Data from: Learning to predict spatio-temporal movement dynamics from static sensor networks

This dataset contains the following:

• data:
  • raw: simulation outputs (i.e. individual trajectories)
  • preprocessed: hourly European weather radar data (here: radar) and aggregated simulation outputs (here: abm), combined with ERA5 data and Voronoi tessellation details
  • shapes: geographical shapes used for plotting
  • plots: all automatically generated plots
• results: trained models and corresponding results
• figures: final figures presented in our paper "Learning to predict spatio-temporal movement dynamics from static sensor networks" to summarize the results

The corresponding code used to train and evaluate models is archived here: 10.5281/zenodo.6364805.