Modeling Interdependent Animal Movement in Continuous Time
Summary This article presents a new approach to modeling group animal movement in continuous time. The movement of a group of animals is modeled as a multivariate Ornstein Uhlenbeck diffusion process in a high-dimensional space. Each individual of the group is attracted to a leading point which is g...
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Oxford University Press (OUP)
2016
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Online Access: | http://dx.doi.org/10.1111/biom.12454 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fbiom.12454 https://academic.oup.com/biometrics/article-pdf/72/2/315/55173259/biometrics_72_2_315.pdf |
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croxfordunivpr:10.1111/biom.12454 2024-06-23T07:56:21+00:00 Modeling Interdependent Animal Movement in Continuous Time Niu, Mu Blackwell, Paul G. Skarin, Anna Engineering and Physical Sciences Research Council 2016 http://dx.doi.org/10.1111/biom.12454 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fbiom.12454 https://academic.oup.com/biometrics/article-pdf/72/2/315/55173259/biometrics_72_2_315.pdf en eng Oxford University Press (OUP) http://creativecommons.org/licenses/by/4.0/ Biometrics volume 72, issue 2, page 315-324 ISSN 0006-341X 1541-0420 journal-article 2016 croxfordunivpr https://doi.org/10.1111/biom.12454 2024-06-11T04:17:31Z Summary This article presents a new approach to modeling group animal movement in continuous time. The movement of a group of animals is modeled as a multivariate Ornstein Uhlenbeck diffusion process in a high-dimensional space. Each individual of the group is attracted to a leading point which is generally unobserved, and the movement of the leading point is also an Ornstein Uhlenbeck process attracted to an unknown attractor. The Ornstein Uhlenbeck bridge is applied to reconstruct the location of the leading point. All movement parameters are estimated using Markov chain Monte Carlo sampling, specifically a Metropolis Hastings algorithm. We apply the method to a small group of simultaneously tracked reindeer, Rangifer tarandus tarandus, showing that the method detects dependency in movement between individuals. Article in Journal/Newspaper Rangifer tarandus Oxford University Press Hastings ENVELOPE(-154.167,-154.167,-85.567,-85.567) Biometrics 72 2 315 324 |
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Open Polar |
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Oxford University Press |
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croxfordunivpr |
language |
English |
description |
Summary This article presents a new approach to modeling group animal movement in continuous time. The movement of a group of animals is modeled as a multivariate Ornstein Uhlenbeck diffusion process in a high-dimensional space. Each individual of the group is attracted to a leading point which is generally unobserved, and the movement of the leading point is also an Ornstein Uhlenbeck process attracted to an unknown attractor. The Ornstein Uhlenbeck bridge is applied to reconstruct the location of the leading point. All movement parameters are estimated using Markov chain Monte Carlo sampling, specifically a Metropolis Hastings algorithm. We apply the method to a small group of simultaneously tracked reindeer, Rangifer tarandus tarandus, showing that the method detects dependency in movement between individuals. |
author2 |
Engineering and Physical Sciences Research Council |
format |
Article in Journal/Newspaper |
author |
Niu, Mu Blackwell, Paul G. Skarin, Anna |
spellingShingle |
Niu, Mu Blackwell, Paul G. Skarin, Anna Modeling Interdependent Animal Movement in Continuous Time |
author_facet |
Niu, Mu Blackwell, Paul G. Skarin, Anna |
author_sort |
Niu, Mu |
title |
Modeling Interdependent Animal Movement in Continuous Time |
title_short |
Modeling Interdependent Animal Movement in Continuous Time |
title_full |
Modeling Interdependent Animal Movement in Continuous Time |
title_fullStr |
Modeling Interdependent Animal Movement in Continuous Time |
title_full_unstemmed |
Modeling Interdependent Animal Movement in Continuous Time |
title_sort |
modeling interdependent animal movement in continuous time |
publisher |
Oxford University Press (OUP) |
publishDate |
2016 |
url |
http://dx.doi.org/10.1111/biom.12454 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fbiom.12454 https://academic.oup.com/biometrics/article-pdf/72/2/315/55173259/biometrics_72_2_315.pdf |
long_lat |
ENVELOPE(-154.167,-154.167,-85.567,-85.567) |
geographic |
Hastings |
geographic_facet |
Hastings |
genre |
Rangifer tarandus |
genre_facet |
Rangifer tarandus |
op_source |
Biometrics volume 72, issue 2, page 315-324 ISSN 0006-341X 1541-0420 |
op_rights |
http://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.1111/biom.12454 |
container_title |
Biometrics |
container_volume |
72 |
container_issue |
2 |
container_start_page |
315 |
op_container_end_page |
324 |
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1802649399298359296 |