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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ftdatacite:10.6084/m9.figshare.c.3300326.v1 2023-05-15T16:33:07+02:00 CONTINUOUS-TIME CORRELATED RANDOM WALK MODEL FOR ANIMAL TELEMETRY DATA Johnson, Devin S. London, Joshua M. Mary-Anne Lea Durban, John W. 2016 https://dx.doi.org/10.6084/m9.figshare.c.3300326.v1 https://figshare.com/collections/CONTINUOUS-TIME_CORRELATED_RANDOM_WALK_MODEL_FOR_ANIMAL_TELEMETRY_DATA/3300326/1 unknown Figshare https://dx.doi.org/10.1890/07-1032.1 https://dx.doi.org/10.6084/m9.figshare.c.3300326 CC-BY http://creativecommons.org/licenses/by/3.0/us CC-BY Environmental Science Ecology FOS Biological sciences Collection article 2016 ftdatacite https://doi.org/10.6084/m9.figshare.c.3300326.v1 https://doi.org/10.1890/07-1032.1 https://doi.org/10.6084/m9.figshare.c.3300326 2021-11-05T12:55:41Z 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 state–space 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 Two previously unpublished marine mammal telemetry data sets were analyzed to illustrate use of the model, by-products available from the analysis, and different modifications which are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 DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Environmental Science Ecology FOS Biological sciences |
spellingShingle |
Environmental Science Ecology FOS Biological sciences Johnson, Devin S. London, Joshua M. Mary-Anne Lea Durban, John W. CONTINUOUS-TIME CORRELATED RANDOM WALK MODEL FOR ANIMAL TELEMETRY DATA |
topic_facet |
Environmental Science Ecology FOS Biological sciences |
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 state–space 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, Devin S. London, Joshua M. Mary-Anne Lea Durban, John W. |
author_facet |
Johnson, Devin S. London, Joshua M. Mary-Anne Lea Durban, John W. |
author_sort |
Johnson, Devin S. |
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 |
Figshare |
publishDate |
2016 |
url |
https://dx.doi.org/10.6084/m9.figshare.c.3300326.v1 https://figshare.com/collections/CONTINUOUS-TIME_CORRELATED_RANDOM_WALK_MODEL_FOR_ANIMAL_TELEMETRY_DATA/3300326/1 |
genre |
harbor seal Northern fur seal |
genre_facet |
harbor seal Northern fur seal |
op_relation |
https://dx.doi.org/10.1890/07-1032.1 https://dx.doi.org/10.6084/m9.figshare.c.3300326 |
op_rights |
CC-BY http://creativecommons.org/licenses/by/3.0/us |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.6084/m9.figshare.c.3300326.v1 https://doi.org/10.1890/07-1032.1 https://doi.org/10.6084/m9.figshare.c.3300326 |
_version_ |
1766022837429075968 |