Machine learned daily life history classification using low frequency tracking data and automated modelling pipelines: application to North American waterfowl
Identifying animal behaviors, life history states, and movement patterns is a prerequisite for many animal behavior analyses and effective management of wildlife and habitats. Most approaches classify short-te...