Code and model output to "Statistical learning and topkriging improve spatio-temporal low-flow estimation" (Q6681823)

This data and software supports the manuscript "Statistical learning and topkriging improve spatio-temporal low-flow estimation" (10.22541/essoar.168652297.77508151/v1). The dataset consists of: all produced predictions of the models (data/predictions.RDS and data/predictions_csv/*) observational data (data/observations.csv) additional catchment data (data/catchment_data.csv) used for presenting the figures state boundaries of Austria as a shape file (data/boundaries.*) partial predictions of a model-based boosting approach (data/partial_predictions.csv) Example output of number of EOF, due to long computational time (data/number_eofs.RDS) IDs of near natural catchments (data/ids_low_flow.csv) Additionally, the code is provided to: Compute the number of EOFs (functions/number_eofs.R) Produce all the figures and tables in the paper (scripts/plotting_results.R)