The tag location problem ...

This thesis provides an integrated approach to common problems with location estimation for animal tracking. Many existing techniques confound problems of location accuracy with simplistic track representations and under-utilization of available data. Traditional techniques such as speed ltering and...

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Main Author: Sumner, Jeremy
Format: Thesis
Language:unknown
Published: University Of Tasmania 2023
Subjects:
Online Access:https://dx.doi.org/10.25959/23209538.v1
https://figshare.utas.edu.au/articles/thesis/The_tag_location_problem/23209538/1
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spelling ftdatacite:10.25959/23209538.v1 2023-06-11T04:11:26+02:00 The tag location problem ... Sumner, Jeremy 2023 https://dx.doi.org/10.25959/23209538.v1 https://figshare.utas.edu.au/articles/thesis/The_tag_location_problem/23209538/1 unknown University Of Tasmania https://dx.doi.org/10.25959/23209538 In Copyright http://rightsstatements.org/vocab/InC/1.0/ article-journal Text ScholarlyArticle Thesis 2023 ftdatacite https://doi.org/10.25959/23209538.v110.25959/23209538 2023-06-01T12:09:27Z This thesis provides an integrated approach to common problems with location estimation for animal tracking. Many existing techniques confound problems of location accuracy with simplistic track representations and under-utilization of available data. Traditional techniques such as speed ltering and time spent maps are illustrated with a software package developed by the author with examples of location estimates from southern elephant seals. This software enables the application and exploration of various techniques that have previously not been available in a single solution. These include ltering, temporal gridding, projection transformation and GIS integration. A novel Bayesian approach is introduced for the more general problems faced by dierent tagging techniques. This approach integrates all sources of data including movement models, environmental data and prior knowledge. This general framework is illustrated by application to satellite tag data and light-measuring tag data. Examples are used to ... Thesis Elephant Seals Southern Elephant Seals DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
description This thesis provides an integrated approach to common problems with location estimation for animal tracking. Many existing techniques confound problems of location accuracy with simplistic track representations and under-utilization of available data. Traditional techniques such as speed ltering and time spent maps are illustrated with a software package developed by the author with examples of location estimates from southern elephant seals. This software enables the application and exploration of various techniques that have previously not been available in a single solution. These include ltering, temporal gridding, projection transformation and GIS integration. A novel Bayesian approach is introduced for the more general problems faced by dierent tagging techniques. This approach integrates all sources of data including movement models, environmental data and prior knowledge. This general framework is illustrated by application to satellite tag data and light-measuring tag data. Examples are used to ...
format Thesis
author Sumner, Jeremy
spellingShingle Sumner, Jeremy
The tag location problem ...
author_facet Sumner, Jeremy
author_sort Sumner, Jeremy
title The tag location problem ...
title_short The tag location problem ...
title_full The tag location problem ...
title_fullStr The tag location problem ...
title_full_unstemmed The tag location problem ...
title_sort tag location problem ...
publisher University Of Tasmania
publishDate 2023
url https://dx.doi.org/10.25959/23209538.v1
https://figshare.utas.edu.au/articles/thesis/The_tag_location_problem/23209538/1
genre Elephant Seals
Southern Elephant Seals
genre_facet Elephant Seals
Southern Elephant Seals
op_relation https://dx.doi.org/10.25959/23209538
op_rights In Copyright
http://rightsstatements.org/vocab/InC/1.0/
op_doi https://doi.org/10.25959/23209538.v110.25959/23209538
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