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DESCRIPTION
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Package: GWmodel3
Type: Package
Title: Modelling Spatial Data with Geographically Weighted Models
Version: 3.0-0
Date: 2022-11-19
Authors@R: c(
person("Binbin", "Lu", role = c("aut", "cre"), email = "[email protected]", comment = c(ORCID = "0000-0001-7847-7560")),
person("Yigong", "Hu", role = c("aut"), email = "[email protected]", comment = c(ORCID = "0000-0002-9553-6275")),
person("Haotian", "Zhang", role = c("ctb")),
person("Guangyu", "Ou", role = c("ctb")),
person("Paul", "Harris", role = c("ctb")),
person("Martin", "Charlton", role = c("ctb")),
person("Chris", "Brunsdon", role = c("ctb")),
person("Tomoki", "Nakaya", role = c("ctb")),
person("Daisuke", "Murakami", role = c("ctb")),
person("Isabella", "Gollini", role = ("ctb")),
person("Fiona H", "Evans", role = ("ctb")))
Maintainer: Binbin Lu <[email protected]>
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),
sf
Imports:
Rcpp (>= 1.0.8),
methods
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
SystemRequirements: GNU make
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.3
Suggests:
testthat (>= 3.0.0),
knitr,
rmarkdown
Config/testthat/edition: 3
VignetteBuilder: knitr