Package: GWmodel3
Type: Package
Title: Modelling Spatial Data with Geographically Weighted Models
Version: 3.0-0
Date: 2022-11-19
Author: Binbin Lu[aut], Paul Harris[aut], Martin Charlton[aut],
    Chris Brunsdon[aut], Tomoki Nakaya[aut], Daisuke Murakami[aut],
    Isabella Gollini[ctb], Yigong Hu[ctb], Fiona H Evans[ctb]
Maintainer: Binbin Lu <binbinlu@whu.edu.cn>
Description: 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. 'GWmodel3' includes:
    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.
License: GPL (>= 2)
URL: https://github.com/GWmodel-Lab/GWmodel3
BugReports: https://github.com/GWmodel-Lab/GWmodel3/issues
Depends:
    R (>= 3.5.0),
Imports:
    Rcpp (>= 1.0.8),
    sf,
    methods
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
SystemRequirements: GNU make
RoxygenNote: 7.2.3
Suggests: 
    testthat (>= 3.0.0),
    knitr,
    rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr