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Step by step: reconstruction of terrestrial animal movement paths by dead-reckoning / Mark, Jones; Mark, Holton; Rory, Wilson

Movement Ecology, Volume: 3, Issue: 1

Swansesa University Authors: Mark, Jones, Mark, Holton, Rory, Wilson

Abstract

Background: Research on wild animal ecology is increasingly employing GPS telemetry in order to determine animal movement. However, GPS systems record position intermittently, providing no information on latent position or track tortuosity. High frequency GPS have high power requirements, which nece...

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Published in: Movement Ecology
ISSN: 2051-3933
Published: 2015
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URI: https://cronfa.swan.ac.uk/Record/cronfa21955
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fullrecord <?xml version="1.0"?><rfc1807><datestamp>2017-05-22T16:10:39.9846509</datestamp><bib-version>v2</bib-version><id>21955</id><entry>2015-06-04</entry><title>Step by step: reconstruction of terrestrial animal movement paths by dead-reckoning</title><swanseaauthors><author><sid>2e1030b6e14fc9debd5d5ae7cc335562</sid><ORCID>0000-0001-8991-1190</ORCID><firstname>Mark</firstname><surname>Jones</surname><name>Mark Jones</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>0e1d89d0cc934a740dcd0a873aed178e</sid><ORCID>0000-0001-8834-3283</ORCID><firstname>Mark</firstname><surname>Holton</surname><name>Mark Holton</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>2015-06-04</date><deptcode>SCS</deptcode><abstract>Background: Research on wild animal ecology is increasingly employing GPS telemetry in order to determine animal movement. However, GPS systems record position intermittently, providing no information on latent position or track tortuosity. High frequency GPS have high power requirements, which necessitates large batteries (often effectively precluding their use on small animals) or reduced deployment duration. Dead-reckoning is an alternative approach which has the potential to &#x2018;fill in the gaps&#x2019; between less resolute forms of telemetry without incurring the power costs. However, although this method has been used in aquatic environments, no explicit demonstration of terrestrial dead-reckoning has been presented.Results: We perform a simple validation experiment to assess the rate of error accumulation in terrestrial dead-reckoning. In addition, examples of successful implementation of dead-reckoning are given using data from the domestic dog Canus lupus, horse Equus ferus, cow Bos taurus and wild badger Meles meles.Conclusions: This study documents how terrestrial dead-reckoning can be undertaken, describing derivation of heading from tri-axial accelerometer and tri-axial magnetometer data, correction for hard and soft iron distortions on the magnetometer output, and presenting a novel correction procedure to marry dead-reckoned paths to ground-truthed positions. This study is the first explicit demonstration of terrestrial dead-reckoning, which provides a workable method of deriving the paths of animals on a step-by-step scale. The wider implications of this method for the understanding of animal movement ecology are discussed.</abstract><type>Journal Article</type><journal>Movement Ecology</journal><volume>3</volume><journalNumber>1</journalNumber><publisher/><issnElectronic>2051-3933</issnElectronic><keywords/><publishedDay>15</publishedDay><publishedMonth>9</publishedMonth><publishedYear>2015</publishedYear><publishedDate>2015-09-15</publishedDate><doi>10.1186/s40462-015-0055-4</doi><url>http://www.movementecologyjournal.com/content/3/1/23</url><notes></notes><college>COLLEGE NANME</college><department>Computer Science</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SCS</DepartmentCode><institution>Swansea University</institution><lastEdited>2017-05-22T16:10:39.9846509</lastEdited><Created>2015-06-04T09:14:41.4697777</Created><path><level id="1">College of Science</level><level id="2">Computer Science</level></path><authors><author><firstname>O. R.</firstname><surname>Bidder</surname><order>1</order></author><author><firstname>J. S.</firstname><surname>Walker</surname><order>2</order></author><author><firstname>M. W.</firstname><surname>Jones</surname><order>3</order></author><author><firstname>M. D.</firstname><surname>Holton</surname><order>4</order></author><author><firstname>P.</firstname><surname>Urge</surname><order>5</order></author><author><firstname>D. M.</firstname><surname>Scantlebury</surname><order>6</order></author><author><firstname>N. J.</firstname><surname>Marks</surname><order>7</order></author><author><firstname>E. A.</firstname><surname>Magowan</surname><order>8</order></author><author><firstname>I. E.</firstname><surname>Maguire</surname><order>9</order></author><author><firstname>R. P.</firstname><surname>Wilson</surname><order>10</order></author><author><firstname>Mark</firstname><surname>Jones</surname><orcid>0000-0001-8991-1190</orcid><order>11</order></author><author><firstname>Mark</firstname><surname>Holton</surname><orcid>0000-0001-8834-3283</orcid><order>12</order></author><author><firstname>Rory</firstname><surname>Wilson</surname><orcid>0000-0003-3177-0177</orcid><order>13</order></author></authors><documents><document><filename>0021955-12042017170646.pdf</filename><originalFilename>stepbystep.pdf</originalFilename><uploaded>2017-04-12T17:06:46.1270000</uploaded><type>Output</type><contentLength>2765202</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><action/><embargoDate>2015-09-15T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents></rfc1807>
spelling 2017-05-22T16:10:39.9846509 v2 21955 2015-06-04 Step by step: reconstruction of terrestrial animal movement paths by dead-reckoning 2e1030b6e14fc9debd5d5ae7cc335562 0000-0001-8991-1190 Mark Jones Mark Jones true false 0e1d89d0cc934a740dcd0a873aed178e 0000-0001-8834-3283 Mark Holton Mark Holton true false 017bc6dd155098860945dc6249c4e9bc 0000-0003-3177-0177 Rory Wilson Rory Wilson true false 2015-06-04 SCS Background: Research on wild animal ecology is increasingly employing GPS telemetry in order to determine animal movement. However, GPS systems record position intermittently, providing no information on latent position or track tortuosity. High frequency GPS have high power requirements, which necessitates large batteries (often effectively precluding their use on small animals) or reduced deployment duration. Dead-reckoning is an alternative approach which has the potential to ‘fill in the gaps’ between less resolute forms of telemetry without incurring the power costs. However, although this method has been used in aquatic environments, no explicit demonstration of terrestrial dead-reckoning has been presented.Results: We perform a simple validation experiment to assess the rate of error accumulation in terrestrial dead-reckoning. In addition, examples of successful implementation of dead-reckoning are given using data from the domestic dog Canus lupus, horse Equus ferus, cow Bos taurus and wild badger Meles meles.Conclusions: This study documents how terrestrial dead-reckoning can be undertaken, describing derivation of heading from tri-axial accelerometer and tri-axial magnetometer data, correction for hard and soft iron distortions on the magnetometer output, and presenting a novel correction procedure to marry dead-reckoned paths to ground-truthed positions. This study is the first explicit demonstration of terrestrial dead-reckoning, which provides a workable method of deriving the paths of animals on a step-by-step scale. The wider implications of this method for the understanding of animal movement ecology are discussed. Journal Article Movement Ecology 3 1 2051-3933 15 9 2015 2015-09-15 10.1186/s40462-015-0055-4 http://www.movementecologyjournal.com/content/3/1/23 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2017-05-22T16:10:39.9846509 2015-06-04T09:14:41.4697777 College of Science Computer Science O. R. Bidder 1 J. S. Walker 2 M. W. Jones 3 M. D. Holton 4 P. Urge 5 D. M. Scantlebury 6 N. J. Marks 7 E. A. Magowan 8 I. E. Maguire 9 R. P. Wilson 10 Mark Jones 0000-0001-8991-1190 11 Mark Holton 0000-0001-8834-3283 12 Rory Wilson 0000-0003-3177-0177 13 0021955-12042017170646.pdf stepbystep.pdf 2017-04-12T17:06:46.1270000 Output 2765202 application/pdf Version of Record true 2015-09-15T00:00:00.0000000 true eng
title Step by step: reconstruction of terrestrial animal movement paths by dead-reckoning
spellingShingle Step by step: reconstruction of terrestrial animal movement paths by dead-reckoning
Mark, Jones
Mark, Holton
Rory, Wilson
title_short Step by step: reconstruction of terrestrial animal movement paths by dead-reckoning
title_full Step by step: reconstruction of terrestrial animal movement paths by dead-reckoning
title_fullStr Step by step: reconstruction of terrestrial animal movement paths by dead-reckoning
title_full_unstemmed Step by step: reconstruction of terrestrial animal movement paths by dead-reckoning
title_sort Step by step: reconstruction of terrestrial animal movement paths by dead-reckoning
author_id_str_mv 2e1030b6e14fc9debd5d5ae7cc335562
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author_id_fullname_str_mv 2e1030b6e14fc9debd5d5ae7cc335562_***_Mark, Jones
0e1d89d0cc934a740dcd0a873aed178e_***_Mark, Holton
017bc6dd155098860945dc6249c4e9bc_***_Rory, Wilson
author Mark, Jones
Mark, Holton
Rory, Wilson
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url http://www.movementecologyjournal.com/content/3/1/23
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description Background: Research on wild animal ecology is increasingly employing GPS telemetry in order to determine animal movement. However, GPS systems record position intermittently, providing no information on latent position or track tortuosity. High frequency GPS have high power requirements, which necessitates large batteries (often effectively precluding their use on small animals) or reduced deployment duration. Dead-reckoning is an alternative approach which has the potential to ‘fill in the gaps’ between less resolute forms of telemetry without incurring the power costs. However, although this method has been used in aquatic environments, no explicit demonstration of terrestrial dead-reckoning has been presented.Results: We perform a simple validation experiment to assess the rate of error accumulation in terrestrial dead-reckoning. In addition, examples of successful implementation of dead-reckoning are given using data from the domestic dog Canus lupus, horse Equus ferus, cow Bos taurus and wild badger Meles meles.Conclusions: This study documents how terrestrial dead-reckoning can be undertaken, describing derivation of heading from tri-axial accelerometer and tri-axial magnetometer data, correction for hard and soft iron distortions on the magnetometer output, and presenting a novel correction procedure to marry dead-reckoned paths to ground-truthed positions. This study is the first explicit demonstration of terrestrial dead-reckoning, which provides a workable method of deriving the paths of animals on a step-by-step scale. The wider implications of this method for the understanding of animal movement ecology are discussed.
published_date 2015-09-15T03:36:45Z
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