En \\\\\"\\\\\"las decoraciones de los teatros, los panoramas, los dioramas, neoramas y toda la pintura de grandes dimensiones\\\\\"\\\\\", el viajero prusiano ve la oportunidad de producir una impresi\\\\u00f3n m\\\\u00e1s general y m\\\\u00e1s fuerte del paisaje, lo que permite \\\\\"\\\\\"casi dispensarse de viajar por lejanos climas\\\\\"\\\\\". \\\\\",1864 - 1902,Europa central,Alemania,,1eWgmEAEJ4rwzNC_lyJ4kCE-h0egGrc3n,aparatos,https://www.google.com.co/books/edition/_/eyfxqPwjAzoC?sa=X&ved=2ahUKEwiZ9_iV8aT-AhWrUjABHdDqAbkQre8FegQIARAY,Alemania,,,,,,,,,,vista,prensa,True,194.jpg\\\\n189,Vue du Ch\\\\u00e2teau d'eau Prise du Boulevard Saint Martin,\\\\\"Nicolas Gengel, Adrien Dembour\\\\\",1834,Grabado,Litograf\\\\u00eda,papel,NI,NI,\\\\\"Neue Wahrheit? Kleine Wunder!, Museum Georg Schafer Schweinfurt, 2021, fig 26\\\\\",\\\\\"Jean Baptiste Boussingault, el viajero franc\\\\u00e9s compa\\\\u00f1ero de Francois Desir\\\\u00e9 Roulin y Mariano Rivero en una expedici\\\\u00f3n gestionada por Francisco Antonio Zea, recibi\\\\u00f3 en 1822, justo antes de partir en su viaje, una carta en la que su amigo Vandet le informaba de la novedad parisina del Diorama: \\\\u201cNada nuevo en Par\\\\u00eds, excepto el Diorama. Un nuevo teatro ofrecido a amigos de las bellas artes, un espect\\\\u00e1culo m\\\\u00e1gico que atrae a multitudes de personas curiosas por el aire fresco, ofrece en sus ojos la catedral de Canterbury, en Inglaterra, el Valle de Saarnen, Suiza; Los encantadores son Daguerre, Bouton, Menus-Plaisirs. Todos aceptan encontrar eso por encima de lo que uno puede decir. Vuelve y pasa el poco tiempo que tienes en la vieja Europa\\\\u201d. Vandet hace referencia a una innovaci\\\\u00f3n reciente en el \\\\u00e1mbito de los espect\\\\u00e1culos visuales: el diorama. El espect\\\\u00e1culo ten\\\\u00eda lugar en un edificio especialmente construido para controlar los efectos deseados. Los espectadores se reun\\\\u00edan en una sala oscura para observar pantallas iluminadas que permit\\\\u00edan ver los objetos en cierta profundidad. Con juegos de luces y proyecciones, se lograban efectos de cambio entre el d\\\\u00eda y la noche o entre la primavera y el invierno. A\\\\u00f1os despu\\\\u00e9s, Boussingault utilizar\\\\u00e1 el Diorama para ilustrar el tipo de experiencia sensible que tuvo en Riobamba al contemplar al Chimborazo. Desde all\\\\u00ed afirma que \\\\u201cRiobamba presenta quiz\\\\u00e1 el diorama m\\\\u00e1s singular del universo\\\\u201d. \\\\\",1819 - 1850,Europa central,Francia,,1VbLFgKZTID9BvF7XOMQI1lp4Yb55RAe1,aparatos,https://www.flickr.com/photos/photohistorytimeline/26800202318/in/album-72157710659586763/,Francia,,,,,,,,,,vista,lamina,True,195.jpg\\\\n190,71.e Vue d'Optique Representant Le Palais des Tuileries du c\\\\u00f4t\\\\u00e9 de la Cour,An\\\\u00f3nimo,1775,Grabado,Aguafuerte,papel,NI,NI,71.e Vue d\\\\u2019Optique Representant Le Palais des Tuileries du c\\\\u00f4t\\\\u00e9 de la Cour : [estampe] / [non identifi\\\\u00e9]. 1775. https://gallica.bnf.fr/ark:/12148/btv1b6948728x.,\\\\\"En el poblado venezolano de San Luis de Cura, se encontr\\\\u00f3 con que los habitantes se reun\\\\u00edan por las noches para admirar vistas de las principales capitales europeas a trav\\\\u00e9s de un aparato visual llamado Peep Box. Con este dispositivo, pudieron observar el castillo de Tuller\\\\u00edas y la estatua del Gran Elector de Berl\\\\u00edn, lo que gener\\\\u00f3 en Humboldt una sensaci\\\\u00f3n especial al contemplar su lugar de nacimiento desde la distancia.  El Peep Box, tambi\\\\u00e9n conocido como Peep Show o Rare Show, era un espect\\\\u00e1culo ambulante muy popular en el siglo XVIII, presentado por viajeros y vendedores ambulantes que anunciaban el show mediante pregones.  Este espect\\\\u00e1culo consist\\\\u00eda en una mirilla que permit\\\\u00eda observar vistas que cambiaban de noche a d\\\\u00eda o de invierno a primavera gracias a un sistema de iluminaci\\\\u00f3n. \\\\\",1750 - 1810,Europa central,Francia,,1EG6fWYWFBEuVdMZZmLFKnd45bxYGkb03,aparatos,https://gallica.bnf.fr/ark:/12148/btv1b6948728x.item,Francia,,,,,,,,,,vista,lamina,True,196.jpg\\\\n191,Plate X. A man with a Raree Show,George Henry Mason,1800,Grabado,Grabado,papel,NI,NI,\\\\\"Mason, George Henry. 1800. The Costume of China. London : Printed for W. Miller. http://archive.org/details/costumeofchina1800maso.\\\\\",\\\\\"La experiencia de contemplar el Peep Box no solo era una forma de viajar y descubrir nuevos lugares, sino tambi\\\\u00e9n de estimular la imaginaci\\\\u00f3n y explorar las posibilidades del viaje. Para Humboldt, esta experiencia fue ir\\\\u00f3nica, ya que viaj\\\\u00f3 hasta un conf\\\\u00edn del mundo para darse cuenta de que su lugar de origen tambi\\\\u00e9n pod\\\\u00eda ser exotizado por otro punto de vista.  A partir de 1800, la pr\\\\u00e1ctica de llevar el Peep Box a lugares remotos se hab\\\\u00eda extendido por todo el mundo. As\\\\u00ed como los residentes de San Luis de Cura admiraron la estatua del Gran Elector de Berl\\\\u00edn junto con Humboldt, tambi\\\\u00e9n se registraron escenas similares en lugares como Pek\\\\u00edn, donde los habitantes locales observaban las vistas con asombro, como se muestra en la l\\\\u00e1mina X de \\\\\"\\\\\"The Costume of China\\\\\"\\\\\" de George Henry Mason. \\\\\",1750 - 1810,Lejano oriente,China,,1VEcmco3s3XB1LIsiS-Pf-Lb7_1wE5cB4,aparatos,https://archive.org/details/costumeofchina1800maso/page/n57/mode/2up?view=theater,Inglaterra,,,,,,,,,,tipos humanos,libro,True,197.jpg\\\\n192,Montaje de los perros en la obra de Roulin,Fran\\\\u00e7ois Desir\\\\u00e9e Roulin,1823,Montaje,Photoshop,digital,NI,NI,Colecci\\\\u00f3n de arte del Banco de laRep\\\\u00fablica,\\\\\"Las acuarelas de Roulin encontradas en 2003 tambi\\\\u00e9n se pueden interpretar en relaci\\\\u00f3n con una memoria presentada por el mismo autor a los Anales de Ciencias Naturales en 1829 acerca de los animales dom\\\\u00e9sticos tra\\\\u00eddos de Europa al Nuevo Mundo. La acuarela Bords de la Magdelaine. M\\\\u00e9nage d'une famille de p\\\\u00eacheur de 1823 parece ser una ilustraci\\\\u00f3n de ese texto en el que se menciona que las viviendas de pescadores en las orillas del Magdalena albergan \\\\u201cperros de tierra caliente\\\\u201d, cuya raza se ha deteriorado por falta de alimento y condiciones excepcionales que obligan a los animales a volver a estados salvajes. En las l\\\\u00e1minas de Roulin, como Bords de la Magdelaine, Place de St. Victorin \\\\u00e0 Bogot\\\\u00e1 o Entr\\\\u00e9e du march\\\\u00e9 de Honda, se pueden ver perros conviviendo junto a humanos en diferentes climas y regiones. Esto permite ver c\\\\u00f3mo los perros han cambiado y se han adaptado a diferentes entornos y situaciones, y c\\\\u00f3mo han afectado a, y se han visto afectados por, las comunidades en las que viven. En definitiva, las acuarelas de Roulin, en conjunto con su memoria escrita, ofrecen una visi\\\\u00f3n valiosa sobre los cambios en los animales dom\\\\u00e9sticos y su relaci\\\\u00f3n con los climas y las comunidades en el Nuevo Mundo.\\\\\",1819 - 1850,Monta\\\\u00f1as andinas,Colombia,,1U4eTv5Lp5HgKUGRWouaED2tknBUR3v9p,roulin,https://www.banrepcultural.org/coleccion-de-arte/artista/fran%C3%A7ois-d%C3%A9sir%C3%A9-roulin,Francia,,,,,,,,,,,,True,199.jpg\\\\n\", \"scenes\": {\"start\": {\"viz\": {\"filter\": [], \"type\": \"compare\", \"x\": 6, \"y\": 11}, \"title\": \"A comparison between Humboldt's and Roulin's Carguero models\", \"text\": \"Consider two models of the Carguero (Man carrier), the representation of subalternized people that were used as means of transport in the harsh geographical accidents of nineteenth-century Colombia, and other places in South America. The first model comes from the famous Prussian naturalist Alexander von Humboldt, who, in his diary, and later in his work Vues des Cordill\\\\u00e8res, recorded his encounter with a Carguero named Villanero. His description of the encounter became famous and a point of reference for a large number of travelers when describing their own experiences. The second one is the model of Fran\\\\u00e7ois Desir\\\\u00e9 Roulin, a scientific traveler who made part of an expedition composed of French professionals recommended by Georges Cuvier and Alexander von Humboldt to the plenipotentiary minister of Gran Colombia, Francisco Antonio Zea.<br>Note: the panels in this Atlas contain clickable areas.\", \"options\": [{\"btn\": \"Continue main route\", \"scene\": \"scatterPeriodoFigura\"}]}, \"scatterPeriodoFigura\": {\"viz\": {\"filter\": [[\"fecha\", \"<\", 1900], [\"otros\", \"=\", \"false\"]], \"type\": \"scatter\", \"x\": \"periodo\", \"y\": \"figura/fondo\"}, \"title\": \"Figure/Background vs. Period\", \"text\": \"This panel shows that there are more images in the 'background' (fondo) and 'balance' (equilibrio) categories in the period between 1770 and 1810 than in other periods, that is, there is a predominance of representations of the Carguero as a part of the landscape, rather than as the center of attention. Images from the late colonial period (1770-1810) participated in a transformation in visual epistemology characterized by presenting different human classifications, understood as castes or nations, in their immediate geographical contexts, including the animal and botanical varieties peculiar to them.\", \"options\": [{\"btn\": \"Continue main route\", \"scene\": \"pack1750_1810\"}, {\"btn\": \"Detour: 'Quadro del Per\\\\u00fa'\", \"scene\": \"detour1\"}]}, \"detour1\": {\"meta\": 1, \"text\": \"From <a href='https://flacso.edu.ec/laglobal/cabinet/artificialia/quadro-del-peru/' target='_blank'>CLACSO's LAGLOBAL</a>: 'The Quadro\\\\u2019s primary author was Jos\\\\u00e9 Ignacio de Lequanda (Vizcaya 1748 \\\\u2013 Cadiz 1800). The illustrations were made by Louis Thiebaut from many sources, including the so-called Trujillo del Per\\\\u00fa Codex (1782\\\\u201385) and the Malaspina Expedition (1789-1794). Lequanda resided for most of his productive life in Lima, where he contributed to the Mercurio Peruano (1791\\\\u201394). The material of the Quadro is oil on canvas but it is distinguished by its unusual dimensions (331 cm \\\\u00d7 118 cm) and composition: 195 scenes with 381 figures surrounded by explanatory text. In addition, the framed canvas is crowned and gilded with twin cornucopias graced by a sheaf of arrows, symbolising the bounty or \\\\u2018treasure\\\\u2019 of the New World under Hispanic Monarchy. The two central geographical images (an east-up map of central Peru, and below it a profile view of the rich mines at Hualgayoc) form an axis that represents the new economic centre of 18th-century Peru, which had shifted from Potos\\\\u00ed to the region adjacent to Lima. The central region united three major ecological and productive zones. In the Quadro, this vertical economic geography is represented by the unfolding of a concentric sequence of niches populated by fishes and amphibians, small and large quadrupeds, simians, and humans. The latter is divided in two classes, \\\\u2018civilised\\\\u2019 (or coastal and highland) and \\\\u2018savage\\\\u2019 (or Amazonian), with each composed of 16 \\\\u2018nations\\\\u2019. Birds occupy the perimeter of the Quadro, seemingly lifting the entire canvas on their wings. In a word, the Quadro is a tableau that reveals in a synoptic visual field what today we call \\\\u2018biodiversity\\\\u2019 but which in enlightened circles of the times was called \\\\u2018the idea of Peru.\\\\u2019 This \\\\u2018idea\\\\u2019 held that Peru was a mirror of the universe and the crown jewel of Hispanic Empire'.\", \"areas\": [{\"x\": 424, \"y\": 348, \"w\": 621, \"h\": 338, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"nacionesCivilizadas\"}, {\"x\": 1293, \"y\": 329, \"w\": 395, \"h\": 417, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"detalleNacionSalvaje\"}]}, \"nacionesCivilizadas\": {\"meta\": 2, \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"scatterPeriodoFigura\"}]}, \"detalleNacionSalvaje\": {\"meta\": 107, \"title\": \"Detail of 'Quadro del Per\\\\u00fa': wild nations\", \"text\": \"The two characters depicted here were protagonists of a network of model copying (the 'visible empire' in the words of Art Historian Daniela Bleichmar), exemplary of the practices of image circulation used to govern from a distance, coordinate between administrative units, and circulate knowledge in the late eighteenth century Hispanic empire.\", \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"scatterPeriodoFigura\"}], \"areas\": [{\"x\": 637, \"y\": 392, \"w\": 1274, \"h\": 783, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"relacion\"}]}, \"relacion\": {\"meta\": 106, \"title\": \"Detail of Viceroy Gil de Taboada's Government report\", \"text\": \"For instance, these images were used in a government report where Viceroy Gil de Taboada addressed his successor, Ambrosio O'Higgins, Marquess of Osorno. This report, concluded in 1796, was elaborated by two of the advisers of the former ruler: Hip\\\\u00f3lito Unanue and the accountant Jos\\\\u00e9 Ignacio de Lecuanda.\", \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"scatterPeriodoFigura\"}], \"areas\": [{\"x\": 220, \"y\": 215, \"w\": 440, \"h\": 430, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"indiosMalaspina\"}]}, \"indiosMalaspina\": {\"meta\": 103, \"title\": \"Bauza collection form Malaspina Expedition\", \"text\": \"The characters originally belonged to a series of plates made in the context of the Malaspina expedition, currently located in the Museum of America in Madrid under the 'Bauza collection'. The images refer to Peru. The botanists Luis N\\\\u00e9e, Tadeo Haenke and the commissioners of the Viceroy Gil de Taboada, Juan Tafalla and Francisco del Pulgar, participated in this enterprise. One of the most important areas of exploration was coming in direct contact with native populations of the Amazon. In their visual composition, some of these images put together two types of Indians from a given region and add an explanatory text.\", \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"scatterPeriodoFigura\"}], \"areas\": [{\"x\": 547, \"y\": 273, \"w\": 374, \"h\": 540, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"indioIquito\"}]}, \"indioIquito\": {\"meta\": 104, \"title\": \"Bauza collection form Malaspina Expedition\", \"text\": \"The authorship of these images is under discussion. They are generally attributed to an anonymous painter and sometimes to Tadeo Haenke. Although all the images are in the same collection, and it has traditionally been assumed that they were made in the context of the Malaspina Expedition, there are doubts about authorship consistency between the images that present the Indians in pairs and those that present them individually. On the one hand, based on a formal study of the style, the ink and the paper used, Fernando Villegas has affirmed that the first series of images were not elaborated by the expeditionaries of the Malaspina Expedition but were made during the exploration of Governor Francisco Requena and the priest Gribal. On the other hand, Peralta Ruiz affirms that the resemblance between the two series of images proves that the expeditionaries in charge of Malaspina (Nee and Haneke) came across Gribal and Requena and allowed them to copy their drawings.\", \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"scatterPeriodoFigura\"}]}, \"pack1750_1810\": {\"viz\": {\"filter\": [[\"periodo\", \"=\", \"1750 - 1810\"], [\"otros\", \"=\", \"false\"]], \"type\": \"pack\", \"x\": \"figura/fondo\", \"y\": \"figura/fondo\"}, \"title\": \"Figure/background in the 1750 - 1810 period\", \"text\": \"Variations around the idea of placing human types in their geographical and natural contexts can be seen in Vicente Alb\\\\u00e1n's mestizaje paintings, and in Quadro del Per\\\\u00fa commissioned by Ignacio Lecuanda. This transformation is, paradigmatically, also present in Humboldt's Plate V of Vues des Cordill\\\\u00e8res, depicting the Carguero. There is a balance in representation of natural objects along with the activities of the Carguero, as they are all illustrative elements of the use of plants, means of transport, and other particularities of Andean verticality. This explains why during this period the 'balance' (equilibrio) category is preponderant\", \"options\": [{\"btn\": \"Continue main route\", \"scene\": \"scatterRoulin\"}, {\"btn\": \"Detour through 'Plate V of Vues des Cordill\\\\u00e8res'\", \"scene\": \"detour2\"}]}, \"detour2\": {\"meta\": 6, \"text\": \"Plate V of Vues, showing the passage of the Quind\\\\u00edo region, is an important window to Humboldt's conceptions about the mixing art and science for the purpose of sensitively presenting vertical American nature. Oliver Lubrich refers to plate V of Vues as a multiple perspective drawing, designed from the points of view of different disciplines, and open to diverse readings. The image can offer aesthetic enjoyment and relevant information to botanists, geologists, mineralogists, and meteorologists. This is because there are plants, landscapes, cloud formations, geological profiles, villages, an inter-Andean valley, an eastern mountain range, multiple signs that show the climate, vegetation, location, and social and productive activities that are carried out with plants and natural resources in general. In addition, it tells a sociological and political story related to Cargueros who work with travelers and who stage a series of socual oppositions and complexities typical of the mountainous Andean world, colonial society, and global society in aprocess of transformation. In the image we see a Carguero who stares at the viewer while walking with his empty chair, probably the one that should have been occupied by Humboldt, who refused to use the service. In this sense, it could be said that the image is a 'picture or scene of nature' which presents a careful organization of the landscape so that various natural and cultural phenomena interact and account for organic functioning.\", \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"pack1750_1810\"}, {\"btn\": \"Humboldt as source model\", \"scene\": \"humboldtPack\"}], \"areas\": [{\"x\": 907, \"y\": 660, \"w\": 316, \"h\": 474, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"villanero\"}, {\"x\": 1225, \"y\": 619, \"w\": 273, \"h\": 547, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"agave\"}, {\"x\": 615, \"y\": 342, \"w\": 727, \"h\": 453, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"humboldtPack\"}]}, \"villanero\": {\"meta\": 122, \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"pack1750_1810\"}], \"areas\": [{\"x\": 157, \"y\": 242, \"w\": 120, \"h\": 154, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"bijao\"}]}, \"bijao\": {\"meta\": 119, \"text\": \"The Cargueros act as guides and make it possible to cross the difficult path, not only because of their physical strength, but also because of the knowledge they have of the landscape they inhabit. They know the signs of the terrain, climate, and usefulness of plants. The same Carguero, the one in the image that stares at the viewer and has an empty chair, carries in his hands some bijao leaves that, the story tells us, will later be used to make tents and shelter from the rain.Humboldt draws the bijao leaves in his diary\", \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"pack1750_1810\"}]}, \"agave\": {\"meta\": 120, \"text\": \"There is a flowering Fique or Agave on the right side of the Plate V of Vues. This plant is used for the elaboration of ropes that tie the Bijao leaves and secure the tents. In Humboltd's diaries, there are drawings of the tents specifying how to tie them so that they are resistant. In the story, these plants are considered regarding their geographical location in relation to altitude, taxonomically by being categorized into families and species, and by their usefulness by speculating about their industrial applications.\", \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"pack1750_1810\"}]}, \"humboldtPack\": {\"viz\": {\"filter\": [[\"modelo\", \"=\", \"humboldt\"], [\"otros\", \"=\", \"false\"]], \"type\": \"pack\", \"x\": \"modelo\", \"y\": \"modelo\"}, \"title\": \"Humboldt as source model\", \"text\": \"\", \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"pack1750_1810\"}]}, \"scatterRoulin\": {\"viz\": {\"filter\": [[\"fecha\", \"<\", 1900], [\"otros\", \"=\", \"false\"]], \"type\": \"scatter\", \"x\": \"periodo\", \"y\": \"modelo\"}, \"title\": \"Source model vs. Period\", \"text\": \"As seen in this panel the most used model during the period '1819 \\\\u2013 1850' was Roulin\\\\u2019s...\", \"options\": [{\"btn\": \"Continue main route\", \"scene\": \"packRoulin\"}]}, \"packRoulin\": {\"viz\": {\"filter\": [[\"fecha\", \"<\", 1900], [\"periodo\", \"=\", \"1819 - 1850\"], [\"otros\", \"=\", \"false\"]], \"type\": \"pack\", \"x\": \"periodo\", \"y\": \"modelo\"}, \"title\": \"Source model in the 1819 - 1850 period\", \"text\": \"As an alternate visualization, Roulin's predominance can also be seen in this hierarchichal disposition of source models in the 1819 - 1850 period.\", \"options\": [{\"btn\": \"Continue main route\", \"scene\": \"packHumboldtPeriodo\"}]}, \"packHumboldtPeriodo\": {\"viz\": {\"filter\": [[\"fecha\", \"<\", 1900], [\"otros\", \"=\", \"false\"], [\"modelo\", \"=\", \"humboldt\"]], \"type\": \"pack\", \"x\": \"periodo\", \"y\": \"figura/fondo\"}, \"title\": \"Humboldt's Figure/Background and Periods\", \"text\": \"This panel shows that, in the '1819-1850' period, some of the images that used Humboldt\\\\u2019s image as a model turned the landscape into 'figures' (figura), that is, gave preponderance to the lanscape instead of the characters, and some even took the figures out and turned the images into pure landscape representations, that is, 'background' or (fondo)\", \"options\": [{\"btn\": \"Continue main route\", \"scene\": \"roulinHumboldt\"}]}, \"roulinHumboldt\": {\"viz\": {\"filter\": [], \"type\": \"compare\", \"x\": 6, \"y\": 11}, \"title\": \"Second Comparison between Humboldt's and Roulin's Carguero images\", \"text\": \"In general, Roulin's is the most used model, although all travelers quote Humboldt as a reference for the description of the Cargueros, they do not use his image as a reference. This comparison panel shows the evident differences in composition for both models. While Humboldt's image highlights the Carguero as part of the landscape, Roulin\\\\u2019s highlights its bodily features.\", \"options\": [{\"btn\": \"Continue main route\", \"scene\": \"roulinModel\"}]}, \"roulinModel\": {\"viz\": {\"filter\": [[\"fecha\", \"<\", 1900], [\"modelo\", \"=\", \"roulin\"], [\"otros\", \"=\", \"false\"]], \"type\": \"pack\", \"x\": \"modelo\", \"y\": \"soporte\"}, \"title\": \"Material substrates of Roulin's derivations\", \"text\": \"Here we can observe the great diversity of media in which this model circulated, adapted by communities of interpretation that demanded new epistemic and aesthetic criteria of validity.\", \"options\": [{\"btn\": \"Practices of image circulation\", \"scene\": \"circulationInscription\"}, {\"btn\": \"Animal and Human types\", \"scene\": \"animalHumanTypes\"}, {\"btn\": \"Continue main route\", \"scene\": \"roulinQuindio\"}]}, \"circulationInscription\": {\"viz\": {\"filter\": [], \"type\": \"compare\", \"x\": \"166\", \"y\": \"167\"}, \"title\": \"Techniques of inscription and practices of image circulation\", \"text\": \"The drawings and images made by Roulin participated in a network of image circulation of 19th century visual culture, which involved the rationalization of production, division of labor, and mass production for a market of travelers who were interested in these products. And throughout the twentieth century, and even today, these images have been predominantly seen as visual testimonies of the early republic and, as such, have been integrated into narratives of nation building. The images share a series of iconographic coincidences that indicate the practice of adapting models to different contexts by means of details, such as the background, tools, clothing, costumes, and other elements that vary between compositions. These practices show 'multiple authorship' and 'multiple originals' in the postcolonial Hispanic space. An eloquent case is the correspondence and contrast between the plate 'Taking chocolate in Bogot\\\\u00e1', from Joseph Brown's collection, and the plate 'Caballero tomando T\\\\u00e9', from the 'De Santiago a Mendoza' collection attributed to Alphonse Giast. The characters are in similar positions, but their clothing, hairstyles, skin complexion, watercolor background, and distribution of surrounding elements change from one image to another. One of the most interesting elements of the contrast is the identification of a 'bombilla' for drinking mate on the table in the background of the watercolor attributed to Giast, a practice characteristic of Chile and Argentina that, on the contrary, was not carried out in Nueva Granada.\", \"options\": [{\"btn\": \"Roulin's hypothetical album\", \"scene\": \"roulinAlbum\"}]}, \"roulinAlbum\": {\"meta\": 165, \"title\": \"Roulin's hypothetical album\", \"text\": \"The 'De Santiago to Mendoza collection' coincides with some of Roulin's models. One example, among other possible ones, is the plate 'Mujer con balde' from the Chilean collection, which shows in the foreground a character derived from the the background of Roulin's watercolor 'Place de St. Victorin, \\\\u00e0 Bogota'. In addition, the composition of the space is different, a different perspective with coinciding elements. Roulin's prominence in the visual culture of the early Republican period is extended. For example, Auguste Le Moyne copied the profile of Sim\\\\u00f3n Bol\\\\u00edvar drawn by Roulin in 1828; his watercolors were copied and published in the travelogues of Gaspar Mollien (1824), John Potter Hamilton (1827), Guilaume Lallement (1826), Alcide D'Orbigny (1841) and M. A. de Latrre (1848). Modifications of his motifs can also be found in engravings by John Potter Hamilton (1827, 1993), Gaetano Osculati (1954), and Cesar Famin (1837). Thus, is is possible that Roulin may have had a catalogue of plates at the service of travelers with scenes of customs, types, views, and monuments.\", \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"roulinModel\"}], \"areas\": [{\"x\": 199, \"y\": 350, \"w\": 156, \"h\": 283, \"btn\": \"\", \"tooltip\": \"\", \"name\": \"mujer\", \"scene\": \"roulinPlaza\"}, {\"x\": 303, \"y\": 339, \"w\": 154, \"h\": 137, \"btn\": \"\", \"tooltip\": \"\", \"name\": \"area\", \"scene\": \"roulinPlaza\"}]}, \"roulinPlaza\": {\"meta\": 154, \"options\": [{\"btn\": \"Back to Roulin's hypothetical album\", \"scene\": \"roulinAlbum\"}, {\"btn\": \"To Costumes/Colombie\", \"scene\": \"costumesColombie\"}], \"areas\": [{\"x\": 400, \"y\": 762, \"w\": 152, \"h\": 276, \"btn\": \"\", \"tooltip\": \"\", \"name\": \"cargando\", \"escena\": \"agachado\"}, {\"x\": 586, \"y\": 708, \"w\": 140, \"h\": 152, \"btn\": \"\", \"tooltip\": \"\", \"name\": \"agachado\", \"escena\": \"agachado\"}, {\"x\": 748, \"y\": 653, \"w\": 104, \"h\": 178, \"btn\": \"\", \"tooltip\": \"\", \"name\": \"mujerConBalde\", \"escena\": \"roulinAlbum\"}, {\"x\": 382, \"y\": 439, \"w\": 400, \"h\": 350, \"btn\": \"\", \"tooltip\": \"\", \"name\": \"fuente\", \"escena\": \"roulinAlbum\"}, {\"x\": 1075, \"y\": 838, \"w\": 258, \"h\": 204, \"btn\": \"\", \"tooltip\": \"\", \"escena\": \"perro\"}]}, \"animalHumanTypes\": {\"viz\": {\"filter\": [[\"modelo\", \"=\", \"roulin\"], [\"genero\", \"=\", \"tipos animales\"]], \"type\": \"pack\", \"x\": \"modelo\", \"y\": \"genero\"}, \"title\": \"Roulin's Animal types\", \"text\": \"In relation to the aesthetic and scientific conditions of acceptability, Roulin's conceptual and visual universe is directly related to his scientific training as a physiologist practicing comparative anatomy in the scientific circle of the Academy of Natural Sciences in Paris. He published some of the results of his research in the Annales des Sciences Naturelles and participated in the edition of Le R\\\\u00e8gne Animal created by Cuvier's disciples in 1836. Roulin's watercolors and drawings show his interest in highlighting aspects related to the animal and human classification that had been postulated in his scientific circle, which, from a visual point of view, sought to establish relationships between external characters, with the systematic functioning of internal organs. This panel shows the animal types represented in a publication on the Tapir in the Annals of Natural Science and some drawings found in Roulin's notebooks. <img src='https://lh3.googleusercontent.com/d/18XgsbcnSER4Y2z1dxNErwKX6pwV8fZt_'>The tapir was drawn from the carcasses of a pair of specimens found in Sumapaz p\\\\u00e1ramo, near Bogot\\\\u00e1. He had to content himself with making an abbreviated description on the spot, and drawing a simple line in pencil. A Wollaston camera-lucida helped him to draw the outline of the head. In this way, Roulin completed a series of drawings that were placed before the eyes of the academy when attached to his memoir published in the Annales des Sciences Naturelles\", \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"roulinModel\"}, {\"btn\": \"Roulin's Human types\", \"scene\": \"roulinHuman\"}, {\"btn\": \"Detour through Roulin's dogs\", \"scene\": \"perro\"}]}, \"perro\": {\"meta\": 192, \"text\": \"Roulin also published a memoir in the Annales des Sciences Naturelles in 1829 about domestic animals brought from Europe to the New World. Some of the watercolors, found in 2003, can be interpreted in relation to this publication. The watercolor 'Bords de la Magdelaine. M\\\\u00e9nage d'une famille de p\\\\u00eacheur' of 1823 seems to be an illustration of the text in which it is mentioned that the 'dogs of hot climate (perros de tierra caliente)' that live with the fishermen on the banks of the Magdalena River, have a deteriorated breed due to lack of food and exceptional conditions that force the animals to return to wild states. In Roulin's Plates, such as 'Bords de la Magdelaine', 'Place de St. Victorin \\\\u00e0 Bogot\\\\u00e1' or 'Entr\\\\u00e9e du march\\\\u00e9 de Honda', dogs can be seen living side by side with humans in different climates and regions. This allows us to see how dogs have changed and adapted to different environments and situations, and how they have been affected by the communities in which they live. Ultimately, Roulin's watercolors, in conjunction with his written memoir, offer valuable insights into changes in domestic animals and their relationship to climates and communities in the New World.\", \"options\": [{\"btn\": \"Back to Roulin's hipotetic album\", \"scene\": \"roulinAlbum\"}, {\"btn\": \"Back to Costumes/Colombie\", \"scene\": \"costumesColombie\"}], \"areas\": [{\"x\": 473, \"y\": 205, \"w\": 348, \"h\": 249, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"perro1\"}, {\"x\": 305, \"y\": 569, \"w\": 338, \"h\": 304, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinPlaza\"}, {\"x\": 368, \"y\": 1006, \"w\": 343, \"h\": 276, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinMayor\"}, {\"x\": 858, \"y\": 982, \"w\": 338, \"h\": 205, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"perro4\"}, {\"x\": 1334, \"y\": 983, \"w\": 388, \"h\": 257, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinMayor\"}, {\"x\": 1327, \"y\": 610, \"w\": 385, \"h\": 252, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"perro6\"}, {\"x\": 1344, \"y\": 261, \"w\": 361, \"h\": 257, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"perro7\"}, {\"x\": 802, \"y\": 587, \"w\": 499, \"h\": 398, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"bordes\"}]}, \"bordes\": {\"meta\": 146}, \"perro1\": {\"meta\": 156}, \"perro7\": {\"meta\": 148}, \"perro4\": {\"meta\": 149}, \"perro6\": {\"meta\": 159}, \"roulinMayor\": {\"meta\": 153, \"options\": [{\"btn\": \"Back to Roulin's hypothetical album\", \"scene\": \"roulinAlbum\"}], \"areas\": [{\"x\": 477, \"y\": 575, \"w\": 121, \"h\": 325, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"mujerSombrero\"}, {\"x\": 894, \"y\": 695, \"w\": 215, \"h\": 465, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"sacerdote\"}, {\"x\": 133, \"y\": 850, \"w\": 169, \"h\": 139, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"perro\"}, {\"x\": 1123, \"y\": 639, \"w\": 157, \"h\": 117, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"perro\"}]}, \"roulinHuman\": {\"viz\": {\"filter\": [[\"modelo\", \"=\", \"cuvier\"]], \"type\": \"pack\", \"x\": \"modelo\", \"y\": \"modelo\"}, \"title\": \"Roulin's Human types\", \"text\": \"In the specific classification of the human race as a bipedal mammal, Cuvier considered that its development was determined by external aspects, such as climate or geography, and internal aspects, such as the intellectual characteristics of the races. These were organized in a hierarchy that descended from the Caucasian race to the Ethiopian, which was represented as the least developed. The position of Americans in this classification was uncertain, since it was not possible to resolve the multiplicity of characteristics observed in the same category. In fact, Roulin drew from Cuvier\\\\u2019s disciples edition of Le R\\\\u00e8gne Animal some of the plates of American types that illustrate their difficult classification, and is cited as one of the travellers who provided information on the subject.\", \"options\": [{\"btn\": \"Comparision between Roulin's Animal Kingdom plate and a watercolour plate\", \"scene\": \"types\"}, {\"btn\": \"To Costumes/Colombie\", \"scene\": \"costumesColombie\"}, {\"btn\": \"Back to main route\", \"scene\": \"roulinModel\"}]}, \"types\": {\"viz\": {\"filter\": [[]], \"type\": \"compare\", \"x\": \"138\", \"y\": \"143\"}, \"title\": \"Comparision between Roulin's Animal Kingdom plate and a watercolour plate\", \"text\": \"Roulin's training in physiology and comparative anatomy allowed him to direct his gaze towards aspects other than landscapes, focusing on the study of anatomy, races, and how environmental factors affect organisms. One of Roulin's watercolors can serve as an illustration: 'Bords de la Magdelaine. Le bal du petit ange' (Banks of the Magdalena. The little angel's dance). The image shows the funeral ritual of the inhabitants of the banks of the Magdalena River. There is a crowd circle animating the dance of two Afro-American people in the center. Both subjects had darker skin color and characteristics that could be imputed to the race Cuvier calls 'Ethiopian,' such as curly hair. On the other hand, the subjects in the crowd cheering with palms and instruments have some of the characteristics given by Cuvier to the indeterminate American race, such as straight hair and 'copper red' skin color.\", \"options\": [{\"btn\": \"Back to main route\", \"scene\": \"roulinModel\"}]}, \"roulinQuindio\": {\"viz\": {\"filter\": [[]], \"type\": \"compare\", \"x\": \"11\", \"y\": \"22\"}, \"title\": \"Roulin, d'Orbigny and the category of 'type'.\", \"text\": \"The sketch of the camp on the Quind\\\\u00edo road was reproduced in the biography of Roulin, along with several other sketches, published by Marguerite Combes in 1929. The drawing shows a camp in which a Carguero can be seen at the center of the composition. According to Combes, the man with an open umbrella being loaded is a notary who accompanied Roulin and Boussigault on the mission to inspect and draw up the plan of the mines of La Vega de Sup\\\\u00eda. Combes mistakenly states that the subject in the lower right is Boussingault. Roulin makes a direct reference to this drawing in a footnote in an article on the Tapir in his collection of scientific papers called 'Histoire naturelle et souvenirs de voyage' of 1865. Roulin made this drawing on behalf of Humboldt. Roulin\\\\u2019s sketch of the Carguero was modified and turned into an engraving in Alcide d'Orbigny's travelogue, 'Voyage Pittoresque dans les deux Am\\\\u00e9riques', a popular book that contributed significantly to the dissemination of knowledge of Colombia in Europe. D'Orbigny, a mollusk specialist, belonged to the same scientific circle as Cuvier and Roulin. Like the latter, he was credited as a 'disciple' in the 1836 edition of Le R\\\\u00e8gne Animal. In fact, his figure plays a fundamental role in research on the determination of the racial characteristics of Americans for Cuvier's classification of that book. In 1825, he was commissioned by the Museum of Natural History in Paris to investigate 'in depth the language and physiological characteristics' of South American people. As an analytical tool, Roulin and d'Ornigny helped transpose, from the comparative anatomy of animals, the category of 'type' to find a way to organize the multiplicity of human populations existing in America. In this sense, Roulin's and d'Orbigny's Carguero drawings can be interpreted as an investigation into a 'social type' that existed because of specific climatic, geographical, and racial features. These are rationalized by the observations of the external characters and their relations with internal organic functioning. Roulin refers to the Carguero as a 'human mount', hinting at a comparison of different modes of transportation and uses of human and animal muscle-driven motion power.\", \"options\": [{\"btn\": \"Continue route\", \"scene\": \"roulinHamilton\"}]}, \"roulinHamilton\": {\"viz\": {\"filter\": [[]], \"type\": \"compare\", \"x\": \"11\", \"y\": \"14\"}, \"title\": \"Hamilton Picturesque Carguero\", \"text\": \"A derivation of Roulin's model of the Carguero is found in the travelogue of the British Diplomat Colonel John Potter Hamilton, the first official envoy on behalf of the British government to Colombia. After returning to his homeland, he published his travelogue with the famous publishing house John Murray. This publishing house was noted, among other things, for tapping into the demand for such products, and published more than 200 travel books during the first half of the 19th century. Hamilton used, with adaptations, several of Roulin's models in his book. In particular, the image of the Carguero changes the direction of the characters and places them on a laborious ascent. They climb around a tree on the curve of a steep mountain road (see graphical comparison). The image is similar to other images of the period, like those in the travelogues of British merchant traveller Charles Stuart Cochrane and Swedish diplomatic traveller August Gosselman. These images are characterized by the use of a picturesque aesthetic as a strategy to frame the landscape and recompose it with industrious human figures, settlements, crops, and productive animals, in contrast to the untamed wilderness that still needs to be controlled by man. In these stories, the images coexist with visual metaphors that frame the observations of nature as 'pictures', 'paintings', 'drawings', 'sketches', 'maps', 'scenery', 'beautiful shows', 'dioramas', 'panoramas', 'magic lanterns' or 'Peep Shows'. The use of the Carguero image is indicative of the resignification of picturesque aesthetics in the voyages to America, characterized by the use of ethnographic and social themes of concern to travellers of the period, who were, in Mary Louis Pratt's words, the avant-garde of capitalism.\", \"options\": [{\"btn\": \"To Costumes/Colombie\", \"scene\": \"costumesColombie\"}]}, \"costumesColombie\": {\"meta\": 21, \"title\": \"Costumes/Colombie\", \"text\": \"Through Hamilton's Carguero, Roulin's model found its way into the volume on Colombia of the monumental 67-volume encyclopedic Collection: L'Univers Pittoresque. The cabinet traveller C\\\\u00e9sar Famin arranged on a generic natural background a set of figures that mixed the costumes of Colombia and Guyana. The Collection: L'Univers Pittoresque, in which Famin participated, and d'Orbigny's Voyage pittoresque, are examples of how, in France, the 'picturesque' was understood as a publishing guideline; a way of making books and periodicals, richly illustrated and with complex logistical processes.  The books and images of the travellers are used as privileged sources of information for these encyclopedic projects with pretensions of synthesis. An image of the Carguero is representative of this procedure. It does not pretend to be a faithful representation of nature, but rather constructs a generic exoticizing space that synthesizes Famin's entire journey through Guyana and Colombia. Different human types and their costumes are arranged in juxtaposition to establish comparisons and contrasts between them. In this way, the pretension of travel books to bring distant geography closer, so that it can be experienced without leaving home, is realized and replicated with cabinet travels.\", \"options\": [{\"btn\": \"Back to Roulin's hypothetical album\", \"scene\": \"roulinAlbum\"}, {\"btn\": \"Continue route\", \"scene\": \"roulinPrensa\"}], \"areas\": [{\"x\": 222, \"y\": 176, \"w\": 126, \"h\": 345, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"colgadaBlake\"}, {\"x\": 74, \"y\": 723, \"w\": 155, \"h\": 568, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"sacerdote\"}, {\"x\": 239, \"y\": 712, \"w\": 205, \"h\": 306, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"agachado\"}, {\"x\": 333, \"y\": 652, \"w\": 212, \"h\": 448, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"cargandoNino\"}, {\"x\": 583, \"y\": 386, \"w\": 362, \"h\": 603, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"carguero\"}, {\"x\": 851, \"y\": 674, \"w\": 360, \"h\": 684, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"plantadorSurinam\"}, {\"x\": 1065, \"y\": 549, \"w\": 216, \"h\": 566, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"mujerSombrero\"}, {\"x\": 1238, \"y\": 633, \"w\": 448, \"h\": 708, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"familia\"}, {\"x\": 1484, \"y\": 328, \"w\": 233, \"h\": 522, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"colgado\"}, {\"x\": 1498, \"y\": 697, \"w\": 201, \"h\": 609, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"mujerConPajaro\"}]}, \"colgadaBlake\": {\"meta\": 186}, \"sacerdote\": {\"meta\": 181, \"areas\": [{\"x\": 112, \"y\": 383, \"w\": 150, \"h\": 440, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinMayor\"}]}, \"agachado\": {\"meta\": 180, \"areas\": [{\"x\": 109, \"y\": 294, \"w\": 195, \"h\": 376, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinPlaza\"}, {\"x\": 245, \"y\": 382, \"w\": 136, \"h\": 229, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinPlaza\"}]}, \"cargandoNino\": {\"meta\": 178}, \"carguero\": {\"meta\": 14, \"areas\": [{\"x\": 549, \"y\": 876, \"w\": 276, \"h\": 426, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"cargueroRoulin\"}]}, \"cargueroRoulin\": {\"meta\": 11}, \"plantadorSurinam\": {\"meta\": 187}, \"mujerSombrero\": {\"meta\": 179, \"areas\": [{\"x\": 315, \"y\": 441, \"w\": 150, \"h\": 447, \"btn\": \"\", \"tooltip\": \"\", \"scene\": \"roulinMayor\"}]}, \"roulinPrensa\": {\"viz\": {\"filter\": [[\"modelo\", \"=\", \"roulin\"], [\"soporte\", \"=\", \"prensa\"]], \"type\": \"pack\", \"x\": \"modelo\", \"y\": \"soporte\"}, \"title\": \"The Carguero in the European illustrated press\", \"text\": \"By removing the figure from the background, A. de Lattre used the Carguero to contrast the practice of the Quind\\\\u00edo road with the estiveros of Putumayo. From this source, the image was put on an engraving plate, and was used in mass-printing projects in Europe by various illustrated press companies in countries such as France (Magasin Pittoresque, 1848), Spain (Semanario Pintoresco Espa\\\\u00f1ol, 1849) and Germany (Das Pfennig-Magazin, 1851). These magazines were local versions of The Penny Magazine, first published in the United Kingdom in 1832 by the Society for the dissemination of useful knowledge. The model of this weekly magazine soon spread to various parts of Europe, disseminating not only the format of a publication, but technological applications of woodcutting and prototyping, a process of rationalization of print production, a business model and an ideal of the correlation between the expansion of the readership market and the possibility of bringing access to 'useful' knowledge to the working classes. Magasin Pittoresque, for example, was first published by \\\\u00c9douard Charton in 1833 and is associated with a faction of saintsimonism called 'republican saintsimonism'. Charton expressly referred to his publishing projects as means by which he intended to 'combat the ignorance of the popular classes' (Le Magasin Pittoresque, 1833, p. 98). Dissemination was made possible by the recent invention of metal plate engraving processes useful to obtain copies in 'hundreds of thousands' (Le Magasin Pittoresque, 1833, p. 98). In this context, images reached a wider public and offered a quicker and more fun way of learning from which children would benefit: 'instead of letting them sleep or yawn over a book, take them often to museums, or even to boulevards, georamas and panoramas' (Le Magasin Pittoresque, 1833, p. 99). Likewise, in the Semanario Pintoresco Espa\\\\u00f1ol, images are mentioned for their function of 'representing absent things as if they were before us and which we could only see at the cost of arduous journeys and great expense\\\\u2019 (Semanario Pintoresco Espa\\\\u00f1ol, 1844, p. 48).\", \"options\": [{\"btn\": \"Start over\", \"scene\": \"start\"}]}, \"familia\": {\"meta\": 183}, \"mujerConPajaro\": {\"meta\": 184}, \"colgado\": {\"meta\": 185}}};\n",
       "const slug = '@aventura-interactiva-ws/interactive_carguero_atlas';\n",
       "const into = document.getElementsByTagName('div')[0];\n",
       "const cells = ['panelContainer', 'processedScenes']\n",
       "ObservableJupyterIframe.embed(slug, into, cells, inputs).then(m => {window.main = m;});\n",
       "ObservableJupyterIframe.monitor()\n",
       "window.addEventListener('unload', () => {\n",
       "  if (typeof window.main !== 'undefined') {\n",
       "      window.main._runtime.dispose();\n",
       "  }\n",
       "});\n",
       "CLOSESCRIPT\n",
       "`.replace(/OPENSCRIPT/gi, '<sc' + 'ript>').replace(/CLOSESCRIPT/gi, '</sc' + 'ript>')\n",
       "document.getElementById('observable-embed-div-7722071200219132').srcdoc = iframeSrc;\n",
       "ObservableJupyterWrapper.listenToSize(document.getElementById('observable-embed-div-7722071200219132'));\n",
       "</script>\n",
       "    "
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Process the scenes and render the interactive atlas (it might a couple of seconds to render)\n",
    "embed('@aventura-interactiva-ws/interactive_carguero_atlas',\n",
    "      cells=['panelContainer', 'processedScenes'],\n",
    "      inputs={'csvString': data_csv, 'scenes': scenes}\n",
    "     )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## A guided tour of the Carguero Atlas: the path of Humboldt and Roulin"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this section we offer further description of both the design and our understanding of one of the narrative paths of the Carguero Atlas. Specifically, we focus on two iconographical derivative models: Humboldt's and Roulin's, and the insights obtained from the process of panel building. We also invite the reader of this article to explore and navigate the Atlas in order to find non-linear narratives that cannot be accounted for in the conventional organization of this article’s text."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can divide our Carguero collection into two large groups of images: 19th century images, which have been collected comprehensively, and reinterpretations created post 19th century (namely, remixes, artworks, memes, and other intertextual works); for this second group, the images collected are representative of possible use cases, but are by no means exhaustive of the multiplicity of works circulating in popular culture. For one of the narrative paths we created for the Carguero Atlas we propose in this article, we defined a set of scenes in which we used a filter to obtain only images until the 19th century (in the filter system described as \\[“date”, \"<\", 1900\\]). In particular, we were interested in visualizing the tagged categories “figure/background” (in Spanish, “figura/fondo”), “source model” (“modelo”), “date” (“fecha”) and “period” (“periodo”). The \"Figure/background\" category indicates the proportion between figure and background in the image: the images that predominantly represent landscapes without human figures are labeled as \"background\" (“fondo”), the images that predominantly represent landscapes that contain humans are labeled as \"balance\" (“equilibrio”), and the images in which there is a predominance of human figures are labeled as \"figure\" (“figura”). On the other hand, the “source model” category groups images according to the model they are based on: we identified a set of iconographic models that were extensively used and reappropriated in subsequent images. The most important models to consider are the ones labeled “humboldt” and “roulin” in our dataset. The first one comes from the famous Prussian naturalist Alexander von Humboldt, who, in his diary, and later in his work Vues des Cordillères (<cite data-cite=\"7299034/49SACHS5\"></cite>), recorded his encounter with a Carguero named Villanero. Thanks to Humboldt’s prestige as a traveler, and the profuse circulation of his travel stories —mostly apocryphal editions of unscrupulous publishers who took advantage of his fame— his description of the encounter became famous and a point of reference for a large number of travelers when describing their own experiences. Second, there is the “source model” of François Desiré Roulin, a scientific traveler who made part of an expedition composed of French professionals recommended by Georges Cuvier and Alexander von Humboldt to the plenipotentiary minister of Gran Colombia —the name at the time of the state roughly equivalent to the current Republic of Colombia—, Francisco Antonio Zea."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For one of the scenes (Scene name: scatterPeriodoFigura), and using the custom functions we created for adapting Aventura.js system to our purposes, we defined a scatter plot panel (keyword “scatter”) in representing the attribute \"period\" on the X axis and the attribute \"figure/background\" on the Y axis. We can observe in the resulting panel that there are more images labeled as \"background\" or as \"balance\" in the period between 1770 and 1810 than in the other periods. Specimens from the late colonial period (1770-1810) accounted for, or participated in, a transformation in visual epistemology characterized by presenting different human types, understood as castes or nations, as characters in their immediate geographical contexts, including the animal and botanical varieties peculiar to them (<cite data-cite=\"7299034/8JZZYA7Z\"></cite>). Variations of the trope of placing human specimens in their geographical and natural contexts can be seen, for instance, in Vicente Albán's mestizaje paintings, and in Cuadro del Peru commissioned by Ignacio Lecuanda (<cite data-cite=\"7299034/8JZZYA7Z\"></cite>). This transformation is, paradigmatically, also present in Humboldt's views of nature. Plate V of Vues des Cordillères (<cite data-cite=\"7299034/49SACHS5\"></cite>) is Humboldt’s representation of the Carguero, and participates within this visual episteme; furthermore, the plate’s production and meaning are affected by the American continent social networks in which Humboldt's journey, journal entries, and sketches were produced (<cite data-cite=\"7299034/KWRLHZYH\"></cite>) and by the European social networks that supported the conversion of sketches and notes into images and texts, and put them into a global comparative horizon (<cite data-cite=\"7299034/4TSNQZT6\"></cite>). In the image representation, there is a balance between the natural elements and activities of the Carguero: both are elements that structure the composition and provide relevant information to understand the use of plants, means of transport, and other particularities of Andean verticality. This explains why we can see in the panel that during this period the attribute \"balance\" is predominant."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On the other hand, from the period 1819-1850 onwards we can notice a predominance of \"figure\" over \"background\" and \"balance.” It is worth highlighting that the most used model during the period “1819 – 1850” was Roulin’s. This can be seen in a panel that shows a scatter plot contrasting “period” on the Y axis with “source model” on the X axis (Scene name: \"scatterRoulin\"). It can also be seen in another panel that depicts a circle pack tree map (Scene name: \"packRoulin\") filtered to include only the period \"1819-1850,” and displaying the hierarchical organization of the attributes \"source model\" and \"background and figure”. It is striking that this is the most used model, since all travelers quote Humboldt as a reference for the description of the Carguero, but they do not use his image as a model. As the initial compare graph (Scene name: 'start') of two adjacent images included in our atlas shows, there are clear differences in style in both models. It is especially important to note that Humboldt's image integrates the Carguero as a part of the landscape, whereas Roulin’s highlights its saliency and physical characteristics. On another circle pack tree map (Scene name: \"packHumboldtPeriodo\") with the “source model” attribute filtered by \"humboldt,” and displaying the hierarchical organization of the attributes \"period\" and \"figure/background\", it can be observed that, in the \"1819-1850\" period, the images which used Humboldt’s image as a model turned the “landscape” into “figures,” and others took the “figures” out and turned the images into “background.”"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For another panel (Scene name: \"roulinModel\"), we defined a circle pack tree map with a filter for obtaining only Roulin’s derivations. In this panel we can see the great diversity of contexts in which this model transformed its meaning, adapted by communities of interpretation that demanded new epistemic and aesthetic criteria of validity. In this way, Roulin (1824) and later Alcide d'Orbigny (1841) use the category of \"type\" produced within the circle of the Académie des sciences in Paris, to create their image of the Carguero. This model was reinterpreted in different contexts. Colonel John Potter Hamilton (1827) linked it to British \"picturesque\" explorations for political and commercial purposes, while Cesar Famin's entry on Colombia in L'Universe Pittoresque associated it with the genre of costumes. Additionally, the image was featured in various European popular illustrated press magazines, including the Magasin Pittoresque (1848), the Semanario Pintoresco Español (1849), and Das Pfennig-Magazin (1851). Despite all these sources citing Humboldt's encounter with the Carguero, they favored Roulin's drawing as a suitable model for the growing interest in exploring American human types."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These data assisted readings of our collection by using interactive panels take us to the following question: why the travelers who were in “Colombia/Nueva Granada” in the period “1819-1851” did not use Humboldt’s Carguero model? What aesthetic, technical, and epistemic conditions made it possible for Roulin's model to circulate and to be re-signified in the different interpretation communities in which it was adapted? By reviewing the primary sources and secondary literature, we conclude that two factors must be considered to answer these questions. The first reason is technological, related to the techniques of inscription and practices of image circulation. The second is epistemological and rhetorical, related to the audiences that the inscriptions intended to affect. Bruno Latour understands these two aspects as part of the same process: the interest in inscriptions is understandable insofar as it is related to the trajectories, routes, and expansive plans that their technology and structure make possible. Correlatively, displacement allows for innovations in inscriptions, writing, archiving, and processing, which only make sense to the extent that they persuade and gain adherence in the midst of controversies (<cite data-cite=\"7299034/CT29YC4T\"></cite>)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The drawings and images made by Roulin participated in a network of image circulation related to 19th century visual culture, such as the rationalization of production, division of labor, and mass production for a market of travelers who were interested in these products. In the contemporary period, collections of images of travelers who were in South America at the beginning of the 19th century have become known thanks to donations from private collectors. This is the case of the Alphonse Giast collection in Argentina and Chile (<cite data-cite=\"7299034/P9BQM6PD\"></cite>,<cite data-cite=\"7299034/NINP9SWY\"></cite>), Joseph Brown collection, Le Moyne collection, and Roulin collection in Colombia (<cite data-cite=\"7299034/TJVGPCC8\"></cite>,<cite data-cite=\"7299034/Y6X6CWGR\"></cite>,<cite data-cite=\"7299034/YJIU4CYH\"></cite>). Throughout the twentieth century, and even today, these images have been predominantly seen as visual testimonies of the early republic and, as such, have been integrated into narratives of nation building. Recently, researchers have compared the collections, including the corpus of images attributed to Roulin, and have found a series of iconographic coincidences that indicate the existence of practices of adapting models to different contexts by means of details, such as the background, tools, clothing, costumes, and other elements that vary between compositions (<cite data-cite=\"7299034/RTPHGI8V\"></cite>). These practices have been analyzed by researchers by using concepts such as \"multiple authorship\" and \"multiple originals\", allowing them to be placed on the horizon of other image-making practices that took place throughout South America in the postcolonial Hispanic space."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Thus, Roulin's prominence in the visual culture of the early Republican period has been highlighted by other scholarship (<cite data-cite=\"7299034/MZ9FSNZV\"></cite>). For example, Auguste Le Moyne copied the profile of Simón Bolívar drawn by Roulin in 1828 (<cite data-cite=\"7299034/ZF79WP3U\"></cite>). Likewise, his watercolors were copied and published in the travelogues of Gaspar Mollien (1824), John Potter Hamilton (1827), Guilaume Lallement (1826), Alcide D'Orbigny (1841) and M. A. de Latrre (1848). Modifications of his motifs can also be found in engravings by John Potter Hamilton (1827, 1993), Gaetano Osculati (1954), and Cesar Famin (1837). Thus, it has been speculated that Roulin may have had a catalogue of plates at the service of travelers with scenes of customs, types, views, and monuments (<cite data-cite=\"undefined\">Antei, 1995</cite>, <cite data-cite=\"7299034/RTPHGI8V\"></cite>)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In relation to the aesthetic and scientific conditions of acceptability, Roulin's conceptual and visual universe is directly related to his scientific training as a physiologist practicing comparative anatomy in the scientific circle of the Académie des sciences in Paris. Roulin traveled to Colombia as a member of a scientific expedition that the plenipotentiary minister Francisco Antonio Zea had arranged for personalities such as Georges Cuvier and Alexander von Humboldt (<cite data-cite=\"7299034/HBG4E7CR\"></cite>,<cite data-cite=\"7299034/84ASJI2S\"></cite>). Likewise, he published some of the results of his research in the Annales des sciences naturelles (<cite data-cite=\"7299034/QU7TF99V\"></cite>,<cite data-cite=\"7299034/8BS2RPC8\"></cite>) and was involved in the posthumous edition of Le Règne Animal created by Cuvier's disciples in 1836 (<cite data-cite=\"7299034/VAD5AUXZ\"></cite>). Roulin's watercolors and drawings, some of them made with the help of a camera lucida (Roulin in <cite data-cite=\"7299034/QU7TF99V\"></cite>, p. 29), show his interest in highlighting aspects related to the animal and human classification that had been postulated in this scientific circle, which, from a visual point of view, sought to establish relationships between external characters, with the systematic functioning of internal organs (<cite data-cite=\"7299034/SU34NHK8\"></cite>, p. 247;TO ADD SENIOUR Senior, 2018). In the specific classification of the human race as a bipedal mammal, Cuvier considered that its development was determined by external aspects, such as climate or geography, and internal aspects, such as the intellectual characteristics of the races (<cite data-cite=\"7299034/VAD5AUXZ\"></cite>, pp. 97-98). These were organized in a hierarchy that descended from the Caucasian race to the Ethiopian, which was represented as the least developed. The position of Americans in this classification was uncertain, since it was not possible to resolve the multiplicity of characteristics observed in the same category (<cite data-cite=\"7299034/VAD5AUXZ\"></cite>, pp. 103-104). In fact, Roulin drew from Cuvier’s disciples edition of Le Règne Animal some of the plates of American types that illustrate their difficult classification, and is cited as one of the travellers who provided information on the subject (<cite data-cite=\"7299034/VAD5AUXZ\"></cite>, pl XIV)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Consequently, it is understandable that Roulin’s sketch of the Carguero was modified and turned into an engraving in Alcide d'Orbigny's travelogue, Voyage Pittoresque dans les deux Amériques (<cite data-cite=\"7299034/IC53A5GV\"></cite>), a popular book that contributed significantly to the dissemination of knowledge of Colombia in Europe. D'Orbigny, a mollusk specialist, belonged to the same scientific circle as Cuvier and Roulin. Like the latter, he was credited as a \"disciple\" in the 1836 edition of Le Règne Animal. In fact, his figure plays a fundamental role in research on the determination of the racial characteristics of Americans for Cuvier's classification of Le Règne Animal. In 1825, he was commissioned by the Museum of Natural History in Paris to investigate \"in depth the language and physiological characteristics\" of South American peoples (<cite data-cite=\"7299034/XQRMQ6JZ\"></cite>, p. IX). As an analytical tool, Roulin and d'Ornigny helped transpose, from the comparative anatomy of animals, the category of \"type\" to find a way to organise the multiplicity of human populations existing in America. In this sense, Roulin's and d'Orbigny's Carguero drawings can be interpreted as an investigation into a \"social type\" that existed because of specific climatic, geographical, and racial features. These are rationalized by the observations of the external characters of people and their relations with internal organic functioning. Roulin refers to the Carguero as a \"human mount\"(<cite data-cite=\"7299034/JVP6N5AR\"></cite>, p. 263), pointing at a comparison of different modes of transportation and uses of human and animal muscle-driven motion power."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another derivation of Roulin's model of the Carguero is found in the travelogue of the British Diplomat Colonel John Potter Hamilton (<cite data-cite=\"7299034/ZJA9TWSP\"></cite>), the first official envoy on behalf of the British government to Colombia. After returning to his homeland, he published his travelogue with the famous publishing house John Murray. This publishing house was noted, among other things, for tapping into the demand for such products, and published more than 200 travel books during the first half of the 19th century (<cite data-cite=\"7299034/YJEB294J\"></cite>, p. 1334). Hamilton used, with adaptations, several of Roulin's models in his book. However, the new disposition of the image of the Carguero changes the direction of the characters and places them on a laborious ascent. They climb around a tree on the curve of a steep mountain road (see graphical comparison on scene called \"roulinHamilton\"). The image is similar to other images of the period, such as those in the travelogues of British merchant traveller Charles Stuart Cochrane (<cite data-cite=\"7299034/E4J6TU6R\"></cite>) and Swedish diplomatic traveller August Gosselman (<cite data-cite=\"7299034/HQUVJJ2V\"></cite>,<cite data-cite=\"7299034/7F7VVS9Z\"></cite>). These images are characterized by the use of a picturesque aesthetic that functions as a device to frame the landscape and organize it with industrious human figures, settlements, crops, and productive animals, in contrast to the untamed wilderness that still needs to be controlled by man. In these stories, the images coexist with visual metaphors that frame the observations of nature as \"pictures\", \"paintings\", \"drawings\", \"sketches\", \"maps\", \"scenery\", \"beautiful shows\", \"dioramas\", \"panoramas\", \"magic lanterns\" or \"Peep Shows\". The use of the Carguero image is then indicative of the resignification of picturesque aesthetics in the voyages to America, characterized by the use of ethnographic and social themes of concern to travellers of the period (<cite data-cite=\"7299034/WFVWC9QP\"></cite>), who were described by Mary Louis Pratt as the avant-garde of capitalism (<cite data-cite=\"7299034/QCYRHZVF\"></cite>)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Likewise, through Hamilton, Roulin's model found its way into the volume on Colombia of the monumental 67-volume encyclopedic Universal Picturesque Collection, in which the cabinet traveller César Famin arranged, on a generic natural background, a set of figures intended to imagine the costumes of Colombia and Guyana. The \"Universal picturesque collection\" (Collection: L'Univers Pittoresque) in which Famin participated, and d'Orbigny's \"picturesque journey\" (Voyage pittoresque), are examples of how in France \"the picturesque\" was understood as a publishing guideline; a way of making books and periodicals, richly illustrated and with complex logistical processes (<cite data-cite=\"7299034/SPLKI368\"></cite>). The books and images of the travelers present are used as privileged sources for these encyclopedic projects with pretensions of synthesis to take place. The image of the Carguero is representative of this procedure. It does not pretend to be a faithful representation of nature, but rather constructs a generic wild space that synthesizes his entire journey through Guyana and Colombia, on which different human types and their costumes are arranged to juxtapose them and establish comparisons and contrasts. In this way, the pretension of travel books to bring distant geography closer so that it can be experienced without leaving home is realized with cabinet travels and, at the same time, replicated."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, by focusing on his figure instead of the background, the Carguero drawing let A. de Lattre to contrast the practice of the Quindío road with the estiveros of Putumayo. This made it possible for the image to be used in mass-production projects in Europe and for it to be circulated, held on an engraving plate, by various illustrated press companies in countries such as France (Magasin Pittoresque, 1848), Spain (Semanario Pintoresco Español, 1849) and Germany (Das Pfennig-Magazin, 1851). These magazines were local versions of The Penny Magazine, first published in the United Kingdom in 1832 by the Society for the dissemination of useful knowledge. The model of this weekly magazine soon spread to various parts of Europe, disseminating not only the format of a publication, but technological applications of woodcutting and prototyping, a process of rationalization of print production, a business model and an ideal of the correlation between the expansion of the readership market and the possibility of bringing access to \"useful\" knowledge to the working classes. Magasin Pittoresque, for example, was first published by Édouard Charton in 1833 and is associated with a faction of saintsimonism called \"republican saintsimonism\" (<cite data-cite=\"7299034/PQI8HPJH\"></cite>). Charton explicitly referred to his publishing projects as means by which he intended to \"combat the ignorance of the popular classes\" (Le Magasin Pittoresque, 1833, p. 98). Dissemination was made possible by the recent invention of metal plate engraving processes that made it possible to obtain copies in \"hundreds of thousands\" (Le Magasin Pittoresque, 1833, p. 98). In this context, images make it possible to reach a wider public, to leave a lasting impression, and a quicker and more fun way of learning from which children benefit: \"instead of letting them sleep or yawn over a book, take them often to museums, or even to boulevards, georamas and panoramas\" (Le Magasin Pittoresque, 1833, p. 99). Likewise, in the Semanario Pintoresco Español, images are mentioned for their function of \"representing absent things as if they were before us and which we could only see at the cost of arduous journeys and great expense’ (Semanario Pintoresco Español, 1844, p. 48)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Discussion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The Carguero models"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This study has shown how storytelling and visualization tools can be of great help in organizing research data and producing interactive interfaces for developing historical narratives and arguments. By classifying visual material in terms of specific formal details, themes, or iconographic characters, researchers can follow historical and geographical trajectories in a heterogeneity of sources, periods, and places. Moreover, this heterogeneity can be advantageous for observing the relationships between different epistemic registers, publishing companies, image-making practices, uses, and functions. The use of similar models in this heterogeneity makes it possible to identify common patterns that would otherwise go unnoticed. Although this approach may present some risks, such as anachrony or dispersion of the research object, it can provide a different perspective of images and their role in the history of visual and print culture. This is because it focuses not on authors or genres, but on the trajectory of the iconographic characters that circulate between different contexts of interpretation. In this study, we delineated a possible trajectory by considering the possible relationships suggested by some of the categories in our dataset."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For instance, one question we explored in our dataset was why the travelers in 19th century Colombia, who always used Alexander von Humboldt as a reference to narrate their experience of the encounter with the Carguero, did not use Humboldt’s image of the Carguero as a model for their illustrated traveling diaries, but instead used that of Francois Desiré Roulin. The answer to this question can be approached by considering the double status that images have in the context of controversies in science and technology, according to Bruno Latour (<cite data-cite=\"7299034/CT29YC4T\"></cite>). On the one hand, there is the problem of the possibilities afforded by technology and the processes of rationalizing the mass production of images for a market that demands such products. This relates to the technologies of serial reproduction of handmade images, the use of copies and models for technical reproducibility, and their printing in bookprints and periodicals. In this study, it was shown that Roulin’s model was at the center of an intense circulation of images of intercontinental scope, whose trajectories and drifts took us to mid-nineteenth-century Europe, through travel book printing companies in Britain and encyclopedias and picturesque periodicals with practices of rationalization of production in France. On the other hand, there are rhetorical procedures that use the inscriptions as tools to win allies and convince in the midst of scientific, political, or technical controversies. In this sense, it was observed that images circulated not only for their technological possibilities but also for epistemological and argumentative needs in contexts in which historical actors faced different types of controversies, such as the racial classification of populations, the economic and political utility of certain territories, and the need to extend the universe of readers in the midst of popular projects for the circulation of knowledge. In all of these contexts, images played an important epistemological role. By means of a dialectic between direct observation of the object and the distance that obliges its elaboration through the mediation of inscription technology, travelers, in person and in the cabinet, allowed others, through images, to travel and access knowledge of the world from a distance."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We intended to track an iconographic motif through time and space in a manner similar to Warburg what intended to do with Renaissance interpretation of the pathetic motifs of expression (Pathosformel) of antiquity. While the themes of classical beauty and pathetic gestures of the ancient world seem foreign to our corpus, we must remember that Warburg himself was a European traveler in America. In 1895, he visited the “Indios Pueblo” in New Mexico, USA. Warburg was confronted with problems similar to those of our travelers, although his disciplinary and technological tools were different. This trip was recorded using photographs  (Mann & Guidi, 1998) and presented in a famous lecture at the end of his internment in a psychiatric clinic in Kreuzlingen in 1923 (<cite data-cite=\"7299034/8AVE49LH\"></cite>). In this experience, under the context of the emergence of social sciences, Warburg sought to establish contact between art history and anthropology. He wanted to question how symbols mediate reality and enable the construction of distance for reflection (Denkraum). Warburg considered this a tragic process that is never fully achieved. So it was with his journey, for in trying to find common ground between antiquity and \"primitive man\" he could not avoid projecting his Eurocentric prejudices and ignoring the complexity of the processes he witnessed (<cite data-cite=\"7299034/H2LJLXTS\"></cite>). The travelers who encountered the Carguero also tried to use images as a mediation with unknown nature and characters to rationalize and better understand them. As in Warburg's case, these attempts to establish distance were tragic, insofar as the distance they created often did not allow them to recognize those who were judged as savages, and unfit to be part of Civilization."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### The interactive panels"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For Antón-Barco, “Mnemosyne created a new kind of knowledge (visual) that intends to gather, through images, the dispersion –but also the secret coherence– of our entire world. It combines the aesthetic paradigm of the visual-form with an epistemic paradigm of knowledge.\" (<cite data-cite=\"7299034/JS2I4PY3\"></cite>:53). We intended to show how such historical strategy for studying visual sources and visual culture can be expanded by means of digital tools. This involved creating a subjective collection, from the consultation of physical and digital archives and the recompilation of fortuitous connections derived from the principle of good neighborliness. Then, we adopted the computational process of filtering as an interpretative strategy and created a version of Warburg’s montage and homogenization strategies by using adapted conventions from the field of data visualization, and finally we constructed a narrative account based on a non-linear structure that connected the panels through different interactive, hypertextual paths. These strategies helped us to both create a rich presentation and interpretation of the historical sources and to discover new relationships and readings of the data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One particular challenge for this project was to find adequate graphical representations for the kind of relations we were interested in showing in our dataset. As was mentioned, most of our dataset consists of categorical data, iteratively constructed and manually tagged, which need special types of visualizations: not exclusively cartesian and based on numeric isomorphism between data and shape proportions, but also able to show hierarchies, relationships, and groupings. As <cite data-cite=\"7299034/779MQTKK\"></cite> points out, it is necessary to find special kinds of data visualizations for humanities data that make justice to the complexity of cultural relationships. Our effort to build a narrative z-dimension intended to work towards that purpose, but further research can be built upon this foundation to create new, more interactive ways to enhance exploration and divulgation of mostly categorical datasets."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another challenge is the defense of subjectivity in the context of scholar research in the humanities that use computational tools. The use of computation sometimes hides the multiple decisions made in a research project under the guise of supposed mechanical objectivity of computers. We, following authors like Drucker (<cite data-cite=\"7299034/ZAMMD7FP\"></cite>), wanted to make explicit such subjectivity and to defend its value. Collecting is a process that helps to enrich historical readings of documents, in our case, visual pieces. Further research should also work towards a reconciliation between mechanical feature-based problems and the introduction of subjective, but rigorous, reading. At the end, the goal on projects of this nature should be to find fruitful between user independent mechanistic approaches and interpretative approaches (<cite data-cite=\"7299034/ZAMMD7FP\"></cite>)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this line, one possible enhancement of our method would be to include graphs, adjacency matrices, and other networks representations. One potential advantage of our scene-based method is that the Atlas can be, virtually, expanded indefinitely. New scenes can be added due to its modular nature and can be integrated into the current interpretation and discoveries. Another particular addition would be to track the navigation of users in order to reflect on practices of navigating and adapting an archive. The principle of good neighborliness can be further expanded to connect to different repositories and archives or to allow user feedback and collaborative collections. "
   ]
  }
 ],
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   "citations": {
    "7299034/2YRPMV94": {
     "DOI": "10.1080/1472586X.2016.1173890",
     "URL": "https://doi.org/10.1080/1472586X.2016.1173890",
     "accessed": {
      "day": 28,
      "month": 3,
      "year": 2023
     },
     "author": [
      {
       "family": "Warnke",
       "given": "Martin"
      },
      {
       "family": "Dieckmann",
       "given": "Lisa"
      }
     ],
     "container-title": "Visual Studies",
     "id": "7299034/2YRPMV94",
     "issue": "2",
     "issued": {
      "day": 2,
      "month": 4,
      "year": 2016
     },
     "note": "Publisher: Routledge\n_eprint: https://doi.org/10.1080/1472586X.2016.1173890",
     "page": "109-120",
     "page-first": "109",
     "shortTitle": "Prometheus meets Meta-Image",
     "title": "Prometheus meets Meta-Image: implementations of Aby Warburg’s methodical approach in the digital era",
     "title-short": "Prometheus meets Meta-Image",
     "type": "article-journal",
     "volume": "31"
    },
    "7299034/49SACHS5": {
     "URL": "https://library.si.edu/digital-library/book/vuesdescordille2humb",
     "accessed": {
      "day": 8,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Humboldt",
       "given": "Alexander von"
      }
     ],
     "event-place": "París",
     "id": "7299034/49SACHS5",
     "issued": {
      "year": 1810
     },
     "language": "fre",
     "note": "Publisher: F. Schoell",
     "publisher": "Schoell",
     "publisher-place": "París",
     "title": "Vues des Cordillères, et monumens des peuples indigènes de l'Amérique v. 2",
     "type": "book"
    },
    "7299034/4RVPEU3G": {
     "DOI": "10.1080/0969725X.2018.1497280",
     "URL": "https://www.tandfonline.com/doi/full/10.1080/0969725X.2018.1497280",
     "accessed": {
      "day": 15,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Baert",
       "given": "Barbara"
      }
     ],
     "container-title": "Angelaki",
     "container-title-short": "Angelaki",
     "id": "7299034/4RVPEU3G",
     "issue": "4",
     "issued": {
      "day": 4,
      "month": 7,
      "year": 2018
     },
     "journalAbbreviation": "Angelaki",
     "language": "en",
     "page": "47-79",
     "page-first": "47",
     "shortTitle": "HE OR SHE WHO GLIMPSES, DESIRES, IS WOUNDED",
     "title": "HE OR SHE WHO GLIMPSES, DESIRES, IS WOUNDED: <i>a dialogue in the interspace</i> (zwischenraum) <i>between aby warburg and georges didi-huberman</i>",
     "title-short": "HE OR SHE WHO GLIMPSES, DESIRES, IS WOUNDED",
     "type": "article-journal",
     "volume": "23"
    },
    "7299034/4TDN96K2": {
     "ISBN": "978-84-8026-428-0",
     "abstract": "\"Atlas propone hacer visible el nuevo marco de pensamiento introducido por Aby Warburg (1866-1929), historiador del arte alemán. Warburg investigó en torno al papel que juegan las imágenes en la construcción del conocimiento, a partir de las diferentes relaciones establecidas entre ellas. La exposición constituye un recorrido por la historia de las imágenes desde 1914 hasta hoy, a la búsqueda de nuevas formas de catalogar y comprender el mundo\".",
     "author": [
      {
       "family": "Didi-Huberman",
       "given": "Georges"
      }
     ],
     "id": "7299034/4TDN96K2",
     "issued": {
      "year": 2010
     },
     "language": "es",
     "note": "Google-Books-ID: qyIFaAEACAAJ",
     "number-of-pages": "421",
     "publisher": "Museo Nacional Centro de Arte Reina Sofía",
     "shortTitle": "Atlas",
     "title": "Atlas: ¿cómo llevar el mundo a cuestas?",
     "title-short": "Atlas",
     "type": "book"
    },
    "7299034/4TSNQZT6": {
     "ISBN": "978-2-86645-581-1",
     "abstract": "C'est un banal carnet, oubli parmi les manuscrits du clbre voyageur prussien, Alexander von Humboldt. Le titre inscrit sur la couverture \"Voyage de Paris en Italie avec Gay-Lussac, 1805\" fait attendre l'vocation de la lumire, de la beaut des paysages, de la nostalgie des ruines. Ce ne sont que chiffres et mesures, citations, notes brves. Du magntisme terrestre aux cosmogonies de l'Inde et de l'Amrique en passant par la minralogie des Anciens et la chimie de l'atmosphre, les sujets les plus divers sont abords, dans une langue qui mle l'allemand et le franais. Quelle(s) histoire(s) peut raconter ce calepin au lecteur d'aujourd'hui A partir d'une analyse au plus prs de ces pages griffonnes, le livre interroge la faon dont Humboldt a visit l'Italie, au Mont-Cenis, Tivoli, dans le cratre du Vsuve et dans les bibliothques de Rome. Dans les notes du voyageur, archive d'un savoir en construction, se dessine, un demi-sicle avant Cosmos, l'ambition d'une science pense l'chelle du monde. Longtemps rest dans l'ombre de son expdition au Nouveau Monde, le court pisode du tour d'Italie d'Alexander von Humboldt trouve ainsi sa place singulire au coeur de l'entreprise savante du voyageur.",
     "author": [
      {
       "family": "Bourquet",
       "given": "Marie-Noelle"
      }
     ],
     "event-place": "Paris",
     "id": "7299034/4TSNQZT6",
     "issued": {
      "year": 2017
     },
     "language": "Francés",
     "number-of-pages": "312",
     "publisher": "Du Felin",
     "publisher-place": "Paris",
     "title": "Le monde dans un carnet. Alexander Von Humboldt en Italie (1805)",
     "type": "book"
    },
    "7299034/5SBJCW9X": {
     "ISBN": "978-607-02-3735-5",
     "author": [
      {
       "family": "Warburg",
       "given": "Aby"
      }
     ],
     "edition": "Primera ed",
     "editor": [
      {
       "family": "Báez Rubí",
       "given": "Linda"
      }
     ],
     "event-place": "Coyoacán, México",
     "id": "7299034/5SBJCW9X",
     "issued": {
      "year": 2012
     },
     "language": "spa",
     "note": "OCLC: 829905505",
     "number-of-pages": "175",
     "publisher": "Universidad Nacional Autónoma de México",
     "publisher-place": "Coyoacán, México",
     "shortTitle": "El Atlas de imágenes Mnemosine",
     "title": "El Atlas de imágenes Mnemosine: reproducción facsimilar",
     "title-short": "El Atlas de imágenes Mnemosine",
     "type": "book"
    },
    "7299034/779MQTKK": {
     "DOI": "10.5944/rhd.vol.6.2021.30734",
     "URL": "http://revistas.uned.es/index.php/RHD/article/view/30734",
     "abstract": "La finalidad de este artículo consiste en establecer unos fundamentos que permitan una reflexión informada acerca de distintas estrategias para visualizar datos de las humanidades. Para cumplir tal objetivo se presentará un conjunto de métodos de visualización de datos basados en la clasificación triple de los signos propuesta por el filósofo Charles S. Peirce: los signos icónicos, los signos indéxicos y los signos simbólicos. Tales categorías servirán como guía para definir conceptos y discusiones centrales acerca de la visualización de datos y las necesidades particulares de su uso en las humanidades digitales. Adicionalmente, a lo largo del texto se ofrecerán algunos ejemplos visuales que permitirán ver con mayor claridad los usos, ventajas y desventajas de los distintos tipos de visualizaciones propuestos.",
     "accessed": {
      "day": 5,
      "month": 3,
      "year": 2022
     },
     "author": [
      {
       "family": "Rodríguez Gómez",
       "given": "Sergio"
      }
     ],
     "container-title": "Revista de Humanidades Digitales",
     "container-title-short": "RHD",
     "id": "7299034/779MQTKK",
     "issued": {
      "day": 26,
      "month": 11,
      "year": 2021
     },
     "journalAbbreviation": "RHD",
     "page": "64-84",
     "page-first": "64",
     "shortTitle": "Signos visuales a escala humana",
     "title": "Signos visuales a escala humana: una clasificación de métodos de visualización de datos y una reflexión sobre sus alcances para la investigación humanística",
     "title-short": "Signos visuales a escala humana",
     "type": "article-journal",
     "volume": "6"
    },
    "7299034/7F7VVS9Z": {
     "URL": "https://www.cervantesvirtual.com/obra/viaje-por-colombia-1825-y-1826-segunda-parte-1077966/",
     "abstract": "Ficha de Viaje por Colombia: 1825 y 1826. Segunda parte. Digitalización realizada por la Biblioteca Virtual del Banco de la República (Colombia)",
     "accessed": {
      "day": 5,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Gosselman",
       "given": "Carl August"
      }
     ],
     "event-place": "Bogotá",
     "id": "7299034/7F7VVS9Z",
     "issued": {
      "year": 1981
     },
     "language": "es",
     "publisher": "Ediciones del Banco de la República",
     "publisher-place": "Bogotá",
     "shortTitle": "Viaje por Colombia",
     "title": "Viaje por Colombia: 1825 y 1826.",
     "title-short": "Viaje por Colombia",
     "type": "book"
    },
    "7299034/7IRYBDQE": {
     "author": [
      {
       "family": "Urueña Calderón",
       "given": "Juan Felipe"
      }
     ],
     "id": "7299034/7IRYBDQE",
     "issued": {
      "year": 2017
     },
     "publisher": "Editorial Universidad del Rosario",
     "title": "El montaje en Aby Warburg y en Walter Benjamin",
     "type": "book"
    },
    "7299034/84ASJI2S": {
     "ISBN": "978-2-343-00924-7",
     "author": [
      {
       "family": "Rodriguez-Prada",
       "given": "María Paola"
      }
     ],
     "event-place": "Paris",
     "id": "7299034/84ASJI2S",
     "issued": {
      "year": 2013
     },
     "language": "fre",
     "number-of-pages": "420",
     "publisher": "Patrimoines et Sociétés :",
     "publisher-place": "Paris",
     "shortTitle": "Le Musée National de Colombie 1823-1830",
     "title": "Le Musée National de Colombie 1823-1830: histoire d'une création / María Paola Rodríguez Prada ; préface de Dominique Poulot.",
     "title-short": "Le Musée National de Colombie 1823-1830",
     "type": "book"
    },
    "7299034/8AVE49LH": {
     "ISBN": "978-1-5017-0769-8",
     "abstract": "Images from the Region of the Pueblo Indians of North America / Aby M. Warburg -- Aby Warburg's Kreuzlingen Lecture: A Reading / Michael P. Steinberg., Aby M. Warburg (1866-1929) is recognized not only as one of the century's preeminent art and Renaissance historians but also as a founder of twentieth-century methods in iconology and cultural studies in general. Warburg's 1923 lecture, first published in German in 1988 and now available for the first time in English translation, Michael Steinberg offers offers at once a window on his career, a formative statement of his cultural history of modernity, and a document in the ethnography of the American Southwest. This edition includes thirty-nine photographs, many of them originally presented as slides with the speech, and a rich interpretive essay by the translator. Images from the Region of the Pueblo Indians of North America translates Warburg's seminal study of the \"serpent ritual\" of the Hopi people, which grew out of a trip to the American Southwest undertaken by Warburg in 1895-1896.",
     "author": [
      {
       "family": "Warburg",
       "given": "Aby"
      }
     ],
     "event-place": "Ithaca",
     "id": "7299034/8AVE49LH",
     "issued": {
      "year": 1995
     },
     "language": "eng",
     "note": "DOI: 10.7591/9781501707704",
     "publisher": "Cornell University Press",
     "publisher-place": "Ithaca",
     "title": "Images from the Region of the Pueblo Indians of North America",
     "type": "book"
    },
    "7299034/8BS2RPC8": {
     "URL": "https://www.biodiversitylibrary.org/item/29175",
     "author": [
      {
       "family": "Audouin",
       "given": ", Jean Victor"
      },
      {
       "family": "Brongniart",
       "given": ", Adolphe"
      },
      {
       "family": "Dumas",
       "given": ", J.-B. (Jean-Baptiste)"
      }
     ],
     "event-place": "Paris",
     "id": "7299034/8BS2RPC8",
     "issued": {
      "year": 1829
     },
     "note": "Pages: 1-514",
     "number-of-pages": "514",
     "publisher": "Béchet Jeune",
     "publisher-place": "Paris",
     "title": "Annales des sciences naturelles",
     "type": "book",
     "volume": "18"
    },
    "7299034/8JZZYA7Z": {
     "ISBN": "978-0-226-05855-9",
     "URL": "http://chicago.universitypressscholarship.com/view/10.7208/chicago/9780226058559.001.0001/upso-9780226058535",
     "abstract": "Bleichmar uses these images to trace two related histories - the little-known history of scientific expeditions in the Hispanic Enlightenment and the history of visual evidence in both science and administration in the early modern Spanish empire",
     "accessed": {
      "day": 5,
      "month": 2,
      "year": 2023
     },
     "author": [
      {
       "family": "Bleichmar",
       "given": "Daniela"
      }
     ],
     "event-place": "Chicago",
     "id": "7299034/8JZZYA7Z",
     "issued": {
      "year": 2012
     },
     "language": "eng",
     "note": "OCLC: 828869728",
     "number-of-pages": "286",
     "publisher": "The University of Chicago Press",
     "publisher-place": "Chicago",
     "shortTitle": "Visible empire",
     "title": "Visible empire: botanical expeditions and visual culture in the Hispanic Enlightenment",
     "title-short": "Visible empire",
     "type": "book"
    },
    "7299034/9QWY62IZ": {
     "ISBN": "978-84-206-7954-9",
     "abstract": "EL RENACIMIENTO DEL PAGANISMO es el legado fundamental de uno de los más importantes intelectuales del siglo xx. Nacido en el seno de una poderosa familia de banqueros judíos de Hamburgo, Aby Warburg (1866-1929) dedicó toda su vida a la tarea de comprender a través de las imágenes la eterna lucha desencadenada en el hombre entre la razón y la sinrazón, entre la ciencia y la magia, entre la serena belleza y el rapto dionisíaco. A través de un original método de trabajo, inspirado en la obra de figuras tan dispares como Freud o Darwin, Warburg analizó las creaciones visuales considerándolas como el producto de un modo simbólico de pensamiento, tan propio de las culturas llamadas «primitivas» como de las sociedades «evolucionadas» occidentales. Fruto de sus recursos económicos y de su enorme capacidad emprendedora fue la creación de una extraordinaria biblioteca y de un instituto de investigación para el estudio de la Historia del Arte con una marcada vocación interdisciplinar. El renacimiento del paganismo recoge (por primera vez en castellano) todos los artículos que, a caballo entre Hamburgo y Florencia, fue escribiendo mientras su salud mental se lo permitió. Desde sus primeros trabajos sobre la Primavera y el Nacimiento de Venus de Botticelli, a los más tardíos dedicados a la cultura astrológica en el entorno de Martin Lutero, los ensayos de Aby Warburg conforman una tupida malla tejida con hilos tan dispares como los de la poesía, la historia de la astrología o la magia, y por supuesto, las imágenes, el depósito fundamental de la memoria psicológica de la historia.",
     "author": [
      {
       "family": "Warburg",
       "given": "Aby"
      }
     ],
     "id": "7299034/9QWY62IZ",
     "issued": {
      "year": 2005
     },
     "language": "es",
     "note": "Google-Books-ID: GqsK7DJvA3AC",
     "number-of-pages": "630",
     "publisher": "Alianza Editorial",
     "shortTitle": "El renacimiento del paganismo",
     "title": "El renacimiento del paganismo: aportaciones a la historia cultural del Renacimiento europeo",
     "title-short": "El renacimiento del paganismo",
     "type": "book"
    },
    "7299034/9YEQKZLN": {
     "ISBN": "978-84-938142-6-7",
     "URL": "http://www.gbv.de/dms/casalini/11/11971339.pdf",
     "accessed": {
      "day": 28,
      "month": 3,
      "year": 2023
     },
     "author": [
      {
       "family": "Settis",
       "given": "Salvatore"
      },
      {
       "family": "Checa Cremades",
       "given": "Fernando"
      },
      {
       "family": "Saxl",
       "given": "Fritz"
      },
      {
       "family": "Warburg",
       "given": "Eric M."
      }
     ],
     "collection-title": "Coup de dés",
     "event-place": "Barcelona",
     "id": "7299034/9YEQKZLN",
     "issued": {
      "year": 2010
     },
     "language": "spa",
     "note": "OCLC: 846443223",
     "number-of-pages": "121",
     "publisher": "Ed. de La Central",
     "publisher-place": "Barcelona",
     "shortTitle": "Warburg continuatus",
     "title": "Warburg continuatus: descripción de una biblioteca ; [con motivo de la Exposición Atlas. Cómo Almacenar el Mundo?, organizada por el Museo Nacional Centro de Arte Reina Sofía, del 24 de noviembre de 2010 al 28 de marzo de 2011]",
     "title-short": "Warburg continuatus",
     "type": "book"
    },
    "7299034/CT29YC4T": {
     "author": [
      {
       "family": "Latour",
       "given": "Bruno"
      }
     ],
     "container-title": "Avant: Trends in Interdisciplinary Studies",
     "id": "7299034/CT29YC4T",
     "issue": "T",
     "issued": {
      "year": 2012
     },
     "note": "Publisher: Centre for Philosophical Research",
     "page": "207–260",
     "page-first": "207",
     "shortTitle": "Visualisation and Cognition",
     "title": "Visualisation and Cognition: Drawing Things Together",
     "title-short": "Visualisation and Cognition",
     "type": "article-journal",
     "volume": "3"
    },
    "7299034/DLYHLH3V": {
     "DOI": "10.11588/dah.2015.1.21631",
     "URL": "https://journals.ub.uni-heidelberg.de/index.php/dah/article/view/21631",
     "abstract": "I present a number of core concepts from data science that are relevant to digital art history and the use of quantitative methods to study any cultural artifacts or processes in general. These concepts are objects, features, data, feature space, and dimension reduction. These concepts enable computational exploration of both large and small visual cultural data. We can analyze relations between works on a single artist, many artists, all digitized production from a whole historical period, holdings in museum collections, collection metadata, or writings about art. The same concepts allow us to study contemporary vernacular visual media using massive social media content. (In our lab, we analyzed works by van Gogh, Mondrian, and Rothko, 6000 paintings by French Impressionists, 20,000 photographs from MoMA photo­graphy collection, one million manga pages from manga books, one million artworks of contemporary non-professional artists, and over 13 million Instagram images from 16 global cities.) While data science techniques do not replace other art historical methods, they allow us to see familiar art historical material in new ways, and also to study contemporary digital visual culture.",
     "accessed": {
      "day": 9,
      "month": 2,
      "year": 2023
     },
     "author": [
      {
       "family": "Manovich",
       "given": "Lev"
      }
     ],
     "container-title": "International Journal for Digital Art History",
     "id": "7299034/DLYHLH3V",
     "issue": "1",
     "issued": {
      "day": 26,
      "month": 6,
      "year": 2015
     },
     "language": "en",
     "note": "Number: 1",
     "title": "Data Science and Digital Art History",
     "type": "article-journal"
    },
    "7299034/E4J6TU6R": {
     "URL": "http://archive.org/details/journalaresiden01cochgoog",
     "abstract": "Book digitized by Google from the library of Harvard University and uploaded to the Internet Archive by user tpb.; 2 volumes : 19 cm; LC copy imperfect: ill. wanting. The port. is hand-colored",
     "accessed": {
      "day": 5,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Cochrane",
       "given": "Charles Stuart"
      }
     ],
     "id": "7299034/E4J6TU6R",
     "issued": {
      "year": 1825
     },
     "language": "eng",
     "number-of-pages": "543",
     "publisher": "London : Printed for Henry Colburn, New Burlington Street",
     "title": "Journal of a residence and travels in Colombia during the years 1823 and 1824",
     "type": "book"
    },
    "7299034/EAJWY34J": {
     "DOI": "10.1177/1470412908091934",
     "URL": "https://doi.org/10.1177/1470412908091934",
     "abstract": "What are the challenges and opportunities posed to the dominant interpretive paradigms of visual studies by the rise of a new fascination with the object? How can the study of visual culture respond to what has been variously termed a `pictorial' or an `iconic' turn? Can this phenomenological concern for the power of the image to determine its own reception be incorporated into approaches that emphasize its political implications? Is it possible to conceive of the image as both a representation and a presentation at the same time?",
     "accessed": {
      "day": 19,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Moxey",
       "given": "Keith"
      }
     ],
     "container-title": "Journal of Visual Culture",
     "id": "7299034/EAJWY34J",
     "issue": "2",
     "issued": {
      "day": 1,
      "month": 8,
      "year": 2008
     },
     "language": "en",
     "note": "Publisher: SAGE Publications",
     "page": "131-146",
     "page-first": "131",
     "title": "Visual Studies and the Iconic Turn",
     "type": "article-journal",
     "volume": "7"
    },
    "7299034/FARLPENA": {
     "DOI": "10.11588/DAH.2016.2.23489",
     "URL": "http://journals.ub.uni-heidelberg.de/index.php/dah/article/view/23489",
     "abstract": "In this paper, by extending the methodology of media archaeology to the praxis of Cultural Analytics/Media Visualization I ask how have we compared multitude of diverse images and what can we learn about the narratives that these comparisons allow? I turn to the work of Aby Warburg who attempted to organize close to two thousand images in his Mnemosyne Atlas. In comparing contemporary methods of image data visualization through cultural analytics method of remapping and the turn of the century methodology developed by Warburg under the working title of the “iconology of intervals,” I examine the shifts and continuities that have shaped informational aesthetics as well as data-driven narratives. Furthermore, in drawing parallels between contemporary Cultural Analytics/Media Visualization techniques, and Aby Warburg’s Atlas, I argue that contextual and image color data knowledge should continue to be important for digital art history. More specifically, I take the case study of Warburg’s Panel 45 in order to explore what we can learn through different visualization techniques about the role of color in the representation of violence and the promise of prosperous civil society.",
     "accessed": {
      "day": 12,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Hristova",
       "given": "Stefka"
      }
     ],
     "container-title": "<p>International Journal for Digital Art History",
     "id": "7299034/FARLPENA",
     "issued": {
      "year": 2016
     },
     "language": "en",
     "note": "Publisher: University Library Heidelberg",
     "page": "Year: 2015</p>",
     "page-first": "Year: 2015</p>",
     "shortTitle": "Images as Data",
     "title": "Images as Data: Cultural Analytics and Aby Warburg’s Mnemosyne",
     "title-short": "Images as Data",
     "type": "article-journal",
     "volume": "No 2"
    },
    "7299034/H2LJLXTS": {
     "DOI": "10.7916/D8SX6PCZ",
     "URL": "https://academiccommons.columbia.edu/doi/10.7916/D8SX6PCZ",
     "accessed": {
      "day": 8,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Freedberg",
       "given": "David"
      }
     ],
     "id": "7299034/H2LJLXTS",
     "issued": {
      "year": 2005
     },
     "note": "Publisher: Columbia University",
     "shortTitle": "Warburg's Mask",
     "title": "Warburg's Mask: A Study in Idolatry",
     "title-short": "Warburg's Mask",
     "type": "article-journal"
    },
    "7299034/HBG4E7CR": {
     "DOI": "10.1215/00182168-6933545",
     "URL": "https://doi.org/10.1215/00182168-6933545",
     "abstract": "When recognition of independence lay tantalizingly out of reach, officials of the first Colombian republic devoted funds and expertise toward hiring French-trained naturalists for an expedition. These officials' plan to gain diplomatic recognition of Colombia through European scientific patronage networks initially seemed poised to work. As promises of Colombian platinum piqued British moneylenders' interest, French mapmakers etched the naturalists' early findings onto copperplates. But both the expedition and the Colombian republic emerged amid the transatlantic geopolitical changes and local economic and political crises of the 1820s. The illness and death of key actors compounded these uncertainties. Drawing on published and manuscript correspondence, memoirs, and the naturalists' findings, in addition to a close reading of changes made to French-printed maps, this essay explores the entangled fates of the expedition and the Colombian republic to reveal the materiality and spatiality of natural history knowledge production and the praxis of geopolitics.",
     "accessed": {
      "day": 18,
      "month": 3,
      "year": 2023
     },
     "author": [
      {
       "family": "Del Castillo",
       "given": "Lina"
      }
     ],
     "container-title": "Hispanic American Historical Review",
     "container-title-short": "Hispanic American Historical Review",
     "id": "7299034/HBG4E7CR",
     "issue": "3",
     "issued": {
      "day": 1,
      "month": 8,
      "year": 2018
     },
     "journalAbbreviation": "Hispanic American Historical Review",
     "page": "407-438",
     "page-first": "407",
     "shortTitle": "Entangled Fates",
     "title": "Entangled Fates: French-Trained Naturalists, the First Colombian Republic, and the Materiality of Geopolitical Practice, 1819–1830",
     "title-short": "Entangled Fates",
     "type": "article-journal",
     "volume": "98"
    },
    "7299034/HQUVJJ2V": {
     "author": [
      {
       "family": "Gosselman",
       "given": "Carl August"
      }
     ],
     "id": "7299034/HQUVJJ2V",
     "issued": {
      "year": 1828
     },
     "language": "sv",
     "note": "Google-Books-ID: L0cpAAAAYAAJ",
     "number-of-pages": "314",
     "publisher": "Tryckt hos P.E. Winge",
     "title": "Resa i Colombia, åren 1825 och 1826",
     "type": "book"
    },
    "7299034/HY9N8YHZ": {
     "ISBN": "978-84-96775-58-9",
     "URL": "https://books.google.com.co/books?id=uXTVcQAACAAJ",
     "author": [
      {
       "family": "Didi-Huberman",
       "given": "G."
      }
     ],
     "collection-title": "Lecturas (Abada).: Historia del arte y de la arquitectura",
     "id": "7299034/HY9N8YHZ",
     "issued": {
      "year": 2009
     },
     "publisher": "Abada Editores",
     "title": "La imagen superviviente: Historia del arte y tiempo de los fantasmas según Aby Warburg",
     "type": "book"
    },
    "7299034/IC53A5GV": {
     "URL": "http://archive.org/details/voyagepittoresque00orbirich",
     "abstract": "2 p. \\U+fffd\\., xvi, 568 p",
     "accessed": {
      "day": 4,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "d'Orbigny",
       "given": "Alcide Dessalines d'"
      }
     ],
     "call-number": "nrlf_ucb:GLAD-50529040",
     "id": "7299034/IC53A5GV",
     "issued": {
      "year": 1841
     },
     "language": "fre",
     "number-of-pages": "652",
     "publisher": "Paris, Furne et cie",
     "title": "Voyage pittoresque dans les deux Amériques. Résumé général de tous les voyages de Colomb, Las-Casas, Oviedo ... Humboldt ... Franklin ... etc",
     "type": "book"
    },
    "7299034/JS2I4PY3": {
     "DOI": "10.31921/constelaciones.n2a2",
     "URL": "https://revistascientificas.uspceu.com/constelaciones/article/view/279",
     "abstract": "Aby Warburg es uno de los referentes culturales de estos últimos años; padre de la iconología y creador de la Kulturwissenschaft (Ciencia de la Cultura), es citádo prácticamente en todos los estudios sobre la imagen. Sin embargo, su revival ha venido acompañado de una serie de inexactitudes. El principal objetivo de este artículo es establecer la actualidad de su método de trabajo – si es que puede considerarse que éste realmente fué desarrollado – para el estudio y la crítica de la arquitectura contemporánea. Su forma de recontextualizar las imágenes se muestra especialmente útil a la hora de aproximarse al fragmento panorama arquitectónico actual. Pero antes es necesario aclarar una serie de cuestiones que empañan su figura. Entre ellas, las más relevantes son: la verdadera naturaleza del Atlas Mnemosyne y la relación de su propuesta con la de Walter Benjamin.",
     "accessed": {
      "day": 12,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Antón-Barco",
       "given": "María"
      }
     ],
     "container-title": "Constelaciones. Revista de Arquitectura de la Universidad CEU San Pablo",
     "container-title-short": "Constelaciones",
     "id": "7299034/JS2I4PY3",
     "issue": "2",
     "issued": {
      "day": 1,
      "month": 5,
      "year": 2014
     },
     "journalAbbreviation": "Constelaciones",
     "page": "45-55",
     "page-first": "45",
     "shortTitle": "El mito de la memoria",
     "title": "El mito de la memoria: Aby Warburg y el Atlas Mnemosyne",
     "title-short": "El mito de la memoria",
     "type": "article-journal"
    },
    "7299034/JVP6N5AR": {
     "URL": "https://gallica.bnf.fr/ark:/12148/bpt6k97741179",
     "abstract": "Histoire naturelle et souvenirs de voyage / F. Roulin -- 1865 -- livre",
     "accessed": {
      "day": 4,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Roulin",
       "given": "François"
      }
     ],
     "event-place": "Paris",
     "id": "7299034/JVP6N5AR",
     "issued": {
      "year": 1865
     },
     "language": "ES",
     "publisher": "J. Hetzel",
     "publisher-place": "Paris",
     "title": "Histoire naturelle et souvenirs de voyage / F. Roulin",
     "type": "book"
    },
    "7299034/KC6UKUR5": {
     "ISBN": "978-0-674-13800-1",
     "author": [
      {
       "family": "Peirce",
       "given": "Charles Sanders"
      }
     ],
     "id": "7299034/KC6UKUR5",
     "issued": {
      "year": 1931
     },
     "language": "en",
     "note": "Google-Books-ID: HoRfcRUtpnEC",
     "number-of-pages": "574",
     "publisher": "Harvard University Press",
     "title": "Collected Papers",
     "type": "book"
    },
    "7299034/KWRLHZYH": {
     "ISBN": "978-1-03-213916-6",
     "URL": "https://www.routledge.com/The-Invention-of-Humboldt-On-the-Geopolitics-of-Knowledge/Thurner-Canizares-Esguerra/p/book/9781032139166",
     "accessed": {
      "day": 9,
      "month": 2,
      "year": 2023
     },
     "editor": [
      {
       "family": "Cañizares-Esguerra",
       "given": "Jorge"
      },
      {
       "family": "Thurner",
       "given": "Mark"
      }
     ],
     "event-place": "Nueva York",
     "id": "7299034/KWRLHZYH",
     "issued": {
      "year": 2022
     },
     "publisher": "Routledge",
     "publisher-place": "Nueva York",
     "title": "The Invention of Humboldt: On the Geopolitics of Knowledge",
     "type": "book"
    },
    "7299034/LDB7UQ48": {
     "ISBN": "978-0-429-50518-8",
     "abstract": "The techniques or ideas that are highlighted in this chapter are the principle of the good neighbor through searching as researching; images as migrating units of meaning; framing as both a conceptual and structural strategy; the networked atlas; and moving between close and distant reading. What does Aby Warburg offer digital humanities (DHs) and digital art history? In what follows, the author aims to plot selected methods and strategies utilized by Warburg onto DHs. His underlying assumption is that Warburg’s Bilderatlas Mnemosyne allows for thinking though images using DH methods. In short, Warburg’s Bilderatlas works on the principles of what the author understand as critical DHs. Perhaps the best digital art history can do when engaging the Warburg experience is to take the pointers of Warburg’s method seriously and determine how they can be “remediated” and “remapped” into the digital.",
     "author": [
      {
       "family": "Preez",
       "given": "Amanda Du"
      }
     ],
     "container-title": "The Routledge Companion to Digital Humanities and Art History",
     "id": "7299034/LDB7UQ48",
     "issued": {
      "year": 2020
     },
     "note": "Num Pages: 12",
     "publisher": "Routledge",
     "shortTitle": "Approaching Aby Warburg and Digital Art History",
     "title": "Approaching Aby Warburg and Digital Art History: Thinking Through Images",
     "title-short": "Approaching Aby Warburg and Digital Art History",
     "type": "chapter"
    },
    "7299034/LZCATTRL": {
     "ISBN": "978-0-429-50518-8",
     "abstract": "This chapter aims to provide a methodological guide for digital humanities projects that measure, compare, or analyze gesture over large sets of images. It explores that the gesture——the relative positions and articulation of the human body’s limbs——is an unusually quantifiable parameter of visual studies, and therefore an extremely useful basis for Digital Art History. Gesture Studies, as it has become known, is already a strongly interdisciplinary field, containing art history, historical anthropology, psychology, semiotics and linguistics; this perhaps makes the intrusion of the computational less controversial. The most famous theory of gesture in the history of art is the “Pathosformel,” formula for the expression of pathos, described by Aby Warburg. Even correcting for the dimensions of the image, or indeed of the individual human body, two-dimensional coordinates are affected by the proportion of the limbs. Critical and historical discussions of gesture itself are rarer, and are usually consigned to historical anthropology.",
     "author": [
      {
       "family": "Impett",
       "given": "Leonardo"
      }
     ],
     "container-title": "The Routledge Companion to Digital Humanities and Art History",
     "id": "7299034/LZCATTRL",
     "issued": {
      "year": 2020
     },
     "note": "Num Pages: 22",
     "publisher": "Routledge",
     "title": "Analyzing Gesture in Digital Art History",
     "type": "chapter"
    },
    "7299034/MMKZJFIN": {
     "DOI": "10.11588/dah.2015.1.21638",
     "URL": "https://journals.ub.uni-heidelberg.de/index.php/dah/article/view/21638",
     "abstract": "Taking into account the call of this journal to examine the epistemological and methodological assumptions in the field of art history on the verge of its digital turn, the aim of this essay is to contribute to the ongoing discussion by questioning the role of the framing device in the context of image appropriation and critical interpretation of visual documents. Focusing on the cognitive and structural potential of the frame, a common feature between analogue and digital art historical practice, we try to provide points of historical perspective through a selection of particular examples (Giorgio Vasari, Gustav Ludwig and Aby Warburg) and bring them closer to the notions of instrumentation and interface.",
     "accessed": {
      "day": 28,
      "month": 3,
      "year": 2023
     },
     "author": [
      {
       "family": "Doulkaridou",
       "given": "Elli"
      }
     ],
     "container-title": "International Journal for Digital Art History",
     "id": "7299034/MMKZJFIN",
     "issue": "1",
     "issued": {
      "day": 26,
      "month": 6,
      "year": 2015
     },
     "language": "en",
     "note": "Number: 1",
     "title": "Reframing Art History",
     "type": "article-journal"
    },
    "7299034/MZ9FSNZV": {
     "ISBN": "958-33-0310-0",
     "author": [
      {
       "family": "Antei",
       "given": "Giorgio"
      }
     ],
     "event-place": "Bogotá",
     "id": "7299034/MZ9FSNZV",
     "issued": {
      "year": 1995
     },
     "language": "spa",
     "note": "Publication Title: Guía de forasteros : viajes ilustrados por Colombia, 1817-1857\nLCCN: 97161836",
     "publisher": "Seguros Bolívar",
     "publisher-place": "Bogotá",
     "title": "Guía de forasteros : viajes ilustrados por Colombia, 1817-1857",
     "type": "book"
    },
    "7299034/NINP9SWY": {
     "author": [
      {
       "family": "Pereira Salas",
       "given": "Eugenio"
      }
     ],
     "event-place": "Santiago",
     "id": "7299034/NINP9SWY",
     "issued": {
      "year": 1962
     },
     "language": "spa",
     "number-of-pages": "28",
     "publisher": "s.n.",
     "publisher-place": "Santiago",
     "shortTitle": "El rostro romántico de Chile [catálogo]",
     "title": "El rostro romántico de Chile [catálogo]: colección Armando Braun Menéndez",
     "title-short": "El rostro romántico de Chile [catálogo]",
     "type": "book"
    },
    "7299034/NZIIPQX3": {
     "DOI": "10.1080/01973762.2013.761106",
     "URL": "https://doi.org/10.1080/01973762.2013.761106",
     "abstract": "The field of art history faces unique challenges with regard to digital practice. While access and availability of the art historical corpus have been facilitated by the development of online repositories, tools for analysis or computational processing have been slow to emerge. This paper surveys some of the current directions in “digital” art history and addresses the difficulties that arise with regard to the remediation of images and their availability (and resistance) to techniques of data mining and other computational techniques.",
     "accessed": {
      "day": 27,
      "month": 3,
      "year": 2023
     },
     "author": [
      {
       "family": "Drucker",
       "given": "Johanna"
      }
     ],
     "container-title": "Visual Resources",
     "id": "7299034/NZIIPQX3",
     "issue": "1-2",
     "issued": {
      "day": 1,
      "month": 6,
      "year": 2013
     },
     "note": "Publisher: Routledge\n_eprint: https://doi.org/10.1080/01973762.2013.761106",
     "page": "5-13",
     "page-first": "5",
     "title": "Is There a “Digital” Art History?",
     "type": "article-journal",
     "volume": "29"
    },
    "7299034/P9BQM6PD": {
     "author": [
      {
       "family": "Carril",
       "given": "Bonifacio del"
      }
     ],
     "editor": [
      {
       "family": "Aguirre Saravia",
       "given": "Aníbal G."
      }
     ],
     "event-place": "Buenos Aires",
     "id": "7299034/P9BQM6PD",
     "issued": {
      "year": 1964
     },
     "number-of-pages": "236",
     "publisher": "Emecé",
     "publisher-place": "Buenos Aires",
     "title": "Monumenta iconographica : Paisajes, ciudades, tipos, usos y costumbres de la Argentina, 1536-1860",
     "type": "book"
    },
    "7299034/PQI8HPJH": {
     "URL": "https://www.medias19.org/publications/la-lettre-et-la-presse-poetique-de-lintime-et-culture-mediatique/linvention-des-magazines-illustres-au-xixe-siecle-dapres-la-correspondance-generale-dedouard-charton-1824-1890",
     "accessed": {
      "day": 8,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Aurenche",
       "given": "Marie-Laure"
      }
     ],
     "container-title": "Médias 19",
     "id": "7299034/PQI8HPJH",
     "issued": {
      "day": 14,
      "month": 9,
      "year": 2021
     },
     "language": "fr",
     "title": "L’invention des magazines illustrés au XIXe siècle, d’après la Correspondance générale d’Édouard Charton (1824-1890)",
     "type": "article-magazine"
    },
    "7299034/PQPY36FK": {
     "DOI": "10.13125/2039-6597/1349",
     "URL": "https://ojs.unica.it/index.php/between/article/view/1349",
     "abstract": "The Hamburg art historian Aby Warburg’s (1866-1929) idea of Kulturwissenschaft lends itself to interesting reflections in the context of what, in digital humanities, we call today the technology of linking and the visualization of complex systems (Manovich 2009; Lima 2011; Manovich 2012). Numerous are the affinities between Warburg’s method of work and the visual developments of semantic web, starting from the idea of connecting discrete areas. This suggests that digital technologies could enhance the resources of the Warburg Library and iconographic database in ways that could not only reflect but also expand the original plan of his founder. This article will concern the potential reconfiguration, or “remapping”, of the Warburg’s Library resources in the digital environment and anticipates further developments. The main questions we will address are, first, how the “narrative space” of the Library can be “remediated” (Bolter/Grusin 2001) through new techniques of visualization, and, second, how Linked Data and new techniques of visualization can support, and hopefully augment, Warburg’s approach to cultural history. The article concludes with a case study, the mythological figure of Venus: its presence in the Library and iconographic classification, its potential for linking and visualizing as well as the anticipated impact of such approach on the process of knowledge production and on scholarly research.",
     "accessed": {
      "day": 27,
      "month": 3,
      "year": 2023
     },
     "author": [
      {
       "family": "Patti",
       "given": "Emanuela"
      },
      {
       "family": "Quiviger",
       "given": "Francois"
      }
     ],
     "container-title": "Between",
     "id": "7299034/PQPY36FK",
     "issue": "8",
     "issued": {
      "day": 17,
      "month": 12,
      "year": 2014
     },
     "language": "en",
     "note": "Number: 8",
     "title": "“Linking Venus”. New Technologies of Memory and the Reconfiguration of Space at the Warburg Library",
     "type": "article-journal",
     "volume": "4"
    },
    "7299034/QCYRHZVF": {
     "ISBN": "978-0-415-02675-8",
     "URL": "http://link.library.utoronto.ca/eir/EIRdetail.cfm?Resources__ID=1058461&T=F",
     "abstract": "Presents an investigation of the way in which travel writing has constructed an image of the world beyond Europe for European readerships. This book focuses on writing about South America and Africa in relation to political and economic expansion of Europe. It also presents various Latin American texts through the concept of neocoloniality.",
     "accessed": {
      "day": 8,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Pratt",
       "given": "Mary Louise"
      }
     ],
     "event-place": "London",
     "id": "7299034/QCYRHZVF",
     "issued": {
      "year": 1992
     },
     "language": "eng",
     "note": "OCLC: 23900682",
     "number-of-pages": "257",
     "publisher": "Routledge",
     "publisher-place": "London",
     "shortTitle": "Imperial eyes",
     "title": "Imperial eyes: travel writing and transculturation",
     "title-short": "Imperial eyes",
     "type": "book"
    },
    "7299034/QU7TF99V": {
     "URL": "https://www.biodiversitylibrary.org/item/29350",
     "author": [
      {
       "family": "Audouin",
       "given": ", Jean Victor"
      },
      {
       "family": "Brongniart",
       "given": ", Adolphe"
      },
      {
       "family": "Dumas",
       "given": ", J.-B. (Jean-Baptiste)"
      }
     ],
     "id": "7299034/QU7TF99V",
     "issued": {
      "year": 1829
     },
     "number-of-pages": "568",
     "publisher": "Paris, Béchet Jeune, 1824-1833",
     "title": "Annales des sciences naturelles",
     "type": "book",
     "volume": "16"
    },
    "7299034/RTPHGI8V": {
     "URL": "https://docs.lib.purdue.edu/artlas/vol5/iss1/6",
     "author": [
      {
       "family": "De la Maza",
       "given": "Josefina"
      },
      {
       "family": "Márquez",
       "given": "Juan Ricardo Rey"
      },
      {
       "family": "Valdés",
       "given": "Catalina"
      },
      {
       "family": "Carrasco",
       "given": "Carolina Vanegas"
      }
     ],
     "container-title": "Artl@s Bulletin",
     "id": "7299034/RTPHGI8V",
     "issue": "1",
     "issued": {
      "day": 13,
      "month": 6,
      "year": 2016
     },
     "shortTitle": "Art Collectors in Network and Identity Narratives",
     "title": "Art Collectors in Network and Identity Narratives: Contributions to a Cartography of the Genre of Types and Costumes in South America",
     "title-short": "Art Collectors in Network and Identity Narratives",
     "type": "article-journal",
     "volume": "5"
    },
    "7299034/RVS8WMLC": {
     "DOI": "10.1080/01973762.2013.761129",
     "URL": "https://doi.org/10.1080/01973762.2013.761129",
     "abstract": "In the midst of the “digital revolution,” should we be pleased or disappointed about its effects in the field of art history? How does one answer this question, which is most likely premature and lacking in analytical acuity given what we know about art historical preferences and practices? But even if we accept the digital revolution as a broad concept to mean simply that image researchers have an unprecedented flood of reproductions at their fingertips, there is no question that we can still detect real feelings of unease about what this flood has brought us so far. This article takes a simple visual motif—one person carrying another—as a starting point for an iconographic exploration. In demonstrating and imagining how source material could be collected, arranged, and rearranged, it recalls in a general way the panels with photographs that Aby Warburg (1866–1929) set up to help him develop ideas and relationships in the process of his art historical research. If we could design easily accessible corpora of sources so that continuous rearrangement by visual motif and meaning were easy, and if we could seduce researchers and catalogers to cooperate in enriching them with more and better descriptions, tags, and links, the study of iconography could make a significant leap forward.",
     "accessed": {
      "day": 27,
      "month": 3,
      "year": 2023
     },
     "author": [
      {
       "family": "Brandhorst",
       "given": "Hans"
      }
     ],
     "container-title": "Visual Resources",
     "id": "7299034/RVS8WMLC",
     "issue": "1-2",
     "issued": {
      "day": 1,
      "month": 6,
      "year": 2013
     },
     "note": "Publisher: Routledge\n_eprint: https://doi.org/10.1080/01973762.2013.761129",
     "page": "72-88",
     "page-first": "72",
     "title": "Aby Warburg's Wildest Dreams Come True?",
     "type": "article-journal",
     "volume": "29"
    },
    "7299034/SPLKI368": {
     "ISBN": "978-2-35723-140-5",
     "URL": "http://books.openedition.org/enc/1120",
     "accessed": {
      "day": 14,
      "month": 1,
      "year": 2023
     },
     "author": [
      {
       "family": "Jeanjean-Becker",
       "given": "Caroline"
      }
     ],
     "collection-title": "Études et rencontres",
     "container-title": "Le livre d'architecture, XVe-XXe siècle : Édition, représentations et bibliothèques",
     "editor": [
      {
       "family": "Bouvier",
       "given": "Béatrice"
      },
      {
       "family": "Leniaud",
       "given": "Jean-Michel"
      }
     ],
     "event-place": "Paris",
     "id": "7299034/SPLKI368",
     "issued": {
      "day": 26,
      "month": 9,
      "year": 2018
     },
     "note": "Code: Le livre d'architecture, XVe-XXe siècle : Édition, représentations et bibliothèques",
     "page": "23-51",
     "page-first": "23",
     "publisher": "Publications de l’École nationale des chartes",
     "publisher-place": "Paris",
     "shortTitle": "Les récits illustrés de Voyages pittoresques",
     "title": "Les récits illustrés de Voyages pittoresques : une mode éditoriale",
     "title-short": "Les récits illustrés de Voyages pittoresques",
     "type": "chapter"
    },
    "7299034/SU34NHK8": {
     "ISBN": "84-323-0950-8",
     "author": [
      {
       "family": "Foucault",
       "given": "Michel"
      }
     ],
     "collection-title": "Teoría (Siglo XXI de España Editores)",
     "event-place": "México, D.F. ;",
     "id": "7299034/SU34NHK8",
     "issued": {
      "year": 1997
     },
     "language": "spa",
     "note": "Publication Title: Las palabras y las cosas : una arqueología de las ciencias humanas",
     "publisher": "Siglo XXI",
     "publisher-place": "México, D.F. ;",
     "title": "Las palabras y las cosas : una arqueología de las ciencias humanas",
     "type": "book"
    },
    "7299034/TJVGPCC8": {
     "ISBN": "978-958-664-136-4",
     "author": [
      {
       "family": "Alvarez Rincón",
       "given": "Beatriz"
      }
     ],
     "id": "7299034/TJVGPCC8",
     "issued": {
      "year": 2003
     },
     "language": "es",
     "note": "Google-Books-ID: IRSHDQEACAAJ",
     "number-of-pages": "23",
     "publisher": "Banco de la República",
     "shortTitle": "François Désiré Roulin",
     "title": "François Désiré Roulin: de la Guaira a Bogotá",
     "title-short": "François Désiré Roulin",
     "type": "book"
    },
    "7299034/UBQT2LZL": {
     "ISBN": "978-1-890951-39-9",
     "URL": "http://catdir.loc.gov/catdir/toc/fy045/2003042263.html",
     "abstract": "\"Aby Warburg (1866-1929) is best known as the originator of the discipline of iconology and as the founder of the institute that bears his name. His followers included such celebrated art historians of the twentieth century such as Erwin Panofsky, Edgar Wind, and Fritz Saxl. But his heirs developed, for the most part, a domesticated iconology based on the decipherment and interpretation of symbolic material. As Phillippe-Alain Michaud demonstrates in this important book, Warburg's project was remote from any positivist or neo-Kantian ambitions. Nourished on the work of Nietzsche and Jacob Burckhardt, Warburg fashioned a \"critical iconology\" to reveal the irrationality of the image in Western culture.\" \"Michaud provides us with a book not only about Warburg but one that extends his intuitions and discoveries into analyses of other categories of imagery like the Daguerreotype, the chronophotography of Etienne-Jules Marey, early cinema, and the dances of Loie Fuller. This edition also includes a foreword by Georges Didi-Huberman and texts by Warburg not previously translated into English.\"--Jacket",
     "accessed": {
      "day": 28,
      "month": 3,
      "year": 2023
     },
     "author": [
      {
       "family": "Michaud",
       "given": "Philippe-Alain"
      }
     ],
     "event-place": "New York",
     "id": "7299034/UBQT2LZL",
     "issued": {
      "year": 2004
     },
     "language": "eng",
     "note": "OCLC: 51722781",
     "number-of-pages": "402",
     "publisher": "Zone Books",
     "publisher-place": "New York",
     "title": "Aby Warburg and the image in motion",
     "type": "book"
    },
    "7299034/VAD5AUXZ": {
     "URL": "https://www.biodiversitylibrary.org/bibliography/39612",
     "author": [
      {
       "family": "Cuvier",
       "given": "Georges"
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      {
       "family": "Audouin",
       "given": "Jean Victor"
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      {
       "family": "Blanchard",
       "given": "Emile"
      },
      {
       "family": "Deshayes",
       "given": "G. P."
      },
      {
       "family": "Doyère",
       "given": "L."
      },
      {
       "family": "Dugès",
       "given": "Ant"
      },
      {
       "family": "Duvernoy",
       "given": "G. L."
      },
      {
       "family": "Laurillard",
       "given": "Charles Léopold"
      },
      {
       "family": "Milne-Edwards",
       "given": "H."
      },
      {
       "family": "d'Orbigny",
       "given": "Alcide Dessalines d'"
      },
      {
       "family": "Roulin",
       "given": "François Désiré"
      }
     ],
     "event-place": "Paris",
     "id": "7299034/VAD5AUXZ",
     "issued": {
      "year": 1836
     },
     "note": "DOI: 10.5962/bhl.title.39612\nPages: 1-298",
     "number-of-pages": "298",
     "publisher": "Fortin, Masson et cie",
     "publisher-place": "Paris",
     "title": "Le règne animal distribué d'après son organisation, pour servir de base à l'histoire naturelle des animaux et d'introduction à l'anatomie comparée",
     "type": "book"
    },
    "7299034/WFVWC9QP": {
     "DOI": "10.4067/S0717-71942007000200002",
     "URL": "http://www.scielo.cl/scielo.php?script=sci_abstract&pid=S0717-71942007000200002&lng=en&nrm=iso&tlng=es",
     "accessed": {
      "day": 3,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Diener",
       "given": "Pablo"
      }
     ],
     "container-title": "Historia (Santiago)",
     "id": "7299034/WFVWC9QP",
     "issue": "2",
     "issued": {
      "year": 2007
     },
     "note": "Publisher: Instituto de Historia. Pontificia Universidad Católica de Chile",
     "page": "185-309",
     "page-first": "185",
     "shortTitle": "LO PINTORESCO COMO CATEGORÍA ESTÉTICA EN EL ARTE DE VIAJEROS",
     "title": "Lo Pintoresco Como Categoría Estética en el Arte de Viajeros: Apuntes para la obra de Rugendas",
     "title-short": "LO PINTORESCO COMO CATEGORÍA ESTÉTICA EN EL ARTE DE VIAJEROS",
     "type": "article-journal",
     "volume": "40"
    },
    "7299034/X8HNX9QH": {
     "author": [
      {
       "family": "Agamben",
       "given": "Giorgio"
      }
     ],
     "event-place": "Valencia",
     "id": "7299034/X8HNX9QH",
     "issued": {
      "year": 2010
     },
     "publisher": "Pretextos",
     "publisher-place": "Valencia",
     "title": "Ninfas 2",
     "type": "book"
    },
    "7299034/XQRMQ6JZ": {
     "URL": "http://archive.org/details/lhommeamricaind03orbigoog",
     "abstract": "Book digitized by Google from the library of the New York Public Library and uploaded to the Internet Archive by user tpb.",
     "accessed": {
      "day": 7,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "d'Orbigny",
       "given": "Alcide Dessalines"
      }
     ],
     "id": "7299034/XQRMQ6JZ",
     "issued": {
      "year": 1839
     },
     "language": "Spanish",
     "number-of-pages": "394",
     "publisher": "Pitois-Levrault et C.",
     "shortTitle": "L'homme américain (de l'Amérique Méridionale)",
     "title": "L'homme américain (de l'Amérique Méridionale): considéré sous ses rapports ...",
     "title-short": "L'homme américain (de l'Amérique Méridionale)",
     "type": "book"
    },
    "7299034/XSTGEJL7": {
     "ISBN": "978-84-493-2200-6",
     "abstract": "George P. Landow actualiza el texto canónico Hipertexto, que en los años 90 fue el primero unir los mundos de la teoría literaria y la tecnología informática. La tercera edición incluye nuevos materiales sobre el desarrollo de las tecnologías vinculadas a Internet, deteniéndose especialmente en su creciente alcance global y en las implicaciones sociales y políticas de ésta tendencia vistas desde una perspectiva postcolonial. También analiza los blogs, las películas interactivas y la relación del hipermedia con los juegos",
     "author": [
      {
       "family": "Landow",
       "given": "George P."
      }
     ],
     "collection-title": "Paidos comunicación",
     "edition": "Nueva ed. rev. y amp",
     "event-place": "Barcelona",
     "id": "7299034/XSTGEJL7",
     "issued": {
      "year": 2009
     },
     "language": "spa",
     "note": "OCLC: 639149414",
     "number-of-pages": "530",
     "publisher": "Paidos",
     "publisher-place": "Barcelona",
     "shortTitle": "Hipertexto 3.0",
     "title": "Hipertexto 3.0: la teoría crítica y los nuevos medios en una época de globalización",
     "title-short": "Hipertexto 3.0",
     "type": "book"
    },
    "7299034/Y6X6CWGR": {
     "ISBN": "958-9144-25-X 978-958-9144-25-1",
     "author": [
      {
       "family": "Deas",
       "given": "Malcolm D."
      },
      {
       "family": "Sánchez",
       "given": "Efraín"
      },
      {
       "family": "Martínez Carreño",
       "given": "Aída"
      }
     ],
     "edition": "1. ed.",
     "editor": [
      {
       "family": "Brown",
       "given": "Joseph"
      }
     ],
     "event-place": "Bogotá :",
     "id": "7299034/Y6X6CWGR",
     "issued": {
      "year": 1989
     },
     "publisher": "Fondo Cultural Cafetero,",
     "publisher-place": "Bogotá :",
     "title": "Tipos y costumbres de la Nueva Granada : la colección de pinturas formada en Colombia por Joseph Brown entre 1825 y 1841 y el diario de su excursión a Girón, 1834 = Types and customs of New Granada : the collection of paintings made in Colombia by Joseph Brown between 1825 and 1841 and the journal of his excursion to Girón, 1834 /",
     "type": "book"
    },
    "7299034/YJEB294J": {
     "DOI": "10.1080/00045608.2011.577359",
     "URL": "http://www.tandfonline.com/doi/abs/10.1080/00045608.2011.577359",
     "accessed": {
      "day": 2,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Keighren",
       "given": "Innes M."
      },
      {
       "family": "Withers",
       "given": "Charles W.J."
      }
     ],
     "container-title": "Annals of the Association of American Geographers",
     "container-title-short": "Annals of the Association of American Geographers",
     "id": "7299034/YJEB294J",
     "issue": "6",
     "issued": {
      "year": 2011
     },
     "journalAbbreviation": "Annals of the Association of American Geographers",
     "language": "en",
     "page": "1331-1346",
     "page-first": "1331",
     "title": "Questions of Inscription and Epistemology in British Travelers’ Accounts of Early Nineteenth-Century South America",
     "type": "article-journal",
     "volume": "101"
    },
    "7299034/YJIU4CYH": {
     "ISBN": "978-958-33-5566-0",
     "author": [
      {
       "family": "Le Moyne",
       "given": "Auguste"
      },
      {
       "family": "Botero Mejía",
       "given": "Carlos"
      },
      {
       "family": "Restrepo",
       "given": "Nora"
      }
     ],
     "event-place": "Santafé de Bogotá, Colombia",
     "id": "7299034/YJIU4CYH",
     "issued": {
      "year": 2003
     },
     "language": "spa",
     "note": "OCLC: 55644826",
     "number-of-pages": "223",
     "publisher": "Museo Nacional de Colombia",
     "publisher-place": "Santafé de Bogotá, Colombia",
     "shortTitle": "Donación Carlos Botero, Nora Restrepo",
     "title": "Donación Carlos Botero, Nora Restrepo: Auguste Le Moyne en Colombia 1828-1841",
     "title-short": "Donación Carlos Botero, Nora Restrepo",
     "type": "book"
    },
    "7299034/ZAMMD7FP": {
     "ISBN": "978-0-262-04473-8",
     "abstract": "\"Visusalization argues for the importance of using traditional humanistic methodologies for the interpretation of graphical images (bar graphs, pie charts, network diagrams, etc.)\"--",
     "author": [
      {
       "family": "Drucker",
       "given": "Johanna"
      }
     ],
     "call-number": "P93.5 .D85 2020",
     "event-place": "Cambridge, Massachusetts",
     "id": "7299034/ZAMMD7FP",
     "issued": {
      "year": 2020
     },
     "publisher": "The MIT Press",
     "publisher-place": "Cambridge, Massachusetts",
     "shortTitle": "Visualization and interpretation",
     "title": "Visualization and interpretation: humanistic approaches to display",
     "title-short": "Visualization and interpretation",
     "type": "book"
    },
    "7299034/ZF79WP3U": {
     "URL": "https://revistas.unal.edu.co/index.php/ensayo/article/view/46166",
     "abstract": "This article reflects about the portrait as a genre based ona selection of allegedly live portraits of Simon Bolívar,also, explores the ways in which they have been analyzedhistorically and offers new hypotheses to interpret themfrom the perspective of cultural history. The second partfocuses on a state of the art or critical assessment of thehistoriographical approaches to Bolivar’s iconography,as a starting point for future approaches.",
     "accessed": {
      "day": 7,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Vanegas Carrasco",
       "given": "Carolina"
      }
     ],
     "container-title": "Ensayos: Historia y Teoría del Arte",
     "id": "7299034/ZF79WP3U",
     "issue": "22",
     "issued": {
      "day": 1,
      "month": 1,
      "year": 2012
     },
     "language": "es",
     "note": "Number: 22",
     "page": "112-134",
     "page-first": "112",
     "shortTitle": "Iconografía de Bolívar",
     "title": "Iconografía de Bolívar: revisión historiográfica",
     "title-short": "Iconografía de Bolívar",
     "type": "article-journal"
    },
    "7299034/ZJA9TWSP": {
     "URL": "http://archive.org/details/travelsthroughin01hami",
     "abstract": "2 volumes : 19 cm; Versos of half-title pages and colophons read: G. Woodfall, Angel Court, Skinner Street, London; Pagination: volume 1: [4], 332 pages, [3] leaves of plates; volume 2: [4], 256, [2] pages, [5] leaves of plates (1 folded); Signatures: [A]² ([A]2 verso blank) B-X⁸ Y⁶; volume 2: [A]² ([A]2 verso blank) B-R⁸ chi1 (chi1 verso blank); Directions to the binder: volume 2, page [1], 3rd count; The engravings are by Edward Finden. Folded frontispiece \"Map of the department of Cauca\" by I.R.A. engraved by J & C Walker; Purchase; B07-20",
     "accessed": {
      "day": 3,
      "month": 4,
      "year": 2023
     },
     "author": [
      {
       "family": "Hamilton",
       "given": "John Potter"
      }
     ],
     "call-number": "D827 .H218t",
     "id": "7299034/ZJA9TWSP",
     "issued": {
      "year": 1827
     },
     "language": "eng",
     "number-of-pages": "354",
     "publisher": "London: : John Murray, Albemarle Street.",
     "title": "Travels through the interior provinces of Columbia.",
     "type": "book"
    }
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