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Point locations are digitized from actual community locations based on satellite imagery. The footprint feature class was produced by digitally tracing the built areas from satellite imagery. This was done to represent the actual footprints more accurately than would have been possible from the U.S. Census Bureau’s Topologically Integrated Geographic Encoding and Referencing (TIGER) files. TIGER files are geospatial files with information on several political and administrative units. These shapefiles include polygon boundaries of geographic areas and features, linear features including roads and hydrography, and point features. The communities in Alaska were released as a polygon shapefile, with each community’s...
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Some of the NOS rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - As a final measure of potential human impacts to the ecoregions, the impacts of current anthropogenic development are summarized in a 60 x 60 m grid by the landscape condition model (LCM). The LCM weights the relative influence of different types of human footprints based on factors like permanence, nature of the activity,...
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Road densities derived from the TIGER data were analyzed to determine the relationship between road density and Bald eagle potential suitable habitat. The quality of a HUC in relation to road density was defined as good (3), fair (2), or poor (1). The score indicates the threat level for each attribute. A low score indicates a low threat, a medium score indicates a medium threat, and a high score indicates a high threat to the species. The values for each score were characterized in relation to road density by >10 km/km2 = good, 5-10 km/km2 = fair, and 2 = poor.
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Some of the CYR rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - The Cumulative Impacts analysis included the primary, measurable Change Agent variables that are likely to have the largest and most direct impact in the Central Yukon study area in the future. However, in order to “sum” the impacts, thresholds for meaningful change had to be defined for each variable. Cumulative Impacts are...
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4KM grid cell reporting units for the Colorado Plateau Ecoregion Used as analytical reporting unit for terrestrial conservation elements and terrestrial intactness.
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Some of the CYR rasters intentionally do not align or have the same extent. These rasters were not snapped to a common raster per the authors' discretion. Please review selected rasters prior to use. These varying alignments are a result of the use of differing source data sets and all products derived from them. We recommend that users snap or align rasters as best suits their own projects. - As a final measure of potential human impacts to the ecoregions, the impacts of current anthropogenic development are summarized in a 60 x 60 m grid by the landscape condition model (LCM). The LCM weighs the relative influence of different types of human footprints based on factors like permanence, nature of the activity,...
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Geospatial data includes structures and other selected map features.
Tags: Adair, Allen, Anderson, Ballard, Barren, All tags...
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Geospatial data includes structures and other selected map features.
Tags: Allen, Anderson, Atchison, Barber, Barton, All tags...
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Geospatial data includes structures and other selected map features.
Tags: Alamance, Alexander, Alleghany, Anson, Ashe, All tags...
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The Geographic Names Information System (GNIS) is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types.
Tags: Antarctica, Antarctica, Appling, Atkinson, BGN, All tags...


map background search result map search result map USGS National Structures Dataset (NSD) Hawaii (published 20240215) Shapefile USGS National Structures Dataset (NSD) Kentucky (published 20240215) Shapefile USGS National Structures Dataset (NSD) Massachusetts (published 20240215) Shapefile USGS National Structures Dataset (NSD) Nebraska (published 20240215) Shapefile USGS National Structures Dataset (NSD) North Carolina (published 20240215) Shapefile USGS National Structures Dataset (NSD) Florida (published 20240215) FileGDB USGS National Structures Dataset (NSD) Kansas (published 20240215) FileGDB USGS National Structures Dataset (NSD) Montana (published 20240215) FileGDB USGS National Structures Dataset (NSD) New Mexico (published 20240215) FileGDB USGS National Structures Dataset (NSD) North Dakota (published 20240215) FileGDB USGS National Structures Dataset (NSD) Oregon (published 20240215) FileGDB USGS National Structures Dataset (NSD) South Carolina (published 20240215) FileGDB BLM REA COP 2010 AT N Urban DN 4km poly BLM REA NOS 2012 Community Locations in the North Slope Study Area BLM REA NGB 2011 Road Density near Bald Eagle suitable habitat (GAP) (Summer) BLM REA CYR 2013 Near-term (2020s) Cumulative Impacts in the Central Yukon study area BLM REA CYR 2013 Current (2015) Landscape Condition BLM REA NOS 2012 Current (2015) Landscape Condition per 5th Level Hydrologic Unit BLM REA COP 2014 UT Powerlines Geographic Names Information System (GNIS) Full Model for GA (published 20240206) GeoPackage USGS National Structures Dataset (NSD) Massachusetts (published 20240215) Shapefile USGS National Structures Dataset (NSD) South Carolina (published 20240215) FileGDB USGS National Structures Dataset (NSD) Kentucky (published 20240215) Shapefile Geographic Names Information System (GNIS) Full Model for GA (published 20240206) GeoPackage USGS National Structures Dataset (NSD) Kansas (published 20240215) FileGDB USGS National Structures Dataset (NSD) North Dakota (published 20240215) FileGDB USGS National Structures Dataset (NSD) North Carolina (published 20240215) Shapefile USGS National Structures Dataset (NSD) Nebraska (published 20240215) Shapefile BLM REA COP 2010 AT N Urban DN 4km poly USGS National Structures Dataset (NSD) New Mexico (published 20240215) FileGDB BLM REA COP 2014 UT Powerlines USGS National Structures Dataset (NSD) Oregon (published 20240215) FileGDB USGS National Structures Dataset (NSD) Florida (published 20240215) FileGDB USGS National Structures Dataset (NSD) Montana (published 20240215) FileGDB BLM REA NGB 2011 Road Density near Bald Eagle suitable habitat (GAP) (Summer) BLM REA NOS 2012 Community Locations in the North Slope Study Area BLM REA NOS 2012 Current (2015) Landscape Condition per 5th Level Hydrologic Unit BLM REA CYR 2013 Near-term (2020s) Cumulative Impacts in the Central Yukon study area BLM REA CYR 2013 Current (2015) Landscape Condition USGS National Structures Dataset (NSD) Hawaii (published 20240215) Shapefile