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dc.contributor.authorDemšar, Urška
dc.contributor.authorLong, Jed A.
dc.date.accessioned2019-05-01T09:30:06Z
dc.date.available2019-05-01T09:30:06Z
dc.date.issued2019-04-29
dc.identifier.citationDemšar , U & Long , J A 2019 , ' Potential path volume (PPV) : a geometric estimator for space use in 3D ' , Movement Ecology , vol. 7 , 14 . https://doi.org/10.1186/s40462-019-0158-4en
dc.identifier.issn2051-3933
dc.identifier.otherPURE: 258462205
dc.identifier.otherPURE UUID: b6e70349-0b8d-4c5c-b33d-ca8cc7365048
dc.identifier.otherORCID: /0000-0001-7791-2807/work/57088506
dc.identifier.otherScopus: 85065243476
dc.identifier.otherWOS: 000466378800001
dc.identifier.urihttp://hdl.handle.net/10023/17621
dc.descriptionUrška Demšar is supported by a Leverhulme Trust Research Project Grant (RPG-2018-258).en
dc.description.abstractBackground: Many animals move in three dimensions and many animal tracking studies collect the data on their movement in three physical dimensions. However, there is a lack of approaches that consider the vertical dimension when estimating animal space use, which is problematic, as this can lead to mistakes in quantification of spatial differentiation, level of interaction between individuals or species, and the use of resources at different vertical levels. Methods: This paper introduces a new geometric estimator for space use in 3D, the Potential Path Volume (PPV). The concept is based on time geography and generalises the accessibility measure, the Potential Path Area (PPA) into three dimensions. We derive the PPV mathematically and present an algorithm for their calculation. Results: We demonstrate the use of the PPV in a case study using an open data set of 3D bird tracking data. We also calculate the size of the PPV to see how this corresponds to trip type (specifically, we calculate PPV sizes for departure/return foraging trips from/to a colony) and evaluate the effect of the temporal sampling on the PPV size. PPV sizes increase with the increased temporal resolution, but we do not see the expected pattern than return PPV should be smaller than departure PPV. We further discuss the problem of different speeds in vertical and horizontal directions that are typical for animal movement and to address this rescale the PPV with the ratio of the two speeds. Conclusions: The PPV method represents a new tool for space use analysis in movement ecology where object movement occurs in three dimensions, and one which can be extended to numerous different application areas.
dc.format.extent14
dc.language.isoeng
dc.relation.ispartofMovement Ecologyen
dc.rightsCopyright © The Author(s). 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.en
dc.subjectMovement analyticsen
dc.subjectAnimal movementen
dc.subject3Den
dc.subjectTime geographyen
dc.subjectSpace useen
dc.subjectVolumetric visualisationen
dc.subjectG Geography (General)en
dc.subject3rd-DASen
dc.subject.lccG1en
dc.titlePotential path volume (PPV) : a geometric estimator for space use in 3Den
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.Bell-Edwards Geographic Data Instituteen
dc.contributor.institutionUniversity of St Andrews.School of Geography & Sustainable Developmenten
dc.identifier.doihttps://doi.org/10.1186/s40462-019-0158-4
dc.description.statusPeer revieweden


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