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(Hyperlink to Official Landing Page for Geospatial Fabric products) The first of the Geospatial Fabric datasets are being released as two discrete products, one for the GIS feature geometry and one for the set of attribute tables from which PRMS parameter files are generated. Both products are being released through a community within www.sciencebase.gov, called the National Hydrologic Modeling Framework (https://www.sciencebase.gov/catalog/folder/4f4e4773e4b07f02db47e234). There is a full FGDC-compliant metadata record associated with both of these products, including an abstract, in addition to full access to actual data. The data sets are formatted as ESRI file geodatabases, organized according to Geospatial...
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Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the mean of the predicted posterior distribution for raven occurrence was used to visualize results.
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An index of anthropogenic influences on raven populations. Raven point counts were related to landscape covariates using Bayesian hierarchical occupancy models and the means of the posterior distributions for relevant effects were used to generate the predictions.
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This U.S. Geological Survey (USGS) data release record consists of topographic data themes that cover the United States-Canada Transboundary Geospatial Fabric (TGF) domain. The 30-meter (m) raster data sets included under Topographic Derivatives are: 1) digital elevation (dem.tif) , 2) topographic wetness index (TWI, twi100X.tif) ,3) slope (rise over run, slope100X.tif), 4) aspect (asp100X.tif), and flow direction (fdr.tif). In some instances, values were multiplied by 100 and converted from double precision to integer format to reduce file sizes. All file formats are in GeoTIFF (Geographic Tagged Imaged Format).


map background search result map search result map Preliminary spatial parameters for PRMS based on the Geospatial Fabric, NLCD2001 and SSURGO Predicted probability of raven occurrence across the Great Basin, USA, 2007 – 2016 (Fig. 3) Anthropogenic influence index for raven populations in the Great Basin, 2007-2016 (Fig. 4C) Topographic derivative datasets for the United States-Canada transboundary Geospatial Fabric Predicted probability of raven occurrence across the Great Basin, USA, 2007 – 2016 (Fig. 3) Anthropogenic influence index for raven populations in the Great Basin, 2007-2016 (Fig. 4C) Topographic derivative datasets for the United States-Canada transboundary Geospatial Fabric Preliminary spatial parameters for PRMS based on the Geospatial Fabric, NLCD2001 and SSURGO