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Ian D. Jonsen
Researcher at Macquarie University
Publications - 96
Citations - 7189
Ian D. Jonsen is an academic researcher from Macquarie University. The author has contributed to research in topics: Foraging & Population. The author has an hindex of 37, co-authored 87 publications receiving 6093 citations. Previous affiliations of Ian D. Jonsen include Bedford Institute of Oceanography & Dalhousie University.
Papers
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Journal ArticleDOI
State-space framework for estimating measurement error from double-tagging telemetry experiments
Arliss J. Winship,Salvador J. Jorgensen,Scott A. Shaffer,Ian D. Jonsen,Patrick W. Robinson,Daniel P. Costa,Barbara A. Block +6 more
TL;DR: A state-space modelling framework is developed for estimating the precision of telemetry location data based on double-tagging experiments that is simultaneously fitted to multiple data types with different temporal resolutions while including errors in all data.
Journal ArticleDOI
Spatiotemporal modelling of marine movement data using Template Model Builder (TMB)
Marie Auger-Méthé,Christoffer Moesgaard Albertsen,Ian D. Jonsen,Andrew E. Derocher,Damian C. Lidgard,Katharine R. Studholme,W. Don Bowen,Glenn T. Crossin,Joanna Mills Flemming +8 more
TL;DR: This work demonstrates that Template Model Builder (TMB), a new R package, is an accurate, efficient and flexible framework for modelling movement data and discusses how TMB’s potential reaches beyond marine movement studies.
Journal ArticleDOI
A continuous-time state-space model for rapid quality control of argos locations from animal-borne tags.
Ian D. Jonsen,Toby A. Patterson,Daniel P. Costa,Philip D. Doherty,Brendan J. Godley,W. James Grecian,Christophe Guinet,Xavier Hoenner,Sarah S. Kienle,Patrick W. Robinson,Stephen C. Votier,Scott D. Whiting,Matthew J. Witt,Mark A. Hindell,Robert Harcourt,Clive R. McMahon +15 more
TL;DR: In this paper, a continuous-time state-space model is proposed to filter the three types of Argos location data (Least-Squares, Kalman filter, and Kalman smoother), accounting for irregular timing of observations.
Journal ArticleDOI
Assessing performance of Bayesian state-space models fit to Argos satellite telemetry locations processed with Kalman filtering.
Mónica A. Silva,Mónica A. Silva,Ian D. Jonsen,Debbie J. F. Russell,Rui Prieto,David R. Thompson,Mark F. Baumgartner +6 more
TL;DR: Testing the performance of two Bayesian state-space models fitted to satellite tracking data processed with a Kalman filter found they can improve spatial accuracy of location estimates over LS models and produce equally reliable behavioural estimates.
Journal ArticleDOI
Tracking the fidelity of Atlantic bluefin tuna released in Canadian waters to the Gulf of Mexico spawning grounds
Steven G. Wilson,Ian D. Jonsen,Robert J. Schallert,James E. Ganong,Michael Castleton,Aaron D. Spares,Andre M. Boustany,Michael J. W. Stokesbury,Barbara A. Block +8 more
TL;DR: In this article, the authors used pop-up satellite archival tags to track the migrations of Atlantic bluefin tuna (Thunnus thynnus) to their spawning grounds.