FluxRGNN v1.1.1

• Several small bugs have been fixed
• The README now provides detailed information on how to reproduce the results from our paper

FluxRGNN v1.1.0

This is the new version of FluxRGNN, associated with our updated manuscript "Learning to predict spatio-temporal movement dynamics from weather radar networks".

Major changes

• extended README with additional information on required input data, preprocessing and analysis scripts
• updated all jupyter notebooks to generate figures for the updated manuscript
• added notebooks/inspect_results.ipynb to quickly visualize model outputs
• changed all config files to default settings for the weather radar data
• added preprocessing_environment.yml to update conda environment for radar data preprocessing

FluxRGNN v1.0.0

This is the initial release of FluxRGNN, containing the code used to run all experiments and analysis for our paper "Learning to predict spatio-temporal movement dynamics from static sensor networks".