Geographically-Weighted Models

In GWmodel, we introduce techniques from a particular branch of spatial statistics,termed geographically-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 localised calibration provides a better description. GWmodel includes functions to calibrate: GW summary statistics, GW principal components analysis, GW discriminant analysis and various forms of GW regression; some of which are provided in basic and robust (outlier resistant) forms.


Reference manual

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2.0-8 by Binbin Lu, 3 days ago

Browse source code at

Authors: Binbin Lu[aut] , Paul Harris[aut] , Martin Charlton[aut] , Chris Brunsdon[aut] , Tomoki Nakaya[aut] , Isabella Gollini[ctb]

Documentation:   PDF Manual  

Task views: Analysis of Spatial Data

GPL (>= 2) license

Imports methods, grDevices, stats, graphics, spacetime

Depends on maptools, robustbase, sp, Rcpp, spdep

Suggests mvoutlier, RColorBrewer, gstat

Linking to Rcpp, RcppArmadillo

See at CRAN