Continuous-time correlated random walk model for animal telemetry data
We propose a continuous-time version of the correlated random walk model for animal telemetry data. The continuous-time formulation allows data that have been nonuniformly collected over time to be modeled without subsampling, interpolation, or aggregation to obtain a set of locations uniformly spac...
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Ecological Society of America
2008
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ftunivtasecite:oai:ecite.utas.edu.au:52290 2023-05-15T16:33:07+02:00 Continuous-time correlated random walk model for animal telemetry data Johnson, DS London, JM Lea, MA Durban, JW 2008 application/pdf http://www.esajournals.org/loi/ecol https://doi.org/10.1890/07-1032.1 http://www.ncbi.nlm.nih.gov/pubmed/18543615 http://ecite.utas.edu.au/52290 en eng Ecological Society of America http://ecite.utas.edu.au/52290/1/johnson_et_al_2008.pdf http://dx.doi.org/10.1890/07-1032.1 Johnson, DS and London, JM and Lea, MA and Durban, JW, Continuous-time correlated random walk model for animal telemetry data, Ecology, 89, (5) pp. 1208-1215. ISSN 0012-9658 (2008) [Refereed Article] http://www.ncbi.nlm.nih.gov/pubmed/18543615 http://ecite.utas.edu.au/52290 Mathematical Sciences Statistics Applied Statistics Refereed Article PeerReviewed 2008 ftunivtasecite https://doi.org/10.1890/07-1032.1 2019-12-13T21:25:57Z We propose a continuous-time version of the correlated random walk model for animal telemetry data. The continuous-time formulation allows data that have been nonuniformly collected over time to be modeled without subsampling, interpolation, or aggregation to obtain a set of locations uniformly spaced in time. The model is derived from a continuous-time Ornstein-Uhlenbeck velocity process that is integrated to form a location process. The continuous-time model was placed into a statespace framework to allow parameter estimation and location predictions from observed animal locations. Two previously unpublished marine mammal telemetry data sets were analyzed to illustrate use of the model, by-products available from the analysis, and different modifications which are possible. A harbor seal data set was analyzed with a model that incorporates the proportion of each hour spent on land. Also, a northern fur seal pup data set was analyzed with a random drift component to account for directed travel and ocean currents. Article in Journal/Newspaper harbor seal Northern fur seal eCite UTAS (University of Tasmania) Ecology 89 5 1208 1215 |
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eCite UTAS (University of Tasmania) |
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ftunivtasecite |
language |
English |
topic |
Mathematical Sciences Statistics Applied Statistics |
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Mathematical Sciences Statistics Applied Statistics Johnson, DS London, JM Lea, MA Durban, JW Continuous-time correlated random walk model for animal telemetry data |
topic_facet |
Mathematical Sciences Statistics Applied Statistics |
description |
We propose a continuous-time version of the correlated random walk model for animal telemetry data. The continuous-time formulation allows data that have been nonuniformly collected over time to be modeled without subsampling, interpolation, or aggregation to obtain a set of locations uniformly spaced in time. The model is derived from a continuous-time Ornstein-Uhlenbeck velocity process that is integrated to form a location process. The continuous-time model was placed into a statespace framework to allow parameter estimation and location predictions from observed animal locations. Two previously unpublished marine mammal telemetry data sets were analyzed to illustrate use of the model, by-products available from the analysis, and different modifications which are possible. A harbor seal data set was analyzed with a model that incorporates the proportion of each hour spent on land. Also, a northern fur seal pup data set was analyzed with a random drift component to account for directed travel and ocean currents. |
format |
Article in Journal/Newspaper |
author |
Johnson, DS London, JM Lea, MA Durban, JW |
author_facet |
Johnson, DS London, JM Lea, MA Durban, JW |
author_sort |
Johnson, DS |
title |
Continuous-time correlated random walk model for animal telemetry data |
title_short |
Continuous-time correlated random walk model for animal telemetry data |
title_full |
Continuous-time correlated random walk model for animal telemetry data |
title_fullStr |
Continuous-time correlated random walk model for animal telemetry data |
title_full_unstemmed |
Continuous-time correlated random walk model for animal telemetry data |
title_sort |
continuous-time correlated random walk model for animal telemetry data |
publisher |
Ecological Society of America |
publishDate |
2008 |
url |
http://www.esajournals.org/loi/ecol https://doi.org/10.1890/07-1032.1 http://www.ncbi.nlm.nih.gov/pubmed/18543615 http://ecite.utas.edu.au/52290 |
genre |
harbor seal Northern fur seal |
genre_facet |
harbor seal Northern fur seal |
op_relation |
http://ecite.utas.edu.au/52290/1/johnson_et_al_2008.pdf http://dx.doi.org/10.1890/07-1032.1 Johnson, DS and London, JM and Lea, MA and Durban, JW, Continuous-time correlated random walk model for animal telemetry data, Ecology, 89, (5) pp. 1208-1215. ISSN 0012-9658 (2008) [Refereed Article] http://www.ncbi.nlm.nih.gov/pubmed/18543615 http://ecite.utas.edu.au/52290 |
op_doi |
https://doi.org/10.1890/07-1032.1 |
container_title |
Ecology |
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89 |
container_issue |
5 |
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1208 |
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1215 |
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1766022836044955648 |