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spatial-ml-soc-2024

Code supplement: Spatial autocorrelation in machine learning for modelling soil organic carbon

DOI

Folders and files:

  • data: reference to the input/source datasets and the conda environment yaml
  • model_test: fresh training and (cross-)validation, numbers may slightly vary
  • predict_full: scripts that were used to predict to the of Estonia as 10m raster

Errata:

In the manuscript the term RFSI (Random Forest Spatial Interpolation) is used, in the scripts and data the RFSI-associated model is named KNN (K-Nearest-Neighbours)