ReviewMovement ecology2016
Path segmentation for beginners: an overview of current methods for detecting changes in animal movement patterns.
Review in Movement ecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.
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Who cites it
68 citing papers in PubMed.
- Stochastic modeling of long-legged ant A. gracilipes locomotion in laboratory experiments.PLoS computational biology · 2026Article
- Article
- Ecological barrier crossing strategies in longitudinal migrants: a case study of Mongolian gulls (Larus mongolicus) distributed in East Asia.Movement ecology · 2026Article
- A 2100-km jaguar journey redefines mobility and large-scale conservation priorities during large carnivore dispersal.Ecology · 2026Article
- Integrating multiple observation data sources to facilitate movement modelling of killer whale pods.Movement ecology · 2026Article
- Using Advanced Tri-Axial Accelerometer Data to Improve Behavioral Time Budgets and Bioenergetic Estimates of Wintering Lesser Scaup.Ecology and evolution · 2026Article
- Foraging Movement Patterns of Lactating Mexican Long-Nosed Bats in Central Mexico.Ecology and evolution · 2025Article
- Identifying dispersal events of red foxes (Vulpes vulpes) using early warning signals.Movement ecology · 2025Article
- Quantitative evaluation of methods to analyze motion changes in single-particle experiments.Nature communications · 2025Article
- Effects of vasectomy on breeding-related movement and activity in free-ranging white-tailed deer.Movement ecology · 2025Article
- Physical and biological effects on moths' navigation performance.Movement ecology · 2025Article
- Using mathematical modelling to highlight challenges in understanding trap counts obtained by a baited trap.Scientific reports · 2025Article
- A marine predator relies on both social cues and frequently updated memory to search for prey.Proceedings. Biological sciences · 2025Article
- How do red foxes (Vulpes vulpes) explore their environment? Characteristics of movement patterns in time and space.Movement ecology · 2025Article
- OpenLabCluster: active learning based clustering and classification of animal behaviors based on kinematic body keypoints.Frontiers in systems neuroscience · 2025Article
- Tracking the Ghosts of the Himalayas: Snow Leopard Conservation Insights From Satellite Collar Data.Ecology and evolution · 2025Article
- Travel specific resource selection by female Kodiak brown bears during the sockeye salmon spawning season.Movement ecology · 2024Article
- GPS-Based Hidden Markov Models to Document Pastoral Mobility in the Sahel.Sensors (Basel, Switzerland) · 2024Article
- The statistical building blocks of animal movement simulations.Movement ecology · 2024Article
- Naivety dies with the calf: calf loss to human hunters imposes behavioral change in a long-lived but heavily harvested ungulate.Movement ecology · 2024Article
8 more citing papers are in PubMed but not listed here.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Increased availability of high-resolution movement data has led to the development of numerous methods for studying changes in animal movement behavior. Path segmentation methods provide basics for detecting movement changes and the behavioral mechanisms driving them. However, available path segmentation methods differ vastly with respect to underlying statistical assumptions and output produced. Consequently, it is currently difficult for researchers new to path segmentation to gain an overview of the different methods, and choose one that is appropriate for their data and research questions. Here, we provide an overview of different methods for segmenting movement paths according to potential changes in underlying behavior. To structure our overview, we outline three broad types of research questions that are commonly addressed through path segmentation: 1) the quantitative description of movement patterns, 2) the detection of significant change-points, and 3) the identification of underlying processes or 'hidden states'. We discuss advantages and limitations of different approaches for addressing these research questions using path-level movement data, and present general guidelines for choosing methods based on data characteristics and questions. Our overview illustrates the large diversity of available path segmentation approaches, highlights the need for studies that compare the utility of different methods, and identifies opportunities for future developments in path-level data analysis.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.