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:
GD_10.9.tar.gz
GD_10.9.zip(r-4.5)GD_10.9.zip(r-4.4)GD_10.9.zip(r-4.3)
GD_10.9.tgz(r-4.4-any)GD_10.9.tgz(r-4.3-any)
GD_10.9.tar.gz(r-4.5-noble)GD_10.9.tar.gz(r-4.4-noble)
GD_10.9.tgz(r-4.4-emscripten)GD_10.9.tgz(r-4.3-emscripten)
GD.pdf |GD.html✨
GD/json (API)
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
- 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.
geographical-detectorspatial-stratified-heterogeneity
Last updated 2 hours agofrom:4ad12d39b9. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-win | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
| R-4.4-win | OK | Nov 20 2024 |
| R-4.4-mac | OK | Nov 20 2024 |
| R-4.3-win | OK | Nov 20 2024 |
| R-4.3-mac | OK | Nov 20 2024 |
Exports:discgdgdecogdinteractgdmgdriskoptidiscriskmeansesuv2m
Dependencies:apeBAMMtoolsbitopscaToolsdigestgplotsgtoolsKernSmoothlatticenlmeRcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generates discretization parameters for continuous data. | disc |
| Geographical detectors: factor detector. | gd plot.gd print.gd |
| Geographical detectors: ecological detector. | gdeco plot.gdeco print.gdeco |
| Geographical detectors: interaction detector. | gdinteract plot.gdinteract print.gdinteract |
| Geographical detectors: a one-step function. | gdm plot.gdm print.gdm |
| Geographical detectors: risk detector. | gdrisk plot.gdrisk print.gdrisk |
| Spatial datasets of H1N1 flu incidences | H1N1 h1n1_100 h1n1_150 h1n1_50 |
| Spatial datasets of vegetation index changes. | NDVI ndvi_10 ndvi_20 ndvi_30 ndvi_40 ndvi_5 ndvi_50 |
| Optimal discretization for continuous variables and visualization. | optidisc plot.optidisc print.optidisc |
| Geographical detectors: risk means in risk detector. | plot.riskmean print.riskmean riskmean |
| Comparison of size effects of spatial units. | sesu |
| Converts a vector to a lower triangular matrix. | v2m |
