Animal telemetry is a powerful tool for observing marine animals and the physical
environments that they inhabit, from coastal and continental shelf ecosystems to polar seas …

Animal tracking data are indispensable for understanding the ecology, behaviour and
physiology of mobile or cryptic species. Meaningful signals in these data can be obscured …

Discrete‐time hidden Markov models (HMMs) have become an immensely popular tool for
inferring latent animal behaviours from telemetry data. While movement HMMs typically rely …

Like many species, movement patterns of southern elephant seals (Mirounga leonina) are
being influenced by long‐term environmental change. These seals migrate up to 4,000 km …

Humpback whale (Megaptera novaeangliae) populations typically undertake seasonal
migrations, spending winters in low latitude breeding grounds and summers foraging in high …

Abstract Hidden Markov models (HMMs) are commonly used to model animal movement
data and infer aspects of animal behavior. An HMM assumes that each data point from a …

Humpback whale populations migrate extensively between winter breeding grounds and
summer feeding grounds, however known links to remote Antarctic feeding grounds remain …

Hidden Markov models are prevalent in animal movement modelling, where they are widely
used to infer behavioural modes and their drivers from various types of telemetry data. To …

Continuous‐time models have been developed to capture features of animal movement
across temporal scales. In particular, one popular model is the continuous‐time correlated …

Statistical models for animal movement provide tools that help ecologists and biologists
learn how animals interact with their environment and each other. Efforts to develop …