Spatial statistics is a growing discipline providing important analytical techniques in a wide range of disciplines in the natural and social sciences. In the R package GWmodel, we present techniques from a particular branch of spatial statistics, termed geographi- cally weighted (GW) models. GW models suit situations when data are not described well by some global model, but where there are spatial regions where a suitably localized calibration provides a better description. The approach uses a moving window weighting technique, where localized models are found at target locations. Outputs are mapped to provide a useful exploratory tool into the nature of the data spatial heterogeneity. Cur- rently, GWmodel includes functions for: GW summary statistics, GW principal compo- nents analysis, GW regression, and GW discriminant analysis; some of which are provided in basic and robust forms.