This repository provides some basic data preprocessing routines related to rainfall runoff modelling. Preprocessing functions are implemented in R and aim to prepare rainfall and discharge timeseries data as well as catchment datasets for machine learning based modelling.
The project comes with a an R Markdown file as well as with a Jupyter Notebook
that guides you through the different processing steps. Using R Markdown, required
libraries will be installed as part of the code execution. If you'd rather inspect the
preprocessing workflow using Jupyter Notebooks, the projects provides an environment.yml
which lists all required libraries and can be used to install these as Anaconda packages.