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dc.contributor.author
Wilson, Rory P.
dc.contributor.author
Holton, Mark D.
dc.contributor.author
Walker, James
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Shepard, Emily L. C.
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Scantlebury, D. Mike
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Wilson, Vianney L.
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Wilson, Gwendoline I.
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Tysse, Brenda
dc.contributor.author
Gravenor, Mike
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Ciancio Blanc, Javier Ernesto
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McNarry, Melitta A.
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Mackintosh, Kelly A.
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Qasem, Lama
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Rosell, Frank
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Graf, Patricia M.
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Quintana, Flavio Roberto
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Gómez Laich, Agustina Marta
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Sala, Juan Emilio
dc.contributor.author
Mulvenna, Christina C.
dc.contributor.author
Marks, Nicola J.
dc.contributor.author
Jones, Mark W.
dc.date.available
2018-02-26T20:36:03Z
dc.date.issued
2016-09
dc.identifier.citation
Wilson, Rory P.; Holton, Mark D.; Walker, James; Shepard, Emily L. C.; Scantlebury, D. Mike; et al.; A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle; BioMed Central Ltd.; Movement Ecology; 4; 22; 9-2016; 1-11
dc.identifier.issn
2051-3933
dc.identifier.uri
http://hdl.handle.net/11336/37168
dc.description.abstract
Background: We are increasingly using recording devices with multiple sensors operating at high frequencies to produce large volumes of data which are problematic to interpret. A particularly challenging example comes from studies on animals and humans where researchers use animal-attached accelerometers on moving subjects to attempt to quantify behaviour, energy expenditure and condition. Results: The approach taken effectively concatinated three complex lines of acceleration into one visualization that highlighted patterns that were otherwise not obvious. The summation of data points within sphere facets and presentation into histograms on the sphere surface effectively dealt with data occlusion. Further frequency binning of data within facets and representation of these bins as discs on spines radiating from the sphere allowed patterns in dynamic body accelerations (DBA) associated with different postures to become obvious. Method: We examine the extent to which novel, gravity-based spherical plots can produce revealing visualizations to incorporate the complexity of such multidimensional acceleration data using a suite of different acceleration-derived metrics with a view to highlighting patterns that are not obvious using current approaches. The basis for the visualisation involved three-dimensional plots of the smoothed acceleration values, which then occupied points on the surface of a sphere. This sphere was divided into facets and point density within each facet expressed as a histogram. Within each facet-dependent histogram, data were also grouped into frequency bins of any desirable parameters, most particularly dynamic body acceleration (DBA), which were then presented as discs on a central spine radiating from the facet. Greater radial distances from the sphere surface indicated greater DBA values while greater disc diameter indicated larger numbers of data points with that particular value. Conclusions: We indicate how this approach links behaviour and proxies for energetics and can inform our identification and understanding of movement-related processes, highlighting subtle differences in movement and its associated energetics. This approach has ramifications that should expand to areas as disparate as disease identification, lifestyle, sports practice and wild animal ecology. UCT Science Faculty Animal Ethics 2014/V10/PR (valid until 2017).
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
BioMed Central Ltd.
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
G-Sphere
dc.subject
Spherical Plots
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Tri-Axial Acceleration
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Visualisation
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Otras Ciencias Biológicas
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Ciencias Biológicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-02-22T14:28:41Z
dc.journal.volume
4
dc.journal.number
22
dc.journal.pagination
1-11
dc.journal.pais
Reino Unido
dc.description.fil
Fil: Wilson, Rory P.. Swansea University; Reino Unido
dc.description.fil
Fil: Holton, Mark D.. Swansea University; Reino Unido
dc.description.fil
Fil: Walker, James. Swansea University; Reino Unido
dc.description.fil
Fil: Shepard, Emily L. C.. Swansea University; Reino Unido
dc.description.fil
Fil: Scantlebury, D. Mike. Queen’s University Belfast; Reino Unido
dc.description.fil
Fil: Wilson, Vianney L.. Swansea University; Reino Unido
dc.description.fil
Fil: Wilson, Gwendoline I.. Swansea University; Reino Unido
dc.description.fil
Fil: Tysse, Brenda. Swansea University; Reino Unido
dc.description.fil
Fil: Gravenor, Mike. Swansea University; Reino Unido
dc.description.fil
Fil: Ciancio Blanc, Javier Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
dc.description.fil
Fil: McNarry, Melitta A.. Swansea University; Reino Unido
dc.description.fil
Fil: Mackintosh, Kelly A.. Swansea University; Reino Unido
dc.description.fil
Fil: Qasem, Lama. Qatar University; Qatar
dc.description.fil
Fil: Rosell, Frank. Telemark University College; Noruega
dc.description.fil
Fil: Graf, Patricia M.. Telemark University College; Noruega. University of Natural Resources and Life Sciences; Austria
dc.description.fil
Fil: Quintana, Flavio Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
dc.description.fil
Fil: Gómez Laich, Agustina Marta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
dc.description.fil
Fil: Sala, Juan Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
dc.description.fil
Fil: Mulvenna, Christina C.. Swansea University; Reino Unido
dc.description.fil
Fil: Marks, Nicola J.. Swansea University; Reino Unido
dc.description.fil
Fil: Jones, Mark W.. Swansea University; Reino Unido
dc.journal.title
Movement Ecology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1186/s40462-016-0088-3


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