Looking forward to an exciting ICCB! I'm presenting some recent work using deepSSF to simulate animal movement and dynamic distributions in 'Landscape & Spatial Ecology II', Wed 8:30-10:30am. Preprint here: www.biorxiv.org/content/10.1... and code and supp info here: swforrest.github.io/deepSSF/.

Animal movement is complex, depends on many interacting factors, and can be hard to accurately predict. Here we present a novel approach using a deep learning step selection framework: tinyurl.com/2em9yyjb, with lots of supporting info and code! swforrest.github.io/deepSSF/

Stoked to have a cover photo for @ecography.bsky.social! In our paper doi.org/10.1111/ecog... we included temporal dynamics into SSFs, resulting in daily patterns of movement and habitat selection.
Simulating gave us dynamic spatial predictions across the landscape.
Code! github.com/swforrest/dy...