Generalizing the first-difference correlated random walk for marine animal movement data
Animal telemetry data are often analysed with discrete time movement models. These models are defined with regular time steps. However, telemetry data from marine animals are observed irregularly. To account for irregular data, a time-irregularised first-difference correlated random walk model with...
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ftpubmed:oai:pubmedcentral.nih.gov:6408531 2023-05-15T18:07:06+02:00 Generalizing the first-difference correlated random walk for marine animal movement data Albertsen, Christoffer Moesgaard 2019-03-08 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408531/ http://www.ncbi.nlm.nih.gov/pubmed/30850659 https://doi.org/10.1038/s41598-019-40405-z en eng Nature Publishing Group UK http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408531/ http://www.ncbi.nlm.nih.gov/pubmed/30850659 http://dx.doi.org/10.1038/s41598-019-40405-z © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. CC-BY Article Text 2019 ftpubmed https://doi.org/10.1038/s41598-019-40405-z 2019-03-17T01:20:47Z Animal telemetry data are often analysed with discrete time movement models. These models are defined with regular time steps. However, telemetry data from marine animals are observed irregularly. To account for irregular data, a time-irregularised first-difference correlated random walk model with drift is introduced. The model generalizes the commonly used first-difference correlated random walk with regular time steps by allowing irregular time steps, including a drift term, and by allowing different autocorrelation in the two coordinates. The model is applied to data from a ringed seal collected through the Argos satellite system, and is compared to related movement models through simulations. Accounting for irregular data in the movement model results in accurate parameter estimates and reconstruction of movement paths. Further, the introduced model can provide more accurate movement paths than the regular time counterpart. Extracting accurate movement paths from uncertain telemetry data is important for evaluating space use patterns for marine animals, which in turn is crucial for management. Further, handling irregular data directly in the movement model allows efficient simultaneous analyses of several animals. Text ringed seal PubMed Central (PMC) Scientific Reports 9 1 |
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Article Albertsen, Christoffer Moesgaard Generalizing the first-difference correlated random walk for marine animal movement data |
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description |
Animal telemetry data are often analysed with discrete time movement models. These models are defined with regular time steps. However, telemetry data from marine animals are observed irregularly. To account for irregular data, a time-irregularised first-difference correlated random walk model with drift is introduced. The model generalizes the commonly used first-difference correlated random walk with regular time steps by allowing irregular time steps, including a drift term, and by allowing different autocorrelation in the two coordinates. The model is applied to data from a ringed seal collected through the Argos satellite system, and is compared to related movement models through simulations. Accounting for irregular data in the movement model results in accurate parameter estimates and reconstruction of movement paths. Further, the introduced model can provide more accurate movement paths than the regular time counterpart. Extracting accurate movement paths from uncertain telemetry data is important for evaluating space use patterns for marine animals, which in turn is crucial for management. Further, handling irregular data directly in the movement model allows efficient simultaneous analyses of several animals. |
format |
Text |
author |
Albertsen, Christoffer Moesgaard |
author_facet |
Albertsen, Christoffer Moesgaard |
author_sort |
Albertsen, Christoffer Moesgaard |
title |
Generalizing the first-difference correlated random walk for marine animal movement data |
title_short |
Generalizing the first-difference correlated random walk for marine animal movement data |
title_full |
Generalizing the first-difference correlated random walk for marine animal movement data |
title_fullStr |
Generalizing the first-difference correlated random walk for marine animal movement data |
title_full_unstemmed |
Generalizing the first-difference correlated random walk for marine animal movement data |
title_sort |
generalizing the first-difference correlated random walk for marine animal movement data |
publisher |
Nature Publishing Group UK |
publishDate |
2019 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408531/ http://www.ncbi.nlm.nih.gov/pubmed/30850659 https://doi.org/10.1038/s41598-019-40405-z |
genre |
ringed seal |
genre_facet |
ringed seal |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6408531/ http://www.ncbi.nlm.nih.gov/pubmed/30850659 http://dx.doi.org/10.1038/s41598-019-40405-z |
op_rights |
© The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
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CC-BY |
op_doi |
https://doi.org/10.1038/s41598-019-40405-z |
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Scientific Reports |
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