GWmodel: Geographically-Weighted Models

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 (Brunsdon et al. 2002)<doi:10.1016/s0198-9715(01)00009-6>, GW principal components analysis (Harris et al. 2011)<doi:10.1080/13658816.2011.554838>, GW discriminant analysis (Brunsdon et al. 2007)<doi:10.1111/j.1538-4632.2007.00709.x> and various forms of GW regression (Brunsdon et al. 1996)<doi:10.1111/j.1538-4632.1996.tb00936.x>; some of which are provided in basic and robust (outlier resistant) forms.

Version: 2.1-3
Depends: R (≥ 3.0.0), maptools (≥ 0.5-2), robustbase, sp, Rcpp, spatialreg
Imports: methods, grDevices, stats, graphics, spacetime, spdep, FNN
LinkingTo: Rcpp, RcppArmadillo
Suggests: mvoutlier, RColorBrewer, gstat, spData
Published: 2019-07-15
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Daisuke Murakami[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_2.1-3.tar.gz
Windows binaries: r-devel:, r-devel-gcc8:, r-release:, r-oldrel:
OS X binaries: r-release: GWmodel_2.1-3.tgz, r-oldrel: GWmodel_2.1-3.tgz
Old sources: GWmodel archive


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