Package: GWmodel
Type: Package
Version: 2.0-8
Date: 2019-02-13
Title: Geographically-Weighted Models
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
Description: 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.
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut], Chris Brunsdon[aut], Tomoki Nakaya[aut], Isabella Gollini[ctb]
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>
License: GPL (>= 2)
Repository: CRAN
URL: http://gwr.nuim.ie/
NeedsCompilation: yes
Packaged: 2019-02-13 15:27:29 UTC; Administrator
Date/Publication: 2019-02-15 10:10:08 UTC
Built: R 3.4.4; x86_64-w64-mingw32; 2019-04-25 21:17:48 UTC; windows
Archs: i386, x64
