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0112_SuburbanAreas (Map Service)


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Current Version: 10.81

Service Description:
Suburban Areas
Suburban communities—even though they have more green space than cities—can pose challenges for migratory birds. Non-native plants often dominate the landscape and birds may face outdoor cats and collisions with windows and other infrastructure. In some regions, manufacturing is common. By designing our suburban areas for wildlife and making our homes, yards, businesses, and green spaces bird-friendly, we can help birds throughout the year.

Data Source(s)
  • Gao J. 2017. Downscaling global spatial population projections from 1/8-degree to 1-km grid cells. NCAR Technical Note NCAR/TN-537+STR. Available from https://doi.org/10.5065/D60Z721H.
  • Gao J. 2020. Global 1-km downscaled population base year and projection grids based on the shared socioeconomic pathways, revision 01. NASA Socioeconomic Data and Applications Center, Palisades, NY. Available from https://doi.org/10.7927/q7z9-9r69.
Processing
We mapped suburban areas as a binary surface by identifying all 3-km cells where the human population density was between 100 and 1,000 people per square mile (38 to 386 per square kilometer) in 2010.

Most Relevant IUCN - CMP Unified Direct Threat Classification
1.1.2. Low-density suburban development


Map Name: AGOL

Legend

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Layers: Tables: Description:
Suburban Areas
Suburban communities—even though they have more green space than cities—can pose challenges for migratory birds. Non-native plants often dominate the landscape and birds may face outdoor cats and collisions with windows and other infrastructure. In some regions, manufacturing is common. By designing our suburban areas for wildlife and making our homes, yards, businesses, and green spaces bird-friendly, we can help birds throughout the year.

Data Source(s)
  • Gao J. 2017. Downscaling global spatial population projections from 1/8-degree to 1-km grid cells. NCAR Technical Note NCAR/TN-537+STR. Available from https://doi.org/10.5065/D60Z721H.
  • Gao J. 2020. Global 1-km downscaled population base year and projection grids based on the shared socioeconomic pathways, revision 01. NASA Socioeconomic Data and Applications Center, Palisades, NY. Available from https://doi.org/10.7927/q7z9-9r69.
Processing
We mapped suburban areas as a binary surface by identifying all 3-km cells where the human population density was between 100 and 1,000 people per square mile (38 to 386 per square kilometer) in 2010.

Most Relevant IUCN - CMP Unified Direct Threat Classification
1.1.2. Low-density suburban development


Copyright Text:

Spatial Reference:
102100

Single Fused Map Cache: true

Capabilities: Map,TilesOnly,Tilemap

Tile Info:
Initial Extent:
Full Extent:
Min Scale: 2.95828763795777E8
Max Scale: 9244648.868618

Min LOD: 1
Max LOD: 6

Units: esriMeters

Supported Image Format Types: Mixed

Export Tiles Allowed: false
Max Export Tiles Count: 100000

Document Info: