State–space models (SSMs) are an important modeling framework for analyzing ecological
time series. These hierarchical models are commonly used to model population dynamics …

Abstract Hidden Markov models (HMMs) and their extensions are attractive methods for
analysing ecological data where noisy, multivariate measurements are made of a hidden …

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 …

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 …

Increased availability of high-resolution movement data has led to the development of
numerous methods for studying changes in animal movement behavior. Path segmentation …

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 …

With the influx of complex and detailed tracking data gathered from electronic tracking
devices, the analysis of animal movement data has recently emerged as a cottage industry …

Background State-space models are important tools for quality control and analysis of error-
prone animal movement data. The near real-time (within 24 h) capability of the Argos …

There is now compelling evidence that many organisms have movement patterns that can
be described as Lévy walks, or Lévy flights. Lévy movement patterns have been identified in …

Pathogen transmission depends on host density, mobility and contact. These components
emerge from host and pathogen movements that themselves arise through interactions with …