{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Spatial relationships and operations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "import pandas as pd\n",
    "import geopandas\n",
    "\n",
    "pd.options.display.max_rows = 10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "countries = geopandas.read_file(\"zip://./data/ne_110m_admin_0_countries.zip\")\n",
    "cities = geopandas.read_file(\"zip://./data/ne_110m_populated_places.zip\")\n",
    "rivers = geopandas.read_file(\"zip://./data/ne_50m_rivers_lake_centerlines.zip\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Spatial relationships\n",
    "\n",
    "An important aspect of geospatial data is that we can look at *spatial relationships*: how two spatial objects relate to each other (whether they overlap, intersect, contain, .. one another).\n",
    "\n",
    "The topological, set-theoretic relationships in GIS are typically based on the DE-9IM model. See https://en.wikipedia.org/wiki/Spatial_relation for more information.\n",
    "\n",
    "![](img/TopologicSpatialRelarions2.png)\n",
    "(Image by [Krauss, CC BY-SA 3.0](https://en.wikipedia.org/wiki/Spatial_relation#/media/File:TopologicSpatialRelarions2.png))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Relationships between individual objects"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first create some small toy spatial objects:\n",
    "\n",
    "A polygon <small>(note: we use `.squeeze()` here to to extract the scalar geometry object from the GeoSeries of length 1)</small>:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "belgium = countries.loc[countries['name'] == 'Belgium', 'geometry'].squeeze()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Two points:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "paris = cities.loc[cities['name'] == 'Paris', 'geometry'].squeeze()\n",
    "brussels = cities.loc[cities['name'] == 'Brussels', 'geometry'].squeeze()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And a linestring:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "from shapely.geometry import LineString\n",
    "line = LineString([paris, brussels])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's visualize those 4 geometry objects together (I only put them in a GeoSeries to easily display them together with the geopandas `.plot()` method):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f9975ca11d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "geopandas.GeoSeries([belgium, paris, brussels, line]).plot(cmap='tab10')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can recognize the abstract shape of Belgium.\n",
    "\n",
    "Brussels, the capital of Belgium, is thus located within Belgium. This is a spatial relationship, and we can test this using the individual shapely geometry objects as follow:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "brussels.within(belgium)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And using the reverse, Belgium contains Brussels:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "belgium.contains(brussels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On the other hand, Paris is not located in Belgium:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "belgium.contains(paris)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "paris.within(belgium)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The straight line we draw from Paris to Brussels is not fully located within Belgium, but it does intersect with it:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "belgium.contains(line)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "line.intersects(belgium)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Spatial relationships with GeoDataFrames\n",
    "\n",
    "The same methods that are available on individual `shapely` geometries as we have seen above, are also available as methods on `GeoSeries` / `GeoDataFrame` objects.\n",
    "\n",
    "For example, if we call the `contains` method on the world dataset with the `paris` point, it will do this spatial check for each country in the `world` dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      False\n",
       "1      False\n",
       "2      False\n",
       "3      False\n",
       "4      False\n",
       "       ...  \n",
       "172    False\n",
       "173    False\n",
       "174    False\n",
       "175    False\n",
       "176    False\n",
       "Length: 177, dtype: bool"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countries.contains(paris)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Because the above gives us a boolean result, we can use that to filter the dataframe:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>iso_a3</th>\n",
       "      <th>name</th>\n",
       "      <th>continent</th>\n",
       "      <th>pop_est</th>\n",
       "      <th>gdp_md_est</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>FRA</td>\n",
       "      <td>France</td>\n",
       "      <td>Europe</td>\n",
       "      <td>67106161.0</td>\n",
       "      <td>2699000.0</td>\n",
       "      <td>(POLYGON ((2.513573032246114 51.14850617126189...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   iso_a3    name continent     pop_est  gdp_md_est  \\\n",
       "55    FRA  France    Europe  67106161.0   2699000.0   \n",
       "\n",
       "                                             geometry  \n",
       "55  (POLYGON ((2.513573032246114 51.14850617126189...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countries[countries.contains(paris)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And indeed, France is the only country in the world in which Paris is located."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another example, extracting the linestring of the Amazon river in South America, we can query through which countries the river flows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "amazon = rivers[rivers['name'] == 'Amazonas'].geometry.squeeze()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>iso_a3</th>\n",
       "      <th>name</th>\n",
       "      <th>continent</th>\n",
       "      <th>pop_est</th>\n",
       "      <th>gdp_md_est</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>BRA</td>\n",
       "      <td>Brazil</td>\n",
       "      <td>South America</td>\n",
       "      <td>207353391.0</td>\n",
       "      <td>3081000.0</td>\n",
       "      <td>POLYGON ((-57.625133429583 -30.21629485445423,...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>COL</td>\n",
       "      <td>Colombia</td>\n",
       "      <td>South America</td>\n",
       "      <td>47698524.0</td>\n",
       "      <td>688000.0</td>\n",
       "      <td>POLYGON ((-66.87632585312258 1.253360500489336...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>PER</td>\n",
       "      <td>Peru</td>\n",
       "      <td>South America</td>\n",
       "      <td>31036656.0</td>\n",
       "      <td>410400.0</td>\n",
       "      <td>POLYGON ((-69.52967810736496 -10.9517343075021...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    iso_a3      name      continent      pop_est  gdp_md_est  \\\n",
       "22     BRA    Brazil  South America  207353391.0   3081000.0   \n",
       "35     COL  Colombia  South America   47698524.0    688000.0   \n",
       "124    PER      Peru  South America   31036656.0    410400.0   \n",
       "\n",
       "                                              geometry  \n",
       "22   POLYGON ((-57.625133429583 -30.21629485445423,...  \n",
       "35   POLYGON ((-66.87632585312258 1.253360500489336...  \n",
       "124  POLYGON ((-69.52967810736496 -10.9517343075021...  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "countries[countries.crosses(amazon)]  # or .intersects"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\" style=\"font-size:120%\">\n",
    "<b>REFERENCE</b>: <br><br>\n",
    "\n",
    "Overview of the different functions to check spatial relationships (*spatial predicate functions*):\n",
    "\n",
    "* `equals`\n",
    "* `contains`\n",
    "* `crosses`\n",
    "* `disjoint`\n",
    "* `intersects`\n",
    "* `overlaps`\n",
    "* `touches`\n",
    "* `within`\n",
    "* `covers`\n",
    "\n",
    "\n",
    "See https://shapely.readthedocs.io/en/stable/manual.html#predicates-and-relationships for an overview of those methods.\n",
    "\n",
    "See https://en.wikipedia.org/wiki/DE-9IM for all details on the semantics of those operations.\n",
    "\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's practice!\n",
    "\n",
    "We will again use the Paris datasets to do some exercises. Let's start importing them again:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "districts = geopandas.read_file(\"data/paris_districts_utm.geojson\")\n",
    "stations = geopandas.read_file(\"data/paris_sharing_bike_stations_utm.geojson\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-success\">\n",
    " <b>EXERCISE</b>:\n",
    "\n",
    "\n",
    "* Create a shapely `Point` object for the Notre Dame cathedral (which has x/y coordinates of (452321.4581477511, 5411311.330882619))\n",
    "* Calculate the distance of each bike station to the Notre Dame.\n",
    "* Check in which district the Notre Dame is located.\n",
    " \n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "from shapely.geometry import Point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "clear_cell": true
   },
   "outputs": [],
   "source": [
    "notre_dame = Point(452321.4581477511, 5411311.330882619)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "clear_cell": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       2143.292639\n",
       "1       4138.525426\n",
       "2       4053.291188\n",
       "3       6427.098278\n",
       "4       6059.063211\n",
       "           ...     \n",
       "1221    2549.427604\n",
       "1222    3575.859934\n",
       "1223    1521.203550\n",
       "1224    5961.745568\n",
       "1225    2347.675288\n",
       "Length: 1226, dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stations.distance(notre_dame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "clear_cell": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     False\n",
       "1     False\n",
       "2     False\n",
       "3     False\n",
       "4     False\n",
       "      ...  \n",
       "75    False\n",
       "76    False\n",
       "77    False\n",
       "78    False\n",
       "79    False\n",
       "Length: 80, dtype: bool"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "districts.contains(notre_dame)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "clear_cell": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>district_name</th>\n",
       "      <th>population</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Notre-Dame</td>\n",
       "      <td>4087</td>\n",
       "      <td>POLYGON ((453143.5543612476 5410820.043549786,...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    id district_name  population  \\\n",
       "15  16    Notre-Dame        4087   \n",
       "\n",
       "                                             geometry  \n",
       "15  POLYGON ((453143.5543612476 5410820.043549786,...  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "districts[districts.contains(notre_dame)]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Spatial operations\n",
    "\n",
    "Next to the spatial predicates that return boolean values, Shapely and GeoPandas also provide operations that return new geometric objects.\n",
    "\n",
    "**Binary operations:**\n",
    "\n",
    "<table><tr>\n",
    "<td> <img src=\"img/spatial-operations-base.png\"/> </td>\n",
    "<td> <img src=\"img/spatial-operations-intersection.png\"/> </td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td> <img src=\"img/spatial-operations-union.png\"/> </td>\n",
    "<td> <img src=\"img/spatial-operations-difference.png\"/> </td>\n",
    "</tr></table>\n",
    "\n",
    "**Buffer:**\n",
    "\n",
    "<table><tr>\n",
    "<td> <img src=\"img/spatial-operations-buffer-point1.png\"/> </td>\n",
    "<td> <img src=\"img/spatial-operations-buffer-point2.png\"/> </td>\n",
    "</tr>\n",
    "<tr>\n",
    "<td> <img src=\"img/spatial-operations-buffer-line.png\"/> </td>\n",
    "<td> <img src=\"img/spatial-operations-buffer-polygon.png\"/> </td>\n",
    "</tr></table>\n",
    "\n",
    "\n",
    "See https://shapely.readthedocs.io/en/stable/manual.html#spatial-analysis-methods for more details."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For example, using the toy data from above, let's construct a buffer around Brussels (which returns a Polygon):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f997432a080>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "geopandas.GeoSeries([belgium, brussels.buffer(1)]).plot(alpha=0.5, cmap='tab10')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and now take the intersection, union or difference of those two polygons:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
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    "brussels.buffer(1).intersection(belgium)"
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  {
   "cell_type": "markdown",
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   "source": [
    "Another useful method is the `unary_union` attribute, which converts the set of geometry objects in a GeoDataFrame into a single geometry object by taking the union of all those geometries.\n",
    "\n",
    "For example, we can construct a single object for the Africa continent:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "africa_countries = countries[countries['continent'] == 'Africa']"
   ]
  },
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   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "africa = africa_countries.unary_union"
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   "cell_type": "code",
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      ],
      "text/plain": [
       "<shapely.geometry.multipolygon.MultiPolygon at 0x7f99742a04e0>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "africa"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MULTIPOLYGON (((49.54351891459575 -12.46983285894055, 49.80898074727909 -12.89528492599955, 50.05651085795716 -13.55576140712198, 50.21743126811407 -14.7587887508768, 50.47653689962553 -15.22651213955054, 50.37711144389596 -15.70606943121913, 50.20027469259318 -16.00026336025677, 49.86060550313868 -15.41425261806692, 49.67260664246086 -15.71020354580248, 49.86334435405016 -16.45103687913878, 49.77456424337271 -16.8750420060936, 49.49861209493412 -17.10603565843827, 49.43561852397031 -17.95306406013437, 49.04179243347394 -19.11878101977445, 48.54854088724801 -20.49688811613413, 47.93074913919867 -22.39150115325108, 47.54772342305131 -23.78195891692852, 47.0957613462266 -24.94162973399045, 46.28247765481709 -25.17846282318411, 45.40950768411045 -25.60143442149309, 44.83357384621755 -25.34610116953894, 44.03972049334976 -24.98834522878231, 43.76376834491117 -24.46067717864999, 43.69777754087445 -23.5741163062506, 43.34565433123763 -22.77690398528387, 43.254187046081 -22.05741301848412, 43\n"
     ]
    }
   ],
   "source": [
    "print(str(africa)[:1000])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-info\" style=\"font-size:120%\">\n",
    "<b>REMEMBER</b>: <br><br>\n",
    "\n",
    "GeoPandas (and Shapely for the individual objects) provides a whole lot of basic methods to analyse the geospatial data (distance, length, centroid, boundary, convex_hull, simplify, transform, ....), much more than the few that we can touch in this tutorial.\n",
    "\n",
    "\n",
    "* An overview of all methods provided by GeoPandas can be found here: http://geopandas.readthedocs.io/en/latest/reference.html\n",
    "\n",
    "\n",
    "</div>\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Let's practice!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-success\">\n",
    " <b>EXERCISE: What are the districts close to the Seine?</b>\n",
    " \n",
    " <p>\n",
    " Below, the coordinates for the Seine river in the neighbourhood of Paris are provided as a GeoJSON-like feature dictionary (created at http://geojson.io). \n",
    " </p>\n",
    " \n",
    "  <p>\n",
    " Based on this `seine` object, we want to know which districts are located close (maximum 150 m) to the Seine. \n",
    " </p>\n",
    " \n",
    " \n",
    " <p>\n",
    " <ul>\n",
    "  <li>Create a buffer of 150 m around the Seine.</li>\n",
    "  <li>Check which districts intersect with this buffered object.</li>\n",
    "  <li>Make a visualization of the districts indicating which districts are located close to the Seine.</li>\n",
    " </ul> \n",
    " </p>\n",
    " \n",
    "</div>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# created a line with http://geojson.io\n",
    "s_seine = geopandas.GeoDataFrame.from_features({\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"properties\":{},\"geometry\":{\"type\":\"LineString\",\"coordinates\":[[2.408924102783203,48.805619828930226],[2.4092674255371094,48.81703747481909],[2.3927879333496094,48.82325391133874],[2.360687255859375,48.84912860497674],[2.338714599609375,48.85827758964043],[2.318115234375,48.8641501307046],[2.298717498779297,48.863246707697],[2.2913360595703125,48.859519915404825],[2.2594070434570312,48.8311646245967],[2.2436141967773438,48.82325391133874],[2.236919403076172,48.82347994904826],[2.227306365966797,48.828339513221444],[2.2224998474121094,48.83862215329593],[2.2254180908203125,48.84856379804802],[2.2240447998046875,48.85409863123821],[2.230224609375,48.867989496547864],[2.260265350341797,48.89192242750887],[2.300262451171875,48.910203080780285]]}}]},\n",
    "                                               crs={'init': 'epsg:4326'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# convert to local UTM zone\n",
    "s_seine_utm = s_seine.to_crs(epsg=32631)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f99742abda0>"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "districts.plot(ax=ax, color='grey', alpha=0.4, edgecolor='k')\n",
    "s_seine_utm.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# access the single geometry object\n",
    "seine = s_seine_utm.geometry.squeeze()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "clear_cell": true
   },
   "outputs": [],
   "source": [
    "seine_buffer = seine.buffer(150)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "clear_cell": true
   },
   "outputs": [
    {
     "data": {
      "image/svg+xml": [
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      ],
      "text/plain": [
       "<shapely.geometry.polygon.Polygon at 0x7f99741dd908>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "seine_buffer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "clear_cell": true
   },
   "outputs": [],
   "source": [
    "districts_seine = districts[districts.intersects(seine_buffer)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "clear_cell": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f99741e5908>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(20, 10))\n",
    "districts.plot(ax=ax, color='grey', alpha=0.4, edgecolor='k')\n",
    "districts_seine.plot(ax=ax, color='blue', alpha=0.4, edgecolor='k')\n",
    "s_seine_utm.plot(ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}