{ "currentVersion": 11.5, "cimVersion": "3.5.0", "serviceDescription": "
This raster dataset represents landscape fragmentation across EEA38 plus the United Kingdom in 201<\/span>5<\/span> using normalised effective mesh size (meff) at 1 km resolution.<\/span><\/p> <\/p> The indicator was calculated using the cutting-out procedure within the EEA 1 km reference grid. The fragmentation geometry was derived from two principal input datasets: transportation infrastructure, including selected road classes and railways, from the <\/span>commercial <\/span>TomTom MultiNet vector dataset provided by Eurostat; and built-up surfaces derived from the harmonised 100 m Imperviousness Density (IMD) dataset produced within the Copernicus Land Monitoring Service. An imperviousness threshold of 30% was applied to identify built-up areas, while roads were buffered according to their functional class.<\/span><\/p> <\/p> The normalised meff value expresses the probability that two randomly selected points within a reporting unit belong to the same unfragmented landscape patch. Values range from 0 to 1, where values close to 0 indicate very high landscape fragmentation and low connectivity, while values close to 1 indicate a largely unfragmented and highly connected landscape.<\/span><\/p><\/div><\/div><\/div>",
"mapName": "Map",
"description": "This raster dataset represents landscape fragmentation across EEA38 plus the United Kingdom in 2015 using normalised effective mesh size (meff) at 1 km resolution.The indicator was calculated using the cutting-out procedure within the EEA 1 km reference grid. The fragmentation geometry was derived from two principal input datasets: transportation infrastructure, including selected road classes and railways, from the commercial TomTom MultiNet vector dataset provided by Eurostat; and built-up surfaces derived from the harmonised 100 m Imperviousness Density (IMD) dataset produced within the Copernicus Land Monitoring Service. An imperviousness threshold of 30% was applied to identify built-up areas, while roads were buffered according to their functional class.The normalised meff value expresses the probability that two randomly selected points within a reporting unit belong to the same unfragmented landscape patch. Values range from 0 to 1, where values close to 0 indicate very high landscape fragmentation and low connectivity, while values close to 1 indicate a largely unfragmented and highly connected landscape.",
"copyrightText": "European Environment Agency (EEA) and European Topic Centre on Data Integration and Digitalisation (ETC DI). Produced by GISAT with financial support from the European Commission\u2019s Directorate-General for Regional and Urban Policy (DG REGIO).",
"supportsDynamicLayers": true,
"layers": [
{
"id": 0,
"name": "Normalized effective mesh size (meff), 2015",
"parentLayerId": -1,
"defaultVisibility": true,
"subLayerIds": null,
"minScale": 0,
"maxScale": 0,
"type": "Raster Layer",
"supportsDynamicLegends": true
}
],
"tables": [],
"spatialReference": {
"wkid": 3035,
"latestWkid": 3035,
"xyTolerance": 0.001,
"zTolerance": 0.001,
"mTolerance": 0.001,
"falseX": -8426600,
"falseY": -9526700,
"xyUnits": 10000,
"falseZ": -100000,
"zUnits": 10000,
"falseM": -100000,
"mUnits": 10000
},
"singleFusedMapCache": false,
"initialExtent": {
"xmin": 624300,
"ymin": 454805.3249097476,
"xmax": 7635700,
"ymax": 5903194.675090252,
"spatialReference": {
"wkid": 3035,
"latestWkid": 3035,
"xyTolerance": 0.001,
"zTolerance": 0.001,
"mTolerance": 0.001,
"falseX": -8426600,
"falseY": -9526700,
"xyUnits": 10000,
"falseZ": -100000,
"zUnits": 10000,
"falseM": -100000,
"mUnits": 10000
}
},
"fullExtent": {
"xmin": 943000.0000000005,
"ymin": 941000,
"xmax": 7317000,
"ymax": 5417000,
"spatialReference": {
"wkid": 3035,
"latestWkid": 3035,
"xyTolerance": 0.001,
"zTolerance": 0.001,
"mTolerance": 0.001,
"falseX": -8426600,
"falseY": -9526700,
"xyUnits": 10000,
"falseZ": -100000,
"zUnits": 10000,
"falseM": -100000,
"mUnits": 10000
}
},
"datesInUnknownTimezone": false,
"minScale": 0,
"maxScale": 0,
"units": "esriMeters",
"supportedImageFormatTypes": "PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP",
"documentInfo": {
"Title": "Normalized effective mesh size (meff), 2015",
"Author": "",
"Comments": "This raster dataset represents landscape fragmentation across EEA38 plus the United Kingdom in 2015 using normalised effective mesh size (meff) at 1 km resolution.The indicator was calculated using the cutting-out procedure within the EEA 1 km reference grid. The fragmentation geometry was derived from two principal input datasets: transportation infrastructure, including selected road classes and railways, from the commercial TomTom MultiNet vector dataset provided by Eurostat; and built-up surfaces derived from the harmonised 100 m Imperviousness Density (IMD) dataset produced within the Copernicus Land Monitoring Service. An imperviousness threshold of 30% was applied to identify built-up areas, while roads were buffered according to their functional class.The normalised meff value expresses the probability that two randomly selected points within a reporting unit belong to the same unfragmented landscape patch. Values range from 0 to 1, where values close to 0 indicate very high landscape fragmentation and low connectivity, while values close to 1 indicate a largely unfragmented and highly connected landscape.",
"Subject": "Normalised effective mesh size (meff) representing landscape fragmentation across EEA38 plus the United Kingdom in 2015 at 1 km resolution, calculated using the cutting-out procedure. Values range from 0 to 1, where lower values indicate higher landscape fragmentation and lower connectivity, while higher values indicate greater landscape connectivity.",
"Category": "",
"Version": "3.5.0",
"AntialiasingMode": "Fast",
"TextAntialiasingMode": "Force",
"Keywords": "REGIND,landscape fragmentation,effective mesh size,meff,cutting-out procedure,EEA,2015"
},
"supportsQueryDomains": true,
"capabilities": "Map,Query,Data",
"supportedQueryFormats": "JSON, geoJSON, PBF",
"exportTilesAllowed": false,
"referenceScale": 0.0,
"datumTransformations": [
{
"geoTransforms": [
{
"wkid": 1149,
"latestWkid": 1149,
"transformForward": false,
"name": "ETRS_1989_To_WGS_1984"
}
]
},
{
"geoTransforms": [
{
"wkid": 1149,
"latestWkid": 1149,
"transformForward": true,
"name": "ETRS_1989_To_WGS_1984"
}
]
},
{
"geoTransforms": [
{
"wkid": 1149,
"latestWkid": 1149,
"transformForward": false,
"name": "ETRS_1989_To_WGS_1984"
}
]
},
{
"geoTransforms": [
{
"wkid": 1149,
"latestWkid": 1149,
"transformForward": true,
"name": "ETRS_1989_To_WGS_1984"
}
]
}
],
"supportsDatumTransformation": true,
"archivingInfo": {"supportsHistoricMoment": false},
"supportsClipping": true,
"supportsSpatialFilter": true,
"supportsTimeRelation": true,
"supportsQueryDataElements": true,
"mapUnits": {"uwkid": 9001},
"maxSelectionCount": 2000,
"maxRecordCount": 2000,
"maxImageHeight": 4096,
"maxImageWidth": 4096,
"supportedExtensions": "WMSServer"
}