Gdverse
Analysis of Spatial Stratified Heterogeneity
Install / Use
/learn @stscl/GdverseREADME
gdverse <a href="https://stscl.github.io/gdverse/"><img src="man/figures/logo.png" align="right" height="139" alt="gdverse website" /></a>
<!-- badges: start --> <!-- badges: end -->Analysis of Spatial Stratified Heterogeneity
Overview
gdverse consolidates cutting-edge SSH methodologies into a unified toolkit, redefining spatial association measurement as the evolutionary successor to geodetector and GD in the R ecosystem.
Current models and functions provided by gdverse are:
| Model | Function | Support |
|----|----|----|
| GD | gd() | ✔️ |
| OPGD | opgd() | ✔️ |
| GOZH | gozh() | ✔️ |
| LESH | lesh() | ✔️ |
| SPADE | spade() | ✔️ |
| IDSA | idsa() | ✔️ |
| RGD | rgd() | ✔️ |
| RID | rid() | ✔️ |
| SRSGD | srsgd() | ✔️ |
Installation
- Install from CRAN with:
install.packages("gdverse", dep = TRUE)
- Install development binary version from R-universe with:
install.packages('gdverse',
repos = c("https://stscl.r-universe.dev",
"https://cloud.r-project.org"),
dep = TRUE)
- Install development source version from GitHub with:
# install.packages("devtools")
devtools::install_github("stscl/gdverse",
build_vignettes = TRUE,
dep = TRUE)
✨ Please ensure that Rcpp is properly installed and the appropriate C++ compilation environment is configured in advance if you want to install gdverse from github.
✨ The gdverse package supports the use of robust discretization for the robust geographical detector and robust interaction detector. For details on using them, please refer to https://stscl.github.io/gdverse/articles/rgdrid.html.
Example
library(gdverse)
data("ndvi")
ndvi
## # A tibble: 713 × 7
## NDVIchange Climatezone Mining Tempchange Precipitation GDP Popdensity
## <dbl> <chr> <fct> <dbl> <dbl> <dbl> <dbl>
## 1 0.116 Bwk low 0.256 237. 12.6 1.45
## 2 0.0178 Bwk low 0.273 214. 2.69 0.801
## 3 0.138 Bsk low 0.302 449. 20.1 11.5
## 4 0.00439 Bwk low 0.383 213. 0 0.0462
## 5 0.00316 Bwk low 0.357 205. 0 0.0748
## 6 0.00838 Bwk low 0.338 201. 0 0.549
## 7 0.0335 Bwk low 0.296 210. 11.9 1.63
## 8 0.0387 Bwk low 0.230 236. 30.2 4.99
## 9 0.0882 Bsk low 0.214 342. 241 20.0
## 10 0.0690 Bsk low 0.245 379. 42.0 7.50
## # ℹ 703 more rows
OPGD model
discvar = names(ndvi)[-1:-3]
discvar
## [1] "Tempchange" "Precipitation" "GDP" "Popdensity"
ndvi_opgd = opgd(NDVIchange ~ ., data = ndvi,
discvar = discvar, cores = 6)
ndvi_opgd
## *** Optimal Parameters-based Geographical Detector
## Factor Detector
##
## | variable | Q-statistic | P-value |
## |:-------------:|:-----------:|:--------:|
## | Precipitation | 0.8693505 | 2.58e-10 |
## | Climatezone | 0.8218335 | 7.34e-10 |
## | Tempchange | 0.3330256 | 1.89e-10 |
## | Popdensity | 0.1990773 | 6.60e-11 |
## | Mining | 0.1411154 | 6.73e-10 |
## | GDP | 0.1004568 | 3.07e-10 |
GOZH model
g = gozh(NDVIchange ~ ., data = ndvi)
g
## *** Geographically Optimal Zones-based Heterogeneity Model
## Factor Detector
##
## | variable | Q-statistic | P-value |
## |:-------------:|:-----------:|:--------:|
## | Precipitation | 0.87255056 | 4.52e-10 |
## | Climatezone | 0.82129550 | 2.50e-10 |
## | Tempchange | 0.33324945 | 1.12e-10 |
## | Popdensity | 0.22321863 | 3.00e-10 |
## | Mining | 0.13982859 | 6.00e-11 |
## | GDP | 0.09170153 | 3.96e-10 |
CITATION
Please cite gdverse as:
Lv, W., Lei, Y., Liu, F., Yan, J., Song, Y. and Zhao, W. (2025), gdverse: An R Package for Spatial Stratified Heterogeneity Family. Transactions in GIS, 29(2). https://doi.org/10.1111/tgis.70032
A BibTeX entry for LaTeX users is:
@article{lyu2025gdverse,
title={{gdverse}: An {R} Package for Spatial Stratified Heterogeneity Family},
volume={29},
ISSN={1467-9671},
DOI={10.1111/tgis.70032},
number={2},
journal={Transactions in GIS},
publisher={Wiley},
author={Lv, Wenbo and Lei, Yangyang and Liu, Fangmei and Yan, Jianwu and Song, Yongze and Zhao, Wufan},
year={2025},
month={mar}
}
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