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spgwr: Geographically Weighted Regression

Functions for computing geographically weighted regressions are provided, based on work by Chris Brunsdon, Martin Charlton and Stewart Fotheringham.

Version:0.6-37
Depends:R (≥ 2.14),sp (≥ 0.8-3),spData (≥ 2.3.1)
Imports:stats, methods
Suggests:spdep, parallel,sf,knitr,rmarkdown,tinytest
Published:2024-06-10
DOI:10.32614/CRAN.package.spgwr
Author:Roger BivandORCID iD [cre, aut], Danlin YuORCID iD [aut], Tomoki Nakaya [ctb], Miquel-Angel Garcia-Lopez [ctb]
Maintainer:Roger Bivand <Roger.Bivand at nhh.no>
BugReports:https://github.com/rsbivand/spgwr/issues
License:GPL-2 |GPL-3 [expanded from: GPL (≥ 2)]
URL:https://github.com/rsbivand/spgwr/,https://rsbivand.github.io/spgwr/
NeedsCompilation:yes
Materials:NEWS,ChangeLog
CRAN checks:spgwr results

Documentation:

Reference manual:spgwr.html ,spgwr.pdf
Vignettes:Geographically Weighted Regression (source,R code)

Downloads:

Package source: spgwr_0.6-37.tar.gz
Windows binaries: r-devel:spgwr_0.6-37.zip, r-release:spgwr_0.6-37.zip, r-oldrel:spgwr_0.6-37.zip
macOS binaries: r-release (arm64):spgwr_0.6-37.tgz, r-oldrel (arm64):spgwr_0.6-37.tgz, r-release (x86_64):spgwr_0.6-37.tgz, r-oldrel (x86_64):spgwr_0.6-37.tgz
Old sources: spgwr archive

Reverse dependencies:

Reverse imports:GWLelast,mgwrhw

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=spgwrto link to this page.


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