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...

Full description

Bibliographic Details
Published in:Ecology
Main Authors: Johnson, DS, London, JM, Lea, MA, Durban, JW
Format: Article in Journal/Newspaper
Language:English
Published: Ecological Society of America 2008
Subjects:
Online Access: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
id ftunivtasecite:oai:ecite.utas.edu.au:52290
record_format openpolar
spelling 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 Two previously unpublished marine mammal telemetry data sets were analyzed to illustrate use of the model, by-products available from the analysis, and different modifications which are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
institution Open Polar
collection eCite UTAS (University of Tasmania)
op_collection_id ftunivtasecite
language English
topic Mathematical Sciences
Statistics
Applied Statistics
spellingShingle 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
container_volume 89
container_issue 5
container_start_page 1208
op_container_end_page 1215
_version_ 1766022836044955648