Utilizing Time Series Models in Animal Movement Ecology

The chapter explores the use of time series models in analyzing tracking data of animals, highlighting the evolution from basic random walks to hidden Markov models for understanding complex behaviors. It discusses how statisticians work collaboratively with ecologists to analyze GPS and accelerometer data, showcasing the importance of flexible models with rich data. The conversation delves into the challenges of modeling animal movements and behavior, emphasizing the application of hidden Markov models for clustering and understanding temporal dependencies.