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GD
View on CRAN: Click
here
Download and install GD package within the R console
Install from CRAN:
install.packages("GD")
Install from Github:
library("remotes")
install_github("cran/GD")
Install by package version:
library("remotes")
install_version("GD", "10.3")
Attach the package and use:
library("GD")
Maintained by
Yongze Song
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-03
Latest Update: 2023-08-21
Description:
Geographical detectors for measuring spatial stratified heterogeneity, as described in Jinfeng Wang (2010) <doi:10.1080/13658810802443457> and Jinfeng Wang (2016) <doi:10.1016/j.ecolind.2016.02.052>. Includes the optimal discretization of continuous data, four primary functions of geographical detectors, comparison of size effects of spatial unit and the visualizations of results. To use the package and to refer the descriptions of the package, methods and case datasets, please cite Yongze Song (2020) <doi:10.1080/15481603.2020.1760434>. The model has been applied in factor exploration of road performance and multi-scale spatial segmentation for network data, as described in Yongze Song (2018) <doi:10.3390/rs10111696> and Yongze Song (2020) <doi:10.1109/TITS.2020.3001193>, respectively.
How to cite:
Yongze Song (2018). GD: Geographical Detectors for Assessing Spatial Factors. R package version 10.3, https://cran.r-project.org/web/packages/GD
Previous versions and publish date:
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Other R packages that GD depends,
imports, suggests or enhances
Functions, R codes and Examples using
the GD R package
Some associated functions: H1N1 . NDVI . disc . gd . gdeco . gdinteract . gdm . gdrisk . optidisc . riskmean . sesu . v2m .
Some associated R codes: data.R . disc.R . gd.R . gdeco.R . gdinteract.R . gdm.R . gdrisk.R . optidisc.R . riskmean.R . sesu.R . v2m.R . zzz.R . Full GD package functions and examples
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