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GWmodel
View on CRAN: Click
here
Download and install GWmodel package within the R console
Install from CRAN:
install.packages("GWmodel")
Install from Github:
library("remotes")
install_github("cran/GWmodel")
Install by package version:
library("remotes")
install_version("GWmodel", "2.4-1")
Attach the package and use:
library("GWmodel")
Maintained by
Binbin Lu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.GWmodel . GWmodel citation info . GWmodel results . GWmodel.pdf . GWmodel_2.4-1.tar.gz . GWmodel_2.4-1.zip . GWmodel_2.4-1.zip . GWmodel_2.4-1.zip . GWmodel_2.4-1.tgz . GWmodel_2.4-1.tgz . GWmodel_2.4-1.tgz . GWmodel_2.4-1.tgz . GWmodel_2.4-1.tgz . GWmodel_2.4-1.tgz . GWmodel archive . https://CRAN.R-project.org/package=GWmodel .
First Published: 2013-06-02
Latest Update: 2024-01-31
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. 'GWmodel' includes functions to calibrate: GW summary statistics (Brunsdon et al., 2002), GW principal components analysis (Harris et al., 2011), GW discriminant analysis (Brunsdon et al., 2007) and various forms of GW regression (Brunsdon et al., 1996); some of which are provided in basic and robust (outlier resistant) forms.
How to cite:
Binbin Lu (2013). GWmodel: Geographically-Weighted Models. R package version 2.4-1, https://cran.r-project.org/web/packages/GWmodel. Accessed 20 Feb. 2025.
Previous versions and publish date:
1.1-9 (2013-06-02 16:59), 1.2-1 (2013-08-15 18:26), 1.2-2 (2013-12-16 17:01), 1.2-3 (2014-05-12 07:50), 1.2-5 (2015-02-01 17:38), 2.0-1 (2016-11-30 14:55), 2.0-2 (2017-03-16 08:43), 2.0-3 (2017-03-28 12:34), 2.0-4 (2017-05-21 09:08), 2.0-5 (2017-12-20 05:25), 2.0-6 (2018-08-20 10:20), 2.0-7 (2019-02-02 08:43), 2.0-8 (2019-02-15 11:10), 2.0-9 (2019-04-29 15:20), 2.1-1 (2019-07-03 11:10), 2.1-2 (2019-07-08 17:50), 2.1-3 (2019-07-15 10:10), 2.1-4 (2020-05-09 07:40), 2.2-0 (2020-10-30 10:50), 2.2-1 (2020-11-10 07:20), 2.2-2 (2020-11-22 23:30), 2.2-3 (2021-02-07 13:00), 2.2-4 (2021-02-17 12:50), 2.2-5 (2021-04-12 16:40), 2.2-6 (2021-05-22 08:52), 2.2-7 (2021-09-07 15:20), 2.2-8 (2021-10-09 18:30), 2.2-9 (2022-06-17 09:00), 2.3-1 (2023-07-05 14:13), 2.3-2 (2024-01-31 17:30), 2.3-3 (2024-07-29 14:40)
Other packages that cited GWmodel R package
View GWmodel citation profile
Other R packages that GWmodel depends,
imports, suggests or enhances
Complete documentation for GWmodel
Functions, R codes and Examples using
the GWmodel R package
Some associated functions: EWHP . GWmodel-package . Georgia . LondonHP . bw.ggwr . bw.gtwr . bw.gwr . bw.gwss.average . ggwr.basic . ggwr.cv.contrib . ggwr.cv . gtwr . gw.dist . gw.weight . gwpca.cv.contrib . gwpca.cv . gwr.collin.diagno . gwr.cv.contrib . gwr.cv . gwr.lcr.cv.contrib . gwr.lcr.cv . gwr.model.selection . gwr.model.sort . gwr.montecarlo . gwr.predict . gwr.robust . gwr.write . gwss.montecarlo . st.dist .
Some associated R codes: RcppExports.R . bw.gtwr.R . bw.gwss.average.R . gtwr.R . gw.average.cv.R . gw.average.cv.contrib.R . gwr.multiscale.R . mink.pvals.R . Full GWmodel package functions and examples
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