Advancing Spatial Pattern Integration in Species Distribution Modelling With Computer Vision: How Grain Size and Extent Concepts Shape Predictions of Emerging Aquatic Insects
Augustin De la Brosse, Aimi Okabayashi, Thomas Corpetti, Thomas Houet
This paper evaluates how grain size and window extent affect Deep SDMs for predicting aquatic insect distributions, finding significant performance variations with different resolutions and extents.
bioRxiv · Oct 30, 2026 · PreprintEcology