{"accessLevel": "public", "bureauCode": ["010:12"], "contactPoint": {"@type": "vcard:Contact", "fn": "Georgina M Sanchez Salas", "hasEmail": "mailto:gsanchezsalas@usgs.gov"}, "description": "We simulated future patterns of urban growth using the FUTure Urban-Regional Environment Simulation (FUTURES; Meentemeyer et al., 2013) version 2 framework. FUTURES is an open source urban growth model designed to address the regional-scale ecological and environmental impacts of urbanization; it is one of the few land change models that explicitly captures the spatial structure of development in response to user-specified scenarios. We present probabilistic land change projections that predict urban growth under a Status Quo scenarios of growth. We computed each scenario for 50 stochastic iterations from 2020 through 2100 at annual time steps.", "distribution": [{"@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/P94N3ICH", "description": "Landing page for access to the data", "format": "XML", "mediaType": "application/http", "title": "Digital Data"}, {"@type": "dcat:Distribution", "description": "The metadata original format", "downloadURL": "https://data.usgs.gov/datacatalog/metadata/USGS.63f50297d34efa0476b04cf7.xml", "format": "XML", "mediaType": "text/xml", "title": "Original Metadata"}], "identifier": "http://datainventory.doi.gov/id/dataset/USGS_63f50297d34efa0476b04cf7", "keyword": ["USGS:63f50297d34efa0476b04cf7", "geospatial datasets", "imageryBaseMapsEarthCover", "land use change", "projection", "scenario", "scenario-based land change modeling", "society", "urban growth", "urbanization"], "modified": "2025-06-06T00:00:00Z", "publisher": {"@type": "org:Organization", "name": "U.S. Geological Survey"}, "spatial": "-125.3320, 24.1668, -66.6211, 49.2678", "theme": ["geospatial"], "title": "FUTURES v2: Status Quo Projections of Future Patterns of Urbanization Across the Conterminous United States from 2020 to 2100"}