Social network analysis has achieved remarkable popularity in disease ecology, and is
sometimes carried out without investigating spatial heterogeneity. Many investigations into …

Movement is fundamental to life, sha** population dynamics, biodiversity patterns, and
ecosystem structure. In 2008, the movement ecology framework (MEF Nathan et al. in PNAS …

Methods for collecting animal behaviour data in natural environments, such as direct
observation and biologging, are typically limited in spatiotemporal resolution, the number of …

Modern, high‐throughput animal tracking increasingly yields 'big data'at very fine temporal
scales. At these scales, location error can exceed the animal's step size, leading to mis …

There is long-standing scientific interest in understanding purposeful movement by animals
and humans. Traditionally, collecting data on individual moving entities was difficult and time …

To robustly predict the effects of disturbance and ecosystem changes on species, it is
necessary to produce structurally realistic models with high predictive power and flexibility …

Sustainable development depends on the integration of the economy, society, and
environment. Yet, escalating environmental challenges pose threats to both society and the …

The field of movement ecology has seen a rapid increase in high-resolution data in recent
years, leading to the development of numerous statistical and numerical methods to analyse …

Identifying and understanding patterns in movement data are amongst the principal aims of
movement ecology. By quantifying the similarity of movement trajectories, inferences can be …

Movement is the driving force behind the form and function of many ecological and human
systems. Identification and analysis of movement patterns that may relate to the behavior of …