Robust Geographical Detector & Robust Interaction Detector(RGD & RID)

Set up python dependence

  1. Install miniconda

  2. Open the conda terminal and perform steps 3 to 6

  3. Create a new conda env gdverse

    conda create -n gdverse python=3.10 -y

  4. Activate this env

    conda activate gdverse

  5. Install mamba

    conda install -c conda-forge mamba -y

  6. Set up python packages

    mamba install -c conda-forge numpy joblib pandas ruptures -y

  7. Configure GDVERSE_PYTHON environment variable

    • Temporarily setting up gdverse python dependence environment using Sys.setenv() in the R console or R code like Sys.setenv(GDVERSE_PYTHON = "path/to/python/environment").

    • Or using usethis::edit_r_environ() to set long-available gdverse python dependencies environment path.

Load data and package

library(tidyverse)
library(gdverse)

data("ndvi")
names(ndvi)
## [1] "NDVIchange"    "Climatezone"   "Mining"        "Tempchange"    "Precipitation" "GDP"          
## [7] "Popdensity"

Run RGD

ndvi_rgd = rgd(NDVIchange ~ ., data = ndvi,
               discvar = names(dplyr::select(ndvi,-c(NDVIchange,Climatezone,Mining))),
               discnum = 3:8, cores = 12)
ndvi_rgd
## ***      Robust Geographical Detector    
## 
## |   variable    | Q-statistic | P-value  |
## |:-------------:|:-----------:|:--------:|
## | Precipitation |  0.8883955  | 4.77e-10 |
## |  Climatezone  |  0.8218335  | 7.34e-10 |
## |  Tempchange   |  0.3722571  | 3.22e-10 |
## |  Popdensity   |  0.2480558  | 2.10e-10 |
## |      GDP      |  0.1491878  | 3.63e-10 |
## |    Mining     |  0.1411154  | 6.73e-10 |
## 
## #### Only display the results corresponding to the maximum number of discretizations!
plot(ndvi_rgd)

Run RID

RID allows you to obtain the interactions of all possible combinations of variables. By default, Spatial Intersection are used to generate a new spatial partition of the interaction variables.

ndvi_rid = rid(NDVIchange ~ ., data = ndvi,
               discvar = names(dplyr::select(ndvi,-c(NDVIchange,Climatezone,Mining))),
               discnum = 8, cores = 12)
ndvi_rid
## ***    Robust Interaction Detector    
## 
## |   variable1   |   variable2   | Interaction  |
## |:-------------:|:-------------:|:------------:|
## |  Climatezone  |    Mining     | Enhance, bi- |
## |  Climatezone  |  Tempchange   | Enhance, bi- |
## |  Climatezone  | Precipitation | Enhance, bi- |
## |  Climatezone  |      GDP      | Enhance, bi- |
## |  Climatezone  |  Popdensity   | Enhance, bi- |
## |    Mining     |  Tempchange   | Enhance, bi- |
## |    Mining     | Precipitation | Enhance, bi- |
## |    Mining     |      GDP      | Enhance, bi- |
## |    Mining     |  Popdensity   | Enhance, bi- |
## |  Tempchange   | Precipitation | Enhance, bi- |
## |  Tempchange   |      GDP      | Enhance, bi- |
## |  Tempchange   |  Popdensity   | Enhance, bi- |
## | Precipitation |      GDP      | Enhance, bi- |
## | Precipitation |  Popdensity   | Enhance, bi- |
## |      GDP      |  Popdensity   | Enhance, bi- |
plot(ndvi_rid)