Package: GD 10.9

Wenbo Lv

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 Lv [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 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:

geographical-detectorspatial-stratified-heterogeneity

7.49 score 13 stars 51 scripts 2.3k downloads 55 mentions 10 exports 11 dependencies

Last updated 3 months agofrom:4ad12d39b9. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 18 2025
R-4.5-winOKFeb 18 2025
R-4.5-macOKFeb 18 2025
R-4.5-linuxOKFeb 18 2025
R-4.4-winOKFeb 18 2025
R-4.4-macOKFeb 18 2025
R-4.3-winOKFeb 18 2025
R-4.3-macOKFeb 18 2025

Exports:discgdgdecogdinteractgdmgdriskoptidiscriskmeansesuv2m

Dependencies:apeBAMMtoolsbitopscaToolsdigestgplotsgtoolsKernSmoothlatticenlmeRcpp

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

Rendered fromGD.Rmdusingknitr::rmarkdownon Feb 18 2025.

Last update: 2024-10-17
Started: 2024-10-17