Gollini, Isabella and Lu, Binbin and Charlton, Martin and Brunsdon, Chris and Harris, Paul
(2015)
GWmodel: An R Package for Exploring Spatial
Heterogeneity Using Geographically Weighted
Models.
Journal of Statistical Software, 63.
pp. 1-50.
ISSN 1548-7660
Abstract
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.
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