This repository contains the code for case studies presented in Nowosad J., Stepinski T.F., Iwicki M. A Method for Universal Supercells-Based Regionalization (Preliminary Results). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (2022).

You need to install several R packages to reproduce the following code examples. You can find the packages' installation code in R/package-installation.R.

The code examples are based on the Copernicus Global Land Service: Land Cover 100m data for the year 2019. The study area is about 4200 km² located in the eastern Netherlands. The input data is located in raw-data/all_ned.tif. The data can also be found on https://lcviewer.vito.be/2015.

1. PCA base map - R/raster_pca_rgb.R
2. Superpixels combined with the kmeans algorithm - R/superpixels_and_kmeans.R
3. Superpixels combined with the SKATER algorithm - R/superpixels_and_skater.R
4. Comparison on the two presented workflow - R/multi_calculation.R