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Urban_GI/Typology (MapServer)

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Service Description: The urban GI typology and its analysis are expected to feed into the urban sustainability by providing insights on the environmental performance of cities regarding urban GI. Accordingly, a cluster analysis has been performed to identify cities that have similar characteristics when it comes to certain urban green infrastructure elements. The clustering of the cities has been based on 9 parameters: share of green urban areas, degree of soil sealing, distribution of green urban areas, effective green infrastructure (urban hinterland), hotspot ratio (hinterland), terrestrial urban blue areas, low density areas, share of urban forest, and share of Natura 2000 sites.\n\nOnce the clusters have been identified, both the centroid of each cluster and the distance of each parameter to the centroid were calculated in order to highlight the main characteristics defining each group. Here, the centroid is the mean value of all indicators for those cities that fall within the cluster. Those parameters showing larger distances are the ones that make the difference and characterise the group.\n\nFrom this process, 8 clusters came out that can be defined by their main characteristics as ‘Fragmented cities’, ‘Green outskirts cities’, ‘Natural cities’, ‘Hotspot cities’, ‘Green cities’, ‘Green-grey sealed cities’, ‘Forest cities’, and ‘Natural blue cities’. \nThis service was specifically created for UrbanGI Story Map, so its layer structure and attributes are tailored to the map’s needs.

Map Name: Typology

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Layers: Description: The urban GI typology and its analysis are expected to feed into the urban sustainability by providing insights on the environmental performance of cities regarding urban GI. Accordingly, a cluster analysis has been performed to identify cities that have similar characteristics when it comes to certain urban green infrastructure elements. The clustering of the cities has been based on 9 parameters: share of green urban areas, degree of soil sealing, distribution of green urban areas, effective green infrastructure (urban hinterland), hotspot ratio (hinterland), terrestrial urban blue areas, low density areas, share of urban forest, and share of Natura 2000 sites.\n\nOnce the clusters have been identified, both the centroid of each cluster and the distance of each parameter to the centroid were calculated in order to highlight the main characteristics defining each group. Here, the centroid is the mean value of all indicators for those cities that fall within the cluster. Those parameters showing larger distances are the ones that make the difference and characterise the group.\n\nFrom this process, 8 clusters came out that can be defined by their main characteristics as ‘Fragmented cities’, ‘Green outskirts cities’, ‘Natural cities’, ‘Hotspot cities’, ‘Green cities’, ‘Green-grey sealed cities’, ‘Forest cities’, and ‘Natural blue cities’. \nThis service was specifically created for UrbanGI Story Map, so its layer structure and attributes are tailored to the map’s needs.

Copyright Text: EEA, 2017

Spatial Reference: 3035  (3035)


Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriMeters

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info: Supports Dynamic Layers: false

MaxRecordCount: 1000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, AMF, geoJSON

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



Child Resources:   Info

Supported Operations:   Export Map   Identify   Find   Return Updates   Generate KML