Assessing performance of Bayesian state-space models fit to Argos satellite telemetry locations processed with Kalman filtering
© The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in PLoS One 9 (2014): e92277, doi:10.1371/journal.pone.0092277. Argos recently implemented a new algorithm to calculate locations of satellite-tracked...
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ftwhoas:oai:darchive.mblwhoilibrary.org:1912/6614 2023-05-15T15:36:43+02:00 Assessing performance of Bayesian state-space models fit to Argos satellite telemetry locations processed with Kalman filtering Silva, Monica A. Jonsen, Ian Russell, Deborah J. F. Prieto, Rui Thompson, Dave Baumgartner, Mark F. 2014-03-20 application/pdf application/msword https://hdl.handle.net/1912/6614 en_US eng Public Library of Science https://doi.org/10.1371/journal.pone.0092277 PLoS One 9 (2014): e92277 https://hdl.handle.net/1912/6614 doi:10.1371/journal.pone.0092277 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ CC-BY PLoS One 9 (2014): e92277 doi:10.1371/journal.pone.0092277 Article 2014 ftwhoas https://doi.org/10.1371/journal.pone.0092277 2022-05-28T22:59:05Z © The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in PLoS One 9 (2014): e92277, doi:10.1371/journal.pone.0092277. Argos recently implemented a new algorithm to calculate locations of satellite-tracked animals that uses a Kalman filter (KF). The KF algorithm is reported to increase the number and accuracy of estimated positions over the traditional Least Squares (LS) algorithm, with potential advantages to the application of state-space methods to model animal movement data. We tested the performance of two Bayesian state-space models (SSMs) fitted to satellite tracking data processed with KF algorithm. Tracks from 7 harbour seals (Phoca vitulina) tagged with ARGOS satellite transmitters equipped with Fastloc GPS loggers were used to calculate the error of locations estimated from SSMs fitted to KF and LS data, by comparing those to “true” GPS locations. Data on 6 fin whales (Balaenoptera physalus) were used to investigate consistency in movement parameters, location and behavioural states estimated by switching state-space models (SSSM) fitted to data derived from KF and LS methods. The model fit to KF locations improved the accuracy of seal trips by 27% over the LS model. 82% of locations predicted from the KF model and 73% of locations from the LS model were <5 km from the corresponding interpolated GPS position. Uncertainty in KF model estimates (5.6±5.6 km) was nearly half that of LS estimates (11.6±8.4 km). Accuracy of KF and LS modelled locations was sensitive to precision but not to observation frequency or temporal resolution of raw Argos data. On average, 88% of whale locations estimated by KF models fell within the 95% probability ellipse of paired locations from LS models. Precision of KF locations for whales was generally higher. Whales’ behavioural mode inferred by KF models matched the classification from LS models in 94% of the cases. State-space models fit to KF data can improve spatial ... Article in Journal/Newspaper Balaenoptera physalus Phoca vitulina Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) PLoS ONE 9 3 e92277 |
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Open Polar |
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Woods Hole Scientific Community: WHOAS (Woods Hole Open Access Server) |
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ftwhoas |
language |
English |
description |
© The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in PLoS One 9 (2014): e92277, doi:10.1371/journal.pone.0092277. Argos recently implemented a new algorithm to calculate locations of satellite-tracked animals that uses a Kalman filter (KF). The KF algorithm is reported to increase the number and accuracy of estimated positions over the traditional Least Squares (LS) algorithm, with potential advantages to the application of state-space methods to model animal movement data. We tested the performance of two Bayesian state-space models (SSMs) fitted to satellite tracking data processed with KF algorithm. Tracks from 7 harbour seals (Phoca vitulina) tagged with ARGOS satellite transmitters equipped with Fastloc GPS loggers were used to calculate the error of locations estimated from SSMs fitted to KF and LS data, by comparing those to “true” GPS locations. Data on 6 fin whales (Balaenoptera physalus) were used to investigate consistency in movement parameters, location and behavioural states estimated by switching state-space models (SSSM) fitted to data derived from KF and LS methods. The model fit to KF locations improved the accuracy of seal trips by 27% over the LS model. 82% of locations predicted from the KF model and 73% of locations from the LS model were <5 km from the corresponding interpolated GPS position. Uncertainty in KF model estimates (5.6±5.6 km) was nearly half that of LS estimates (11.6±8.4 km). Accuracy of KF and LS modelled locations was sensitive to precision but not to observation frequency or temporal resolution of raw Argos data. On average, 88% of whale locations estimated by KF models fell within the 95% probability ellipse of paired locations from LS models. Precision of KF locations for whales was generally higher. Whales’ behavioural mode inferred by KF models matched the classification from LS models in 94% of the cases. State-space models fit to KF data can improve spatial ... |
format |
Article in Journal/Newspaper |
author |
Silva, Monica A. Jonsen, Ian Russell, Deborah J. F. Prieto, Rui Thompson, Dave Baumgartner, Mark F. |
spellingShingle |
Silva, Monica A. Jonsen, Ian Russell, Deborah J. F. Prieto, Rui Thompson, Dave Baumgartner, Mark F. Assessing performance of Bayesian state-space models fit to Argos satellite telemetry locations processed with Kalman filtering |
author_facet |
Silva, Monica A. Jonsen, Ian Russell, Deborah J. F. Prieto, Rui Thompson, Dave Baumgartner, Mark F. |
author_sort |
Silva, Monica A. |
title |
Assessing performance of Bayesian state-space models fit to Argos satellite telemetry locations processed with Kalman filtering |
title_short |
Assessing performance of Bayesian state-space models fit to Argos satellite telemetry locations processed with Kalman filtering |
title_full |
Assessing performance of Bayesian state-space models fit to Argos satellite telemetry locations processed with Kalman filtering |
title_fullStr |
Assessing performance of Bayesian state-space models fit to Argos satellite telemetry locations processed with Kalman filtering |
title_full_unstemmed |
Assessing performance of Bayesian state-space models fit to Argos satellite telemetry locations processed with Kalman filtering |
title_sort |
assessing performance of bayesian state-space models fit to argos satellite telemetry locations processed with kalman filtering |
publisher |
Public Library of Science |
publishDate |
2014 |
url |
https://hdl.handle.net/1912/6614 |
genre |
Balaenoptera physalus Phoca vitulina |
genre_facet |
Balaenoptera physalus Phoca vitulina |
op_source |
PLoS One 9 (2014): e92277 doi:10.1371/journal.pone.0092277 |
op_relation |
https://doi.org/10.1371/journal.pone.0092277 PLoS One 9 (2014): e92277 https://hdl.handle.net/1912/6614 doi:10.1371/journal.pone.0092277 |
op_rights |
Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1371/journal.pone.0092277 |
container_title |
PLoS ONE |
container_volume |
9 |
container_issue |
3 |
container_start_page |
e92277 |
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1766367080676851712 |