No Cover Image

Journal article 1066 views 133 downloads

Making sense of ultrahigh-resolution movement data: A new algorithm for inferring sites of interest

Rhys Munden, Luca Borger Orcid Logo, Rory Wilson Orcid Logo, James Redcliffe, Anne Loison, Mathieu Garel, Jonathan R. Potts

Ecology and Evolution

Swansea University Authors: Luca Borger Orcid Logo, Rory Wilson Orcid Logo

  • 48121.pdf

    PDF | Version of Record

    This is an open access article under the terms of the Creative Commons Attribution License.

    Download (934.01KB)

Check full text

DOI (Published version): 10.1002/ece3.4721

Published in: Ecology and Evolution
ISSN: 20457758
Published: 2018
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa48121
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2019-01-09T14:01:57Z
last_indexed 2021-07-17T03:08:18Z
id cronfa48121
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2021-07-16T14:41:14.9693151</datestamp><bib-version>v2</bib-version><id>48121</id><entry>2019-01-09</entry><title>Making sense of ultrahigh-resolution movement data: A new algorithm for inferring sites of interest</title><swanseaauthors><author><sid>8416d0ffc3cccdad6e6d67a455e7c4a2</sid><ORCID>0000-0001-8763-5997</ORCID><firstname>Luca</firstname><surname>Borger</surname><name>Luca Borger</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>017bc6dd155098860945dc6249c4e9bc</sid><ORCID>0000-0003-3177-0177</ORCID><firstname>Rory</firstname><surname>Wilson</surname><name>Rory Wilson</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-01-09</date><deptcode>SBI</deptcode><abstract/><type>Journal Article</type><journal>Ecology and Evolution</journal><volume/><journalNumber/><paginationStart/><paginationEnd/><publisher/><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>20457758</issnPrint><issnElectronic/><keywords/><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2018</publishedYear><publishedDate>2018-12-31</publishedDate><doi>10.1002/ece3.4721</doi><url/><notes/><college>COLLEGE NANME</college><department>Biosciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SBI</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2021-07-16T14:41:14.9693151</lastEdited><Created>2019-01-09T12:01:15.2344599</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Biosciences</level></path><authors><author><firstname>Rhys</firstname><surname>Munden</surname><order>1</order></author><author><firstname>Luca</firstname><surname>Borger</surname><orcid>0000-0001-8763-5997</orcid><order>2</order></author><author><firstname>Rory</firstname><surname>Wilson</surname><orcid>0000-0003-3177-0177</orcid><order>3</order></author><author><firstname>James</firstname><surname>Redcliffe</surname><order>4</order></author><author><firstname>Anne</firstname><surname>Loison</surname><order>5</order></author><author><firstname>Mathieu</firstname><surname>Garel</surname><order>6</order></author><author><firstname>Jonathan R.</firstname><surname>Potts</surname><order>7</order></author></authors><documents><document><filename>0048121-09012019120447.pdf</filename><originalFilename>48121.pdf</originalFilename><uploaded>2019-01-09T12:04:47.0670000</uploaded><type>Output</type><contentLength>946933</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2018-12-26T00:00:00.0000000</embargoDate><documentNotes>This is an open access article under the terms of the Creative Commons Attribution License.</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807>
spelling 2021-07-16T14:41:14.9693151 v2 48121 2019-01-09 Making sense of ultrahigh-resolution movement data: A new algorithm for inferring sites of interest 8416d0ffc3cccdad6e6d67a455e7c4a2 0000-0001-8763-5997 Luca Borger Luca Borger true false 017bc6dd155098860945dc6249c4e9bc 0000-0003-3177-0177 Rory Wilson Rory Wilson true false 2019-01-09 SBI Journal Article Ecology and Evolution 20457758 31 12 2018 2018-12-31 10.1002/ece3.4721 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University 2021-07-16T14:41:14.9693151 2019-01-09T12:01:15.2344599 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Rhys Munden 1 Luca Borger 0000-0001-8763-5997 2 Rory Wilson 0000-0003-3177-0177 3 James Redcliffe 4 Anne Loison 5 Mathieu Garel 6 Jonathan R. Potts 7 0048121-09012019120447.pdf 48121.pdf 2019-01-09T12:04:47.0670000 Output 946933 application/pdf Version of Record true 2018-12-26T00:00:00.0000000 This is an open access article under the terms of the Creative Commons Attribution License. true eng
title Making sense of ultrahigh-resolution movement data: A new algorithm for inferring sites of interest
spellingShingle Making sense of ultrahigh-resolution movement data: A new algorithm for inferring sites of interest
Luca Borger
Rory Wilson
title_short Making sense of ultrahigh-resolution movement data: A new algorithm for inferring sites of interest
title_full Making sense of ultrahigh-resolution movement data: A new algorithm for inferring sites of interest
title_fullStr Making sense of ultrahigh-resolution movement data: A new algorithm for inferring sites of interest
title_full_unstemmed Making sense of ultrahigh-resolution movement data: A new algorithm for inferring sites of interest
title_sort Making sense of ultrahigh-resolution movement data: A new algorithm for inferring sites of interest
author_id_str_mv 8416d0ffc3cccdad6e6d67a455e7c4a2
017bc6dd155098860945dc6249c4e9bc
author_id_fullname_str_mv 8416d0ffc3cccdad6e6d67a455e7c4a2_***_Luca Borger
017bc6dd155098860945dc6249c4e9bc_***_Rory Wilson
author Luca Borger
Rory Wilson
author2 Rhys Munden
Luca Borger
Rory Wilson
James Redcliffe
Anne Loison
Mathieu Garel
Jonathan R. Potts
format Journal article
container_title Ecology and Evolution
publishDate 2018
institution Swansea University
issn 20457758
doi_str_mv 10.1002/ece3.4721
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
document_store_str 1
active_str 0
published_date 2018-12-31T03:58:24Z
_version_ 1763752966621233152
score 11.013082

Similar Items