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  "@type": "Dataset",
  "@id": "https://raw.githubusercontent.com/WIOSymphony/wiosym/main/products/v2.1/output_geotiffs/pres/light_pollution.json",
  "name": "Light pollution - Artificial lights from buildings, settlements and platforms (not fishing) - pressure layer from the WIO Symphony tool",
  "description": "The annual time series of global VIIRS nighttime lights were used, derived from monthly averages from 2012 to 2019 provided by NASA. The focal moving window weight matrix was applied, and Gaussian filters with a 5000 meter radius were used. Known limitations: Light data from VIIRS sattelite is spatially accurate but it is difficult to judge the intensity and frequency of light pollution on the ground",
  "license": "This work is licensed under a  Creative Commons Attribution (CC-BY) 4.0 License",
  "citation": "Kågesten G (2022). Light pollution - ecosystem component from the WIO Symphony tool. URL: https://github.com/WIOSymphony/",
  "version": "v2.1",
  "keywords": [
    "Western Indian Ocean",
    "WIO Symphony",
    "Symphony",
    "Cumulative impact assessment",
    "Marine spatial planning",
    "Ecosystems",
    "Pressures",
    "Light pollution"
  ],
  "distribution": {
    "@type": "DataDownload",
    "contentUrl": "https://github.com/WIOSymphony/wiosym/raw/main/products/v2.1/output_geotiffs/pres/light_pollution.tif",
    "encodingFormat": "application/tiff"
  },
  "spatialCoverage": {
    "@type": "Place",
    "geo": {
      "@type": "GeoShape",
      "polygon": "6.0 18.0, 6.0 -42.0, 80.0 -42.0, 80.0 18.0, 6.0 18.0"
    },
    "additionalProperty": {
      "@type": "PropertyValue",
      "propertyID": "http://dbpedia.org/resource/Spatial_reference_system",
      "value": "http://www.w3.org/2003/01/geo/wgs84_pos#lat_long"
    }
  },
  "provider": [
    {
      "@type": "Organization",
      "legalName": "WIO Symphony team",
      "name": "WIO Symphony team",
      "url": "https://www.nairobiconvention.org/wio-symphony/"
    }
  ]
}