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Code supplement for the article Advancing regional water quality modelling: Integrating spatial machine learning with large-scale catchment data

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Code supplement: Advancing regional water quality modelling: Integrating spatial machine learning with large-scale catchment data

DOI

Folders and files:

  • environment.yml: Python conda/micromamba Environment configuration file.
  • ml_modelling: scripts used to train Random Forest models and assess their accuracy.

The input and output data of this study are available at

DOI

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Code supplement for the article Advancing regional water quality modelling: Integrating spatial machine learning with large-scale catchment data

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