• Organization: City of Los Angeles
• Updated: 2024-04-10

Area Planning Commission Boundary

• json
• rdf
• xml
• csv

• Organization: Department of the Interior
• Updated: 2025-08-05T17:34:19.848Z

MetadataThese data are an outline version of BOEM‘s offshore wind planning areas. These areas represent the current investigations by BOEM for new areas of interest in wind energy development....

• csv
• xls
• none
• zip
• none
• json
• +6 more

• Organization: State of California
• Updated: 2020-02-28T23:19:19.078Z

BDCP Planning Area comprised of the Statutory Delta, the Suisun Marsh, Yolo Bypass and additional adjustments.

• html
• csv
• json
• kml
• zip
• api

• Organization: City of Bloomington
• Updated: 2025-03-01

Boundary polygon describing the Metropolitan Planning Area that covers Bloomington, Ellettsville, and parts of Monroe County Indiana.The Bloomington-Monroe County Metropolitan Planning...

• json
• rdf
• xml
• csv

• Organization: City of Austin
• Updated: 2025-09-30

This dataset reflects existing small area plans, but the statistics are no longer being updated. The Planning Department's Small Area Planning team is currently developing a new assessment and...

• pdf

• Organization: Department of the Interior
• Updated: 2024-01-18T19:16:16Z

This layer represents the boundaries for existing and in-progress BLM Land Use Planning Area (LUPA) polygons. Land Use Planning Areas are geographic areas within which the BLM will make decisions...

• none
• api
• xml

• Organization: Department of the Interior
• Updated: 2024-01-18T19:16:16Z

This layer represents the boundaries for existing and in-progress BLM Land Use Planning Area (LUPA) polygons. Land Use Planning Areas are geographic areas within which the BLM will make decisions...

• csv
• zip
• json
• kml
• zip
• none
• +2 more

• Organization: Department of the Interior
• Updated: 2022-03-14T00:00:00Z

The U.S. Geological Survey Central Energy Science Center (CERSC) was asked to provide allocations of oil and gas resources and numbers of potential wells calculated from these allocated resources...

• xml
• xml

• Organization: Department of the Interior
• Updated: 2024-01-18T19:16:16Z

This layer represents the boundaries for existing and in-progress BLM Land Use Planning Area (LUPA) polygons. Land Use Planning Areas are geographic areas within which the BLM will make decisions...

• csv
• zip
• json
• kml
• zip
• none
• +2 more

• Organization: Department of the Interior
• Updated: 2024-03-04T20:20:21Z

This polygon feature class represents the spatial extent and boundaries for anticipated, in-progress, existing and historic BLM Land Use Planning Area (LUPA) polygons within the BLM Administrative...

• csv
• zip
• json
• kml
• zip
• none
• +2 more

• Organization: Department of the Interior
• Updated: 2022-09-28T14:15:24Z

This polygon feature class represents the spatial extent and boundaries for anticipated, in-progress, existing and historic BLM Land Use Planning Area (LUPA) polygons. Land Use Planning Areas are...

• csv
• zip
• json
• kml
• zip
• none
• +2 more

• Organization: Department of the Interior
• Updated: 2022-09-28T14:15:24Z

This polygon feature class represents the spatial extent and boundaries for anticipated, in-progress, existing and historic BLM Land Use Planning Area (LUPA) polygons. Land Use Planning Areas are...

• csv
• zip
• json
• kml
• zip
• none
• +2 more

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2012-05-01T00:00:00.000+00:00

This dataset represents sediment composition class predictions from a sediment spatial model developed for the New York offshore spatial planning area. The predictive spatial model of mean grain...

• none
• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2012-05-01T00:00:00.000+00:00

This dataset represents sediment size predictions from a sediment spatial model developed for the New York offshore spatial planning area. The model also includes spatially-explicit uncertainty...

• none
• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2012-05-01T00:00:00.000+00:00

This dataset represents hard bottom occurrence predictions from a spatial model developed for the New York offshore spatial planning area. This model builds upon the data compilation and...

• none
• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2012-05-01T00:00:00.000+00:00

This dataset represents seabird diversity predictions from spatial models developed for the New York offshore spatial planning area. This raster was derived from multiple individual species...

• none
• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2012-05-01T00:00:00.000+00:00

This dataset represents seabird species richness, or number of species, predictions from spatial models developed for the New York offshore spatial planning area. This raster was derived from...

• none
• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2012-05-01T00:00:00.000+00:00

This dataset represents depth predictions from a bathymetric model developed for the New York offshore spatial planning area. The model also includes spatially-explicit uncertainty estimates...

• none
• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2012-05-01T00:00:00.000+00:00

This dataset represents sediment size prediction uncertainty from a sediment spatial model developed for the New York offshore spatial planning area. The model also includes spatially-explicit...

• none
• none
• none
• none

• Organization: National Oceanic and Atmospheric Administration, Department of Commerce
• Updated: 2012-05-01T00:00:00.000+00:00

This dataset represents depth uncertainty predictions from a bathymetric model developed for the New York offshore spatial planning area. The model also includes spatially-explicit depth...

• none
• none
• none
• none