GWmodel: 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.

Version: 2.0-6
Depends: R (≥ 3.0.0), maptools (≥ 0.5-2), robustbase, sp, Rcpp, spdep
Imports: methods, grDevices, stats, graphics, spacetime
LinkingTo: Rcpp, RcppArmadillo
Suggests: mvoutlier, RColorBrewer, gstat
Published: 2018-08-20
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Isabella Gollini[ctb]
Maintainer: Binbin Lu <binbinlu at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: GWmodel citation info
In views: Spatial
CRAN checks: GWmodel results


Reference manual: GWmodel.pdf
Package source: GWmodel_2.0-6.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: GWmodel_2.0-6.tgz, r-oldrel: GWmodel_2.0-6.tgz
Old sources: GWmodel archive


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