BLM REA COP 2010 Near-Term High Landscape Development

This dataset provides a measure of near-term high development, as an integration of several factors representing landscape development. This measure was calculated using a fuzzy logic model, which is represented in graphical format in \Vector\Change_Agents\Development\Documentation\COP_DV_logic_models.pptx This dataset represents the combination of energy, agriculture, urban, and recreation development. Original source data were summarized to 4KM reporting unit, and converted to fuzzy values (rescaled on a -1 to 1 value range) for input to the fuzzy logic model. These data include: utility lines, pipelines (from BLM), oil/gas wells (from BLM), oil/gas well anticipated development (from Holly Copeland 2009), mines (from multiple sources), geothermal wells (from multiple sources), intensive agriculture (from LANDFIRE existing vegetation dataset), urban areas (from LANDFIRE existing vegetation dataset and NLCD impervious surfaces, and projections of urban growth from David Theobald), grazing allotments (from USFS and BLM), ground transportation features (from BLM), recreation areas, sites, and travel corridors (compiled from BLM and USFS data sources for another management question in this REA). See source information below for complete list of data sources. The final measure of high development was calculated as the maximum of high energy development, high agricultural development, high urban development, and high recreational development.