Predictor, null model, response variable, and habitat suitability prediction rasters for a golden eagle hierarchical Bayesian synoptic model used for habitat selection in San Diego County, California. Derived from golden eagle data collected from November 2014-February 2017

This data release includes three types of data used in habitat modeling, and predictions from the habitat models. (1) Predictor rasters for proportion urban development within 1-km radius, proportion exurban within 1-km radius, vector ruggedness measure (VRM) within 500-m radius, topographic position index (TPI) within 500-m radius. (2) Twenty-nine null models for space use for 29 different golden eagles. (3) Twenty-nine response variable rasters of eagle locations per cell for 29 golden eagles. (4) A raster for predicted population-level probability of habitat selection and contours for predicted population-level probability of habitat selection and contours. These data support the following publication: Tracey,...

Tags: Aquila chrysaetos, California, Ecology, Golden eagle, Information Sciences, All tags... San Diego, USGS Science Data Catalog (SDC), Wildlife Biology, animal tracking, biota, biotelemetry, boundaries, ecological processes, ecology, environment, geography, habitat alteration, habitat selection, habitats, hierarchical Bayesian modeling, land use and land cover, land use change, synoptic model, telemetry, urban development, Fewer tags