Geographically Weighted Regression

Geographically weighted regression (GWR) is a local form of spatial analysis introduced in 1996 in the geographical literature drawing from statistical approaches for curve-fitting and smoothing applications. The method works based on the simple yet powerful idea of estimating local models using subsets of observations centered on a focal point. Since its introduction, GWR rapidly captured the attention of many in geography and other fields for …