Geographically-Weighted Models R package GWmodel version 2.4-1 CRAN Task View: Spatial (https://CRAN.R-project.org/view=Spatial) 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. Software Depends: R (>= 3.0.0), robustbase,sp (> 1.4-0), Rcpp (>= 1.0.12) Imports: methods, sf, grDevices, spacetime,spdep,spatialreg,FNN LinkingTo: Rcpp, RcppArmadillo, RcppEigen Suggests: mvoutlier, RColorBrewer, gstat,spData Binbin Lu <binbinlu@whu.edu.cn> Comprehensive R Archive Network (CRAN) Binbin Lu [aut, cre], Paul Harris [aut], Martin Charlton [aut], Chris Brunsdon [aut], Tomoki Nakaya [aut], Daisuke Murakami [ctb], Yigong Hu [ctb], Fiona H Evans [ctb], Hjalmar H<c3><b6>glund [ctb] GPL (>= 2) 2024-09-07 application/tgz https://CRAN.R-project.org/package=GWmodel doi:10.32614/CRAN.package.GWmodel