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.

Version: 1.9
Depends: R (≥ 3.4.0)
Imports: stats, utils, graphics, badger
Suggests: knitr, rmarkdown
Published: 2020-06-29
Author: Yongze Song ORCID iD [aut, cre]
Maintainer: Yongze Song <yongze.song at postgrad.curtin.edu.au>
License: GPL-2
NeedsCompilation: no
Citation: GD citation info
CRAN checks: GD results

Downloads:

Reference manual: GD.pdf
Vignettes: Optimal Parameters-based Geographical Detectors for Assessing Spatial Factors
Package source: GD_1.9.tar.gz
Windows binaries: r-devel: GD_1.9.zip, r-release: GD_1.9.zip, r-oldrel: GD_1.9.zip
macOS binaries: r-release: GD_1.8.tgz, r-oldrel: GD_1.9.tgz
Old sources: GD archive

Reverse dependencies:

Reverse imports: SK

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