Package: GD 10.10

Wenbo Lyu

GD: Geographical Detectors for Assessing Spatial Factors

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.

Authors:Yongze Song [aut, cph], Wenbo Lyu [aut, cre]

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NEWS

# Install 'GD' in R:
install.packages('GD', repos = c('https://ausgis.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ausgis/gd/issues

Pkgdown/docs site:https://ausgis.github.io

Datasets:
  • h1n1_100 - Spatial datasets of H1N1 flu incidences
  • h1n1_150 - Spatial datasets of H1N1 flu incidences
  • h1n1_50 - Spatial datasets of H1N1 flu incidences
  • ndvi_10 - Spatial datasets of vegetation index changes.
  • ndvi_20 - Spatial datasets of vegetation index changes.
  • ndvi_30 - Spatial datasets of vegetation index changes.
  • ndvi_40 - Spatial datasets of vegetation index changes.
  • ndvi_5 - Spatial datasets of vegetation index changes.
  • ndvi_50 - Spatial datasets of vegetation index changes.

On CRAN:

Conda:

geographical-detectorspatial-stratified-heterogeneity

6.66 score 16 stars 58 scripts 3.3k downloads 10 exports 11 dependencies

Last updated from:b3b895d3e0. Checks:8 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK127
source / vignettesOK190
linux-release-x86_64OK129
macos-devel-arm64OK84
macos-release-arm64OK85
windows-develOK157
windows-releaseOK89
wasm-releaseOK124

Exports:discgdgdecogdinteractgdmgdriskoptidiscriskmeansesuv2m

Dependencies:apeBAMMtoolsbitopscaToolsdigestgplotsgtoolsKernSmoothlatticenlmeRcpp

Optimal Parameters-based Geographical Detectors (OPGD) Model for Spatial Heterogeneity Analysis and Factor Exploration

Rendered fromGD.Rmdusingknitr::rmarkdownon Mar 29 2026.

Last update: 2026-02-27
Started: 2024-10-17