2,563
Views
39
CrossRef citations to date
0
Altmetric
Review Article

Ecological metrics and methods for GPS movement data

ORCID Icon, ORCID Icon, ORCID Icon & ORCID Icon
Pages 2272-2293 | Received 27 Feb 2018, Accepted 04 Jul 2018, Published online: 23 Jul 2018
 

ABSTRACT

The growing field of movement ecology uses high resolution movement data to analyze animal behavior across multiple scales: from individual foraging decisions to population-level space-use patterns. These analyses contribute to various subfields of ecology – inter alia behavioral, disease, landscape, resource, and wildlife – and facilitate novel exploration in fields ranging from conservation planning to public health. Despite the growing availability and general accessibility of animal movement data, much potential remains for the analytical methods of movement ecology to be incorporated in all types of geographic analyses. This review provides for the Geographical Information Sciences (GIS) community an overview of the most common movement metrics and methods of analysis employed by animal ecologists. Through illustrative applications, we emphasize the potential for movement analyses to promote transdisciplinary GIS/wildlife-ecology research.

Supplementary data

Supplementary data for this article can be accessed here.

Acknowledgments

The authors wish to thank the Getz and Brashares labs at UC Berkeley for their careful consideration of early manuscript drafts and helpful comments towards the shaping of this review. The impetus for this review arose from a presentation given by WMG at Ohio State University, at an NSF Workshop on Advancing Movement and Mobility Science by Bridging Research on Human Mobility and Animal Movement Ecology, organized by Harvey J. Miller, Jennifer A. Miller and Gil Bohrer.

Disclosure Statement

The authors declare no potential conflicts of interest.

Additional information

Funding

This research was supported by grants NIH-GM 083863 and NSF-EEID 1617982 and by the National Socio-Environmental Synthesis Center (SESYNC) under funding received from the National Science Foundation DBI-1052875.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 704.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.