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 …

The paradigm‐changing opportunities of biologging sensors for ecological research,
especially movement ecology, are vast, but the crucial questions of how best to match the …

Due to the substantial progress in tracking technology, recent years have seen an explosion
in the amount of movement data being collected. This has led to a huge demand for …

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 …

Movement data provide a window–often our only window–into the cognitive, social and
biological processes that underlie the behavioural ecology of animals in the wild. Robust …

Psychology and neuroscience are concerned with the study of behavior, of internal cognitive
processes, and their neural foundations. However, most laboratory studies use constrained …

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 …

The advent of miniaturized biologging devices has provided ecologists with unprecedented
opportunities to record animal movement across scales, and led to the collection of ever …