Filters: Tags: Wyoming (X) > partyWithName: U.S. Geological Survey (X)
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Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
Types: Citation;
Tags: 7.5 x 7.5 minute,
7.5 x 7.5 minute,
Campbell County,
Combined Vector,
Combined Vector,
Proportion of low and black sagebrush land cover within a 5-km radius developed using a circular focal moving window analysis.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster,
Shapefile;
Tags: Artemisia arbuscula,
Artemisia nova,
Colorado,
Idaho,
Montana,
Location of mixed shrubland land cover obtained from the LANDFIRE Existing Vegetation Type dataset.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Idaho,
Montana,
United States,
Utah,
Development of oil and gas wells leads to the destruction and fragmentation of natural habitat. Oil and gas wells also increase noise levels which has been shown to be detrimental to some wildlife species. Therefore, the density of oil and gas wells in the western United States was modeled based on data obtained from the National Oil and Gas Assessment.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Conservation Assessment,
Idaho,
This data set depicts soil characteristics in western North America. The data set was created from NRCS STATSGO soil data. Calculations were made to reduce one to many relationships to one to one relationships in order to summarize average water capacity, depth to rock, salinity, and pH for each map unit (MUID). ArcMap 8.3 was used to import .dbf files and merge newly created attribute fields to the GIS soil coverage.
Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
Types: Citation;
Tags: 7.5 x 7.5 minute,
7.5 x 7.5 minute,
Carter County,
Combined Vector,
Combined Vector,
Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
Types: Citation;
Tags: 7.5 x 7.5 minute,
7.5 x 7.5 minute,
Big Horn County,
Combined Vector,
Combined Vector,
USGS Topo Map Vector Data (Vector) 4113 Black Gulch, Montana 20200721 for 7.5 x 7.5 minute Shapefile
Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
Types: Citation;
Tags: 7.5 x 7.5 minute,
7.5 x 7.5 minute,
Big Horn County,
Combined Vector,
Combined Vector,
Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
Types: Citation;
Tags: 7.5 x 7.5 minute,
7.5 x 7.5 minute,
Big Horn County,
Combined Vector,
Combined Vector,
This map layer consists of federally owned or administered lands of the United States, Puerto Rico, and the U.S. Virgin Islands. For the most part, only areas of 320 acres or more are included; some smaller areas deemed to be important or significant are also included. There may be private inholdings within the boundaries of Federal lands in this map layer. Some established Federal lands which are larger than 320 acres are not included in this map layer, because their boundaries were not available from the owning or administering agency.
Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
Types: Citation;
Tags: 7.5 x 7.5 minute,
7.5 x 7.5 minute,
Carbon County,
Combined Vector,
Combined Vector,
A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Arizona,
California,
Colorado,
Earthquake,
Hazard,
Density of all roads within a 5-km radius developed using a circular focal moving window analysis.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Colorado,
Idaho,
Montana,
United States,
Utah,
Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
Types: Citation;
Tags: 7.5 x 7.5 minute,
7.5 x 7.5 minute,
Bear Lake County,
Caribou County,
Combined Vector,
All roads in the western United States from the 2000 US Census Bureau 1:100,000 scale TIGER/line files.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arizona,
California,
Census 2000,
Colorado,
Idaho,
Proportion of all sagebrush species land cover within a 1-km radius developed using a circular focal moving window analysis.
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Artemisia spp.,
Colorado,
Idaho,
Montana,
United States,
Proportion of salt desert shrub land cover within a 1-km radius developed using a circular focal moving window analysis.
These vector contour lines are derived from the 3D Elevation Program using automated and semi-automated processes. They were created to support 1:24,000-scale CONUS and Hawaii, 1:25,000-scale Alaska, and 1:20,000-scale Puerto Rico / US Virgin Island topographic map products, but are also published in this GIS vector format. Contour intervals are assigned by 7.5-minute quadrangle, so this vector dataset is not visually seamless across quadrangle boundaries. The vector lines have elevation attributes (in feet above mean sea level on NAVD88), but this dataset does not carry line symbols or annotation.
Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
Layers of geospatial data include contours, boundaries, land cover, hydrography, roads, transportation, geographic names, structures, and other selected map features.
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