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: | 2.0-5 |
Depends: | R (≥ 3.0.0), maptools (≥ 0.5-2), robustbase, sp, Rcpp, spdep |
Imports: | methods, grDevices, stats, graphics |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | mvoutlier, RColorBrewer, gstat |
Published: | 2017-12-20 |
Author: | Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Isabella Gollini[ctb] |
Maintainer: | Binbin Lu <binbinlu at 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 |
Reference manual: | GWmodel.pdf |
Package source: | GWmodel_2.0-5.tar.gz |
Windows binaries: | r-devel: GWmodel_2.0-5.zip, r-release: GWmodel_2.0-5.zip, r-oldrel: GWmodel_2.0-5.zip |
OS X El Capitan binaries: | r-release: GWmodel_2.0-5.tgz |
OS X Mavericks binaries: | r-oldrel: GWmodel_2.0-5.tgz |
Old sources: | GWmodel archive |
Please use the canonical form https://CRAN.R-project.org/package=GWmodel to link to this page.