{
  "@context": "https://schema.org/",
  "@type": "Dataset",
  "comment": "This dataset metadata was generated with the use of AI and reviewed by an expert. If you see any mistakes please file an issue on GitHub at https://github.com/earthcube/communityCollections/issues.",
  "@id": "https://elischolar.library.yale.edu/yale_fes_data/1/#dataset",
  "name": "Global Tree Density (Global tree density map)",
  "description": "Global tree density at a global scale provided as two spatially continuous raster maps of tree density. One map was generated using biome-level linear regression models and applied at the biome scale; the second map was generated using ecoregion-level linear regression models and applied at the ecoregion scale. The models were built using over 420,000 ground-sourced estimates of tree density and predictor variables spanning vegetative, climatic, topographic, and anthropogenic factors. The creators note that transitions at biome/ecoregion boundaries may appear abrupt and that estimates are generally more robust at country scale (or larger) than at individual pixel scale. The primary distribution is a zipped ArcGIS File Geodatabase package containing both raster models plus supporting ArcGIS layer and map-document files; additional files include a revision adding predictions for small islands and a WGS84 GeoTIFF derivative for the revision.",
  "url": "https://elischolar.library.yale.edu/yale_fes_data/1/",
  "creator": [
    {
      "@type": "Person",
      "name": "T. W. Crowther",
      "affiliation": {
        "@type": "Organization",
        "name": "Yale University"
      }
    },
    {
      "@type": "Person",
      "name": "H. B. Glick",
      "affiliation": {
        "@type": "Organization",
        "name": "Yale University"
      }
    },
    {
      "@type": "Person",
      "name": "K. R. Covey",
      "affiliation": {
        "@type": "Organization",
        "name": "Yale University"
      }
    },
    {
      "@type": "Person",
      "name": "G. Amatulli",
      "affiliation": {
        "@type": "Organization",
        "name": "Yale University"
      }
    },
    {
      "@type": "Person",
      "name": "M.-N. Tuanmu",
      "affiliation": {
        "@type": "Organization",
        "name": "Yale University"
      }
    },
    {
      "@type": "Person",
      "name": "W. Jetz",
      "affiliation": {
        "@type": "Organization",
        "name": "Yale University"
      }
    }
  ],
  "publisher": {
    "@type": "Organization",
    "name": "EliScholar (Yale School of the Environment)",
    "url": "https://elischolar.library.yale.edu/yale_fes_data/",
    "parentOrganization": {
      "@type": "Organization",
      "name": "Yale University",
      "url": "https://www.yale.edu/"
    }
  },
  "datePublished": "2015-09-02",
  "keywords": [
    "tree density",
    "forest",
    "global map",
    "biome",
    "ecoregion",
    "biodiversity",
    "conservation",
    "GIS",
    "ArcGIS",
    "GeoTIFF",
    "spatial modeling"
  ],
  "variableMeasured": [
    {
      "@type": "PropertyValue",
      "name": "Tree density (biome-level model)",
      "description": "Biome-level regression model predictions applied at biome scale.",
      "temporalCoverage": "2015-09-02",
      "spatialCoverage": {
        "@type": "Place",
        "name": "Global",
        "geo": {
          "@type": "GeoShape",
          "box": "-180,-90 180,90"
        }
      },
      "temporalResolution": "not detected",
      "spatialResolution": "Best suited for country-scale (or larger) summaries; pixel-level precision is less reliable per creators' guidance."
    },
    {
      "@type": "PropertyValue",
      "name": "Tree density (ecoregion-level model)",
      "description": "Ecoregion-level regression model predictions applied at ecoregion scale.",
      "temporalCoverage": "2015-09-02",
      "spatialCoverage": {
        "@type": "Place",
        "name": "Global",
        "geo": {
          "@type": "GeoShape",
          "box": "-180,-90 180,90"
        }
      },
      "temporalResolution": "not detected",
      "spatialResolution": "Best suited for country-scale (or larger) summaries; pixel-level precision is less reliable per creators' guidance."
    }
  ],
  "measurementTechnique": [
    "Compilation of >420,000 ground-sourced tree density estimates",
    "Linear regression modeling using vegetative, climatic, topographic, and anthropogenic predictors",
    "Modeling in R; mapping in R and ArcGIS 10.1"
  ],
  "funding": [
    {
      "@type": "Organization",
      "name": "Yale Climate and Energy Institute"
    },
    {
      "@type": "Organization",
      "name": "British Ecological Society"
    }
  ],
  "license": "https://creativecommons.org/licenses/by-nd/4.0/",
  "encodingFormat": [
    "application/zip",
    "application/x-esri-geodatabase",
    "image/tiff",
    "application=geotiff"
  ],
  "version": "2015-09-02 release; includes biome-level and ecoregion-level models; additional files provide Revision_01 (small islands) and a WGS84 GeoTIFF derivative for Revision_01.",
  "distribution": [
    {
      "@type": "DataDownload",
      "name": "Primary download (ZIP; ArcGIS File Geodatabase + supporting ArcGIS files)",
      "description": "Primary dataset package (zipped) containing an ArcGIS File Geodatabase (.gdb) with two rasters (biome-level and ecoregion-level), plus supporting ArcGIS layer files (.lyr) and a map document (.mxd).",
      "contentUrl": "https://elischolar.library.yale.edu/context/yale_fes_data/article/1000/type/native/viewcontent",
      "encodingFormat": [
        "application/zip"
      ]
    },
    {
      "@type": "DataDownload",
      "name": "Revision 01 (small islands) ZIP",
      "description": "Revision_01 adds tree density predictions for small islands not included in the primary download; follows the original file structure.",
      "contentUrl": "https://elischolar.library.yale.edu/cgi/viewcontent.cgi?article=1000&context=yale_fes_data&filename=0&type=additional",
      "encodingFormat": [
        "application/zip"
      ]
    },
    {
      "@type": "DataDownload",
      "name": "Revision 01 WGS84 GeoTIFF ZIP",
      "description": "Revision_01 biome-level model stored in WGS84 GeoTIFF format (reprojected from Goode Homolosine using nearest-neighbor resampling); includes the primary .tif and visualization support files.",
      "contentUrl": "https://elischolar.library.yale.edu/cgi/viewcontent.cgi?article=1000&context=yale_fes_data&filename=1&type=additional",
      "encodingFormat": [
        "application/zip"
      ]
    }
  ],
  "citation": [
    {
      "@type": "ScholarlyArticle",
      "name": "Mapping tree density at a global scale",
      "author": [
        {
          "@type": "Person",
          "name": "T. W. Crowther"
        },
        {
          "@type": "Person",
          "name": "H. B. Glick"
        },
        {
          "@type": "Person",
          "name": "K. R. Covey"
        },
        {
          "@type": "Person",
          "name": "et al."
        }
      ],
      "isPartOf": {
        "@type": "Periodical",
        "name": "Nature"
      },
      "datePublished": "2015-09-10",
      "identifier": [
        {
          "@type": "PropertyValue",
          "propertyID": "doi",
          "value": "10.1038/nature14967"
        }
      ],
      "sameAs": "https://doi.org/10.1038/nature14967"
    }
  ],
  "about": [
    {
      "@type": "Thing",
      "name": "Tree density"
    },
    {
      "@type": "Thing",
      "name": "Forests"
    },
    {
      "@type": "Thing",
      "name": "Land cover"
    },
    {
      "@type": "Thing",
      "name": "Biodiversity"
    },
    {
      "@type": "Thing",
      "name": "Global environmental mapping"
    }
  ]
}