Identifying latent behavioural states in animal movement with M4, a nonparametric Bayesian method
Abstract
Understanding animal movement often relies upon telemetry and biologging devices. These data are frequently used to estimate latent behavioural states to help understand why animals move across the landscape. While there are a variety of methods that make behavioural inferences from biotelemetry data, some features of these methods (e.g. analysis of a single data stream, use of parametric distributions) may limit their generality to reliably discriminate among behavioural states.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Oct 31, 2021
- Source ID
- 10.1111/2041-210x.13745
Entities
People
- Caroline L Poli
- Denis Valle
- Joshua A Cullen
- Robert J. Fletcher
Organizations
- Florida Fish and Wildlife Conservation Commission
- National Institute of Food and Agriculture
- National Science Foundation
- United States Army Corps of Engineers
- University of Florida