ICLUS v1.3 Raw Housing Density for the Conterminous USA

Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic model generates county-level population estimates that are distributed by a spatial allocation model (SERGoM v3) as housing density across the landscape. Land-use outputs were developed for the four main SRES storylines and a baseline ("base case"). The model is run for the conterminous USA and output is semi-decadally for each scenario to 2100. In addition to housing density at a 1 hectare spatial resolution, this project also generated estimates of impervious surface at a resolution of 1 square kilometer.

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This dataset has no data

Field Value
access_constraints ["Use Constraints: None. Please check sources, scale, accuracy, currentness and other available information. Please confirm that you are using the most recent copy of both data and metadata. Acknowledgement of the EPA would be appreciated.", "Access Constraints: None."]
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bbox-north-lat 61.7110157
bbox-south-lat 6.65223303
bbox-west-long -138.21454852
contact-email morefield.philip@epa.gov
coupled-resource []
dataset-reference-date [{"type": "publication", "value": "2010-01-01"}]
frequency-of-update irregular
guid {5F363F21-CCC1-4ED5-BF53-1C3657AAD505}
licence ["https://edg.epa.gov/EPA_Data_License.html"]
licence_url https://edg.epa.gov/EPA_Data_License.html
lineage This lineage was generated by the FGDC CSDGM to 19139 transformation
metadata-date 2021-06-17
metadata-language eng; USA
metadata_type geospatial
old-spatial {"type": "Polygon", "coordinates": [[[-138.21454852, 6.65223303], [-12.68151645, 6.65223303], [-12.68151645, 61.7110157], [-138.21454852, 61.7110157], [-138.21454852, 6.65223303]]]}
progress completed
resource-type dataset
responsible-party [{"name": "U.S. Environmental Protection Agency, Office of Research and Development, National Center for Environmental Assessment (NCEA)", "roles": ["pointOfContact"]}]
spatial {"type": "Polygon", "coordinates": [[[-138.21454852, 6.65223303], [-12.68151645, 6.65223303], [-12.68151645, 61.7110157], [-138.21454852, 61.7110157], [-138.21454852, 6.65223303]]]}
spatial_harvester true
temporal-extent-begin 2000-01-01
temporal-extent-end 2100-01-01
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
  • climate
  • land
  • modeling
  • united states
isopen False
metadata_created 2025-09-23T14:28:10.267993
metadata_modified 2025-09-23T14:28:10.268000
notes Climate and land-use change are major components of global environmental change with feedbacks between these components. The consequences of these interactions show that land use may exacerbate or alleviate climate change effects. Based on these findings it is important to use land-use scenarios that are consistent with the specific assumptions underlying climate-change scenarios. The Integrated Climate and Land-Use Scenarios (ICLUS) project developed land-use outputs that are based on a downscaled version of the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) social, economic, and demographic storylines. ICLUS outputs are derived from a pair of models. A demographic model generates county-level population estimates that are distributed by a spatial allocation model (SERGoM v3) as housing density across the landscape. Land-use outputs were developed for the four main SRES storylines and a baseline ("base case"). The model is run for the conterminous USA and output is semi-decadally for each scenario to 2100. In addition to housing density at a 1 hectare spatial resolution, this project also generated estimates of impervious surface at a resolution of 1 square kilometer.
num_resources 0
num_tags 12
title ICLUS v1.3 Raw Housing Density for the Conterminous USA