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GD

:exclamation: This is a read-only mirror of the CRAN R package repository. GD — Geographical Detectors for Assessing Spatial Factors. Homepage: https://github.com/ausgis/GD, https://ausgis.github.io/GD/ Report bugs for this package: https://github.com/ausgis/GD/issues

Install / Use

/learn @cran/GD
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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GD <a href="https://ausgis.github.io/GD/"><img src="man/figures/logo.png" align="right" height="139" alt="GD website" /></a>

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Geographical Detectors for Assessing Spatial Factors

Please cite GD as:

Song, Y., Wang, J., Ge, Y. & Xu, C. (2020) An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: Cases with different types of spatial data, GIScience & Remote Sensing,57(5), 593-610. https://doi.org/10.1080/15481603.2020.1760434.

A BibTeX entry for LaTeX users is:

@article{Song2020opgd,
author = {Yongze Song, Jinfeng Wang, Yong Ge and Chengdong Xu},
title = {An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with different types of spatial data},
journal = {GIScience \& Remote Sensing},
volume = {57},
number = {5},
pages = {593--610},
year = {2020},
month = {05},
publisher = {Taylor \& Francis},
doi = {10.1080/15481603.2020.1760434},
URL = {https://doi.org/10.1080/15481603.2020.1760434}
}

Installation

  • Install from CRAN with:
install.packages("GD", dep = TRUE)
  • Install development binary version from R-universe with:
install.packages("GD",
                 repos = c("https://ausgis.r-universe.dev",
                           "https://cloud.r-project.org"), 
                 dep = TRUE)
  • Install development source version from GitHub with:
# install.packages("devtools")
devtools::install_github("ausgis/GD",build_vignettes = TRUE,dep = TRUE)

Related Skills

View on GitHub
GitHub Stars5
CategoryDevelopment
Updated1mo ago
Forks0

Languages

R

Security Score

70/100

Audited on Feb 27, 2026

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