So excited to finally share this really interesting project I worked on last year! ๐Ÿพ We trained a Transformer on animal trajectories (world-wide GPS location data for >50 species ๐Ÿฆ†๐Ÿฆ…๐Ÿฆ“๐Ÿฆฌ๐Ÿข) and studied how movement history and environmental variables affect predictions.

https://doi.org/10.1101/2023.03.05.531080
https://github.com/cifkao/moveformer

Had a lot of fun with deep learning for geospatial data and also released this library along the way:
gps2var: Fast reading of geospatial variables by GPS coordinates
https://github.com/cifkao/gps2var
GitHub - cifkao/gps2var: ๐ŸŒ Fast reading of geospatial variables by GPS coordinates ๐Ÿ“

๐ŸŒ Fast reading of geospatial variables by GPS coordinates ๐Ÿ“ - GitHub - cifkao/gps2var: ๐ŸŒ Fast reading of geospatial variables by GPS coordinates ๐Ÿ“

GitHub