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ROBUST STATE–SPACE MODELING OF ANIMAL MOVEMENT DATA
Abstract
Remotely sensed tracking data collected on animal movement is vastly underutilized due to a lack of statistical tools for appropriate analysis. Features of such data that make analysis particularly challenging include the presence of estimation errors that are non-Gaussian and vary in time, observations that occur irregularly in time, and complexity in the underlying behavioral processes. We develop a state–space framework that simultaneously deals with these features and demonstrate our method by analyzing three seal pathway data sets. We show how known information regarding error distributions can be used to improve inference of the underlying process(es) and demonstrate that our framework provides a powerful and flexible method for fitting different behavioral models to tracking data.
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Cited by
Frair, J. L., Fieberg, J., Hebblewhite, M., Cagnacci, F., DeCesare, N. J., & Pedrotti, L. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2010.0084 · Cited by 420
Mueller, T., & Fagan, W. F. (2008) · Oikos · doi:10.1111/j.0030-1299.2008.16291.x · Cited by 399
Animal behavior, cost-based corridor models, and real corridors
LaPoint, S., Gallery, P., Wikelski, M., & Kays, R. (2013) · Landscape Ecology · doi:10.1007/s10980-013-9910-0 · Cited by 203
Machine learning for inferring animal behavior from location and movement data
Wang, G. (2019) · Ecological Informatics · doi:10.1016/j.ecoinf.2018.12.002 · Cited by 154
Auger-Méthé, M., Field, C., Albertsen, C. M., Derocher, A. E., Lewis, M. A., Jonsen, I. D., & Mills Flemming, J. (2016) · Scientific Reports · doi:10.1038/srep26677 · Cited by 141
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Metadata
- Authors
- Jonsen, I. D., Flemming, J. M., & Myers, R. A.
- Venue
- Ecology
- Publisher
- Wiley
- Published
- 2005-11
- Volume
- 86
- Issue
- 11
- Pages
- 2874-2880
- ISSN
- 0012-9658 (ISSN-L)
- OpenAlex
- W2018791357
- Cited by
- 794
- References
- 0
- FWCI
- 10.71
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: ROBUST STATE–SPACE MODELING OF ANIMAL MOVEMENT DATA. https://app.cochat.ai/papers/10.1890/04-1852
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- Jonsen, I. D., Flemming, J. M., & Myers, R. A. (2005). ROBUST STATE–SPACE MODELING OF ANIMAL MOVEMENT DATA. Ecology. https://doi.org/10.1890/04-1852
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
