Applying Geographically Weighted Regression

re_grw_1…from ArcUser

“Underpinning geographic thinking is the assumption that spatial phenomena will vary across a landscape. Regression-based models largely ignore this assumption, much to the detriment of spatially varying relationships.

“However, ArcGIS 9.3 provides an exciting tool that generates spatially calibrated regression models. Known as Geographically Weighted Regression (GWR), this tool generates a separate regression equation for every feature analyzed in a sample dataset as a means to address spatial variation. (The GWR tool requires an ArcInfo, ArcGIS Spatial Analyst, or ArcGIS Geostatistical Analyst license.)”

One thought on “Applying Geographically Weighted Regression

  1. Pingback: Spatial Statistics and Geostatistics Resources « GIS and Science

Comments are closed.