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.
Version: 2.4-1 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 Published: 2024-09-07 DOI: 10.32614/CRAN.package.GWmodel Author: 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] Maintainer: Binbin Lu <binbinlu at whu.edu.cn> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: http://gwr.nuim.ie/ NeedsCompilation: yes SystemRequirements: GNU make Citation: GWmodel citation info In views: Spatial CRAN checks: GWmodel results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=GWmodel to link to this page.
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