Data used for GWR model and descriptions of variables

This dataset contains the descriptions of variables used in a Geographically Weighted Regression (GWR) model to model spatial relationships between forest productivity with climate, management, topography, and soil. First, the data for the GWR model were collected from different sources such as USGS, SSURGO, PRISM, and ED2-derived output. The GWR4 software was then used to estimate the local coefficients of landscapes across study areas.