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dc.contributor.authorGunner, Richard
dc.contributor.authorHolton, Mark D.
dc.contributor.authorScantlebury, Mike D.
dc.contributor.authorvan Schalkwyk, O. Louis
dc.contributor.authorEnglish, Holly M.
dc.contributor.authorWilliams, Hannah J.
dc.contributor.authorHopkins, Phil
dc.contributor.authorQuintana, Flavio
dc.contributor.authorGómez-Laich, Agustina
dc.contributor.authorBörger, Luca
dc.contributor.authorRedcliffe, James
dc.contributor.authorYoda, Ken
dc.contributor.authorYamamoto, Takashi
dc.contributor.authorFerreira, Sam
dc.contributor.authorGovender, Danny
dc.contributor.authorViljoen, Pauli
dc.contributor.authorBruns, Angela
dc.contributor.authorBell, Stephen H.
dc.contributor.authorMarks, Nikki J.
dc.contributor.authorBennett, Nigel C.
dc.contributor.authorTonini, Mariano H.
dc.contributor.authorDuarte, Carlos M.
dc.contributor.authorvan Rooyen, Martin C.
dc.contributor.authorBertelsen, Mads F.
dc.contributor.authorTambling, Craig J.
dc.contributor.authorWilson, Rory P.
dc.date.accessioned2021-07-15T11:49:18Z
dc.date.available2021-07-15T11:49:18Z
dc.date.issued2021-07-01
dc.date.submitted2021-03-08
dc.identifier.citationGunner, R. M., Holton, M. D., Scantlebury, M. D., van Schalkwyk, O. L., English, H. M., Williams, H. J., … Wilson, R. P. (2021). Dead-reckoning animal movements in R: a reappraisal using Gundog.Tracks. Animal Biotelemetry, 9(1). doi:10.1186/s40317-021-00245-z
dc.identifier.issn2050-3385
dc.identifier.doi10.1186/s40317-021-00245-z
dc.identifier.urihttp://hdl.handle.net/10754/670243
dc.description.abstractAbstract Background Fine-scale data on animal position are increasingly enabling us to understand the details of animal movement ecology and dead-reckoning, a technique integrating motion sensor-derived information on heading and speed, can be used to reconstruct fine-scale movement paths at sub-second resolution, irrespective of the environment. On its own however, the dead-reckoning process is prone to cumulative errors, so that position estimates quickly become uncoupled from true location. Periodic ground-truthing with aligned location data (e.g., from global positioning technology) can correct for this drift between Verified Positions (VPs). We present step-by-step instructions for implementing Verified Position Correction (VPC) dead-reckoning in R using the tilt-compensated compass method, accompanied by the mathematical protocols underlying the code and improvements and extensions of this technique to reduce the trade-off between VPC rate and dead-reckoning accuracy. These protocols are all built into a user-friendly, fully annotated VPC dead-reckoning R function; Gundog.Tracks, with multi-functionality to reconstruct animal movement paths across terrestrial, aquatic, and aerial systems, provided within the Additional file 4 as well as online (GitHub). Results The Gundog.Tracks function is demonstrated on three contrasting model species (the African lion Panthera leo, the Magellanic penguin Spheniscus magellanicus, and the Imperial cormorant Leucocarbo atriceps) moving on land, in water and in air. We show the effect of uncorrected errors in speed estimations, heading inaccuracies and infrequent VPC rate and demonstrate how these issues can be addressed. Conclusions The function provided will allow anyone familiar with R to dead-reckon animal tracks readily and accurately, as the key complex issues are dealt with by Gundog.Tracks. This will help the community to consider and implement a valuable, but often overlooked method of reconstructing high-resolution animal movement paths across diverse species and systems without requiring a bespoke application.
dc.description.sponsorshipWe thank South African National and the Department of Wildlife and National Parks, Botswana, for allowing our research in the Kgalagadi Transfrontier Park. We are grateful to support and kind assistance of the staff and Rangers at the Kgalagadi National Park who were involved with this work, especially Steven Smith, Christa von Elling, Wayne Oppel and Corera Links. Pertaining to the field work carried out in Argentina, we express our gratitude to Andrea Benvenuti, Fabian Gabelli, Monserrat Del Caño, La Chola, Miguel, Estancia El Pedral and Estancia San Lorenzo for assistance in various aspects of the research. We also thank the Instituto de Biología de Organismos Marinos (IBIOMAR-CONICET) for logistical support. HME is funded by an Irish Research Council Government of Ireland postgraduate scholarship.
dc.description.sponsorshipThis research contributes to the CAASE project funded by King Abdullah University of Science and Technology (KAUST) under the KAUST Sensor Initiative. Fieldwork in the Kgalagadi Transfrontier Park was supported in part by a Department for Economy Global Challenges Research Fund grant to MS. Fieldwork within the Chubut Province was supported in part by the National Agency for Scientific and Technological Promotion of Argentina (PICT 2017-1996 and PICT 2018-1480), and the Grants-in-Aid for Scientific Research from the Japan Society for the Promotion of Science (16K18617).
dc.publisherSpringer Science and Business Media LLC
dc.relation.urlhttps://animalbiotelemetry.biomedcentral.com/articles/10.1186/s40317-021-00245-z
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.titleDead-reckoning animal movements in R: a reappraisal using Gundog.Tracks
dc.typeArticle
dc.contributor.departmentBiological and Environmental Sciences and Engineering (BESE) Division
dc.contributor.departmentMarine Science Program
dc.contributor.departmentRed Sea Research Center (RSRC)
dc.identifier.journalAnimal Biotelemetry
dc.eprint.versionPublisher's Version/PDF
dc.contributor.institutionSwansea Lab for Animal Movement, Department of Biosciences, College of Science, Swansea University, Singleton Park, Swansea, SA2 8PP, Wales, UK
dc.contributor.institutionSchool of Biological Sciences, Queen’s University Belfast, Belfast, 19 Chlorine Gardens, Belfast, BT9 5DL, Northern Ireland, UK
dc.contributor.institutionDepartment of Agriculture, Land Reform and Rural Development, Government of South Africa, Pretoria, 001, South Africa
dc.contributor.institutionDepartment of Migration, Max Planck Institute of Animal Behavior, 78315, Radolfzell, Germany
dc.contributor.institutionDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Onderstepoort, 0110, South Africa
dc.contributor.institutionSchool of Biology and Environmental Science, University College Dublin, Belfield, Dublin, Ireland
dc.contributor.institutionInstituto de Biología de Organismos Marinos (IBIOMAR), CONICET, Boulevard Brown 2915, U9120ACD, Puerto Madryn, Chubut, Argentina
dc.contributor.institutionDepartamento de Ecología, Genética y Evolución & Instituto de Ecología, Genética y Evolución de Buenos Aires (IEGEBA), CONICET, Pabellón II Ciudad Universitaria, C1428EGA, Buenos Aires, Argentina
dc.contributor.institutionCentre for Biomathematics, College of Science, Swansea University, Swansea, SA2 8PP, UK
dc.contributor.institutionGraduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, Japan
dc.contributor.institutionOrganization for the Strategic Coordination of Research and Intellectual Properties, Meiji University, Nakano, Tokyo, Japan
dc.contributor.institutionSavanna and Grassland Research Unit, South African National Parks, Scientific Services Skukuza, Kruger National Park, Skukuza, 1350, South Africa
dc.contributor.institutionVeterinary Wildlife Services, South African National Parks, 97 Memorial Road, Old Testing Grounds, Kimberley, 8301, South Africa
dc.contributor.institutionMammal Research Institute, Department of Zoology and Entomology, University of Pretoria, Pretoria, 002, South Africa
dc.contributor.institutionInstituto Andino Patagónico de Tecnologías Biológicas y Geoambientales, Grupo GEA, IPATEC-UNCO-CONICET, San Carlos de Bariloche, Río Negro, Argentina
dc.contributor.institutionCenter for Zoo and Wild Animal Health, Copenhagen Zoo, Roskildevej 38, 2000, Frederiksberg, Denmark
dc.contributor.institutionDepartment of Zoology and Entomology, University of Fort Hare Alice Campus, Ring Road, Alice, 5700, South Africa
dc.identifier.volume9
dc.identifier.issue1
kaust.personDuarte, Carlos M.
dc.date.accepted2021-05-26
dc.identifier.eid2-s2.0-85109187665
refterms.dateFOA2021-07-15T11:54:31Z
kaust.acknowledged.supportUnitKAUST Sensor Initiative
dc.date.published-online2021-07-01
dc.date.published-print2021-12


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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material
is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the
permitted use, you will need to obtain permission directly from the copyright holder.
Except where otherwise noted, this item's license is described as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.