Description
Animal Movement: Statistical Models for Telemetry Data is an essential reference for wildlife biologists, quantitative ecologists, and statisticians who seek a deeper understanding of modern animal movement models. A wide variety of modeling approaches are reconciled in the book using a consistent notation. Models are organized into groups based on how they treat the underlying spatio-temporal process of movement. Connections among approaches are highlighted to allow the reader to form a broader view of animal movement analysis and its associations with traditional spatial and temporal statistical modeling. The study of animal movement has always been a key element in ecological science, because it is inherently linked to critical processes that scale from individuals to populations and communities to ecosystems. Rapid improvements in biotelemetry data collection and processing technology have given rise to a variety of statistical methods for characterizing animal movement. The ebook serves as a comprehensive reference for the types of statistical models used to study individual-based animal movement. 320 p.
- Mevin B. Hooten. PhD, Associate Professor in the Departments of Fish, Wildlife & Conservation Biology and Statistics. Colorado State University, Fort Collins, CO (USA); Assistant Unit Leader. U.S. Geological Survey, Colorado Cooperative Fish and Wildlife Research Unit, CO (USA).
- Devin S. Johnson. PhD, Statistician. National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Washington, DC (USA).
- Brett T. McClintock. PhD, Statistician. National Oceanic and Atmospheric Administration, National Marine Fisheries Service, Washington, DC (USA).Et al...
- Publication date (digital version): 2021-06.
You must be logged in to submit a review.