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: 2.0-3
Depends: R (≥ 3.0.0), maptools (≥ 0.5-2), robustbase, sp, Rcpp
Imports: methods, grDevices, stats, graphics
LinkingTo: Rcpp, RcppArmadillo
Suggests: mvoutlier, RColorBrewer, gstat
Published: 2017-03-28
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Isabella Gollini[ctb]
Maintainer: Binbin Lu <binbinlu at whu.edu.cn>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: http://gwr.nuim.ie/
NeedsCompilation: yes
Citation: GWmodel citation info
In views: Spatial
CRAN checks: GWmodel results

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Reference manual: GWmodel.pdf
Package source: GWmodel_2.0-3.tar.gz
Windows binaries: r-devel: GWmodel_2.0-3.zip, r-release: GWmodel_2.0-3.zip, r-oldrel: GWmodel_2.0-3.zip
OS X El Capitan binaries: r-release: GWmodel_2.0-3.tgz
OS X Mavericks binaries: r-oldrel: GWmodel_2.0-3.tgz
Old sources: GWmodel archive

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