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: 1.2-5
Depends: R (≥ 3.0.0), maptools (≥ 0.5-2), robustbase, sp
Suggests: mvoutlier, RColorBrewer, gstat
Published: 2015-02-01
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: no
Citation: GWmodel citation info
In views: Spatial
CRAN checks: GWmodel results

Downloads:

Reference manual: GWmodel.pdf
Package source: GWmodel_1.2-5.tar.gz
Windows binaries: r-devel: GWmodel_1.2-5.zip, r-release: GWmodel_1.2-5.zip, r-oldrel: GWmodel_1.2-5.zip
OS X Snow Leopard binaries: r-oldrel: GWmodel_1.2-5.tgz
OS X Mavericks binaries: r-release: GWmodel_1.2-5.tgz
Old sources: GWmodel archive