A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle
- Autores
- Wilson, Rory P.; Holton, Mark D.; Walker, James; Shepard, Emily L. C.; Scantlebury, D. Mike; Wilson, Vianney L.; Wilson, Gwendoline I.; Tysse, Brenda; Gravenor, Mike; Ciancio Blanc, Javier Ernesto; McNarry, Melitta A.; Mackintosh, Kelly A.; Qasem, Lama; Rosell, Frank; Graf, Patricia M.; Quintana, Flavio Roberto; Gómez Laich, Agustina Marta; Sala, Juan Emilio; Mulvenna, Christina C.; Marks, Nicola J.; Jones, Mark W.
- Año de publicación
- 2016
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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).
Fil: Wilson, Rory P.. Swansea University; Reino Unido
Fil: Holton, Mark D.. Swansea University; Reino Unido
Fil: Walker, James. Swansea University; Reino Unido
Fil: Shepard, Emily L. C.. Swansea University; Reino Unido
Fil: Scantlebury, D. Mike. Queen’s University Belfast; Reino Unido
Fil: Wilson, Vianney L.. Swansea University; Reino Unido
Fil: Wilson, Gwendoline I.. Swansea University; Reino Unido
Fil: Tysse, Brenda. Swansea University; Reino Unido
Fil: Gravenor, Mike. Swansea University; Reino Unido
Fil: Ciancio Blanc, Javier Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina
Fil: McNarry, Melitta A.. Swansea University; Reino Unido
Fil: Mackintosh, Kelly A.. Swansea University; Reino Unido
Fil: Qasem, Lama. Qatar University; Qatar
Fil: Rosell, Frank. Telemark University College; Noruega
Fil: Graf, Patricia M.. Telemark University College; Noruega. University of Natural Resources and Life Sciences; Austria
Fil: Quintana, Flavio Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina
Fil: Gómez Laich, Agustina Marta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina
Fil: Sala, Juan Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina
Fil: Mulvenna, Christina C.. Swansea University; Reino Unido
Fil: Marks, Nicola J.. Swansea University; Reino Unido
Fil: Jones, Mark W.. Swansea University; Reino Unido - Materia
-
G-SPHERE
SPHERICAL PLOTS
TRI-AXIAL ACCELERATION
VISUALISATION - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/37168
Ver los metadatos del registro completo
| id |
CONICETDig_bf59e30affcd25f6da2c2c6c07979a45 |
|---|---|
| oai_identifier_str |
oai:ri.conicet.gov.ar:11336/37168 |
| network_acronym_str |
CONICETDig |
| repository_id_str |
3498 |
| network_name_str |
CONICET Digital (CONICET) |
| spelling |
A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyleWilson, Rory P.Holton, Mark D.Walker, JamesShepard, Emily L. C.Scantlebury, D. MikeWilson, Vianney L.Wilson, Gwendoline I.Tysse, BrendaGravenor, MikeCiancio Blanc, Javier ErnestoMcNarry, Melitta A.Mackintosh, Kelly A.Qasem, LamaRosell, FrankGraf, Patricia M.Quintana, Flavio RobertoGómez Laich, Agustina MartaSala, Juan EmilioMulvenna, Christina C.Marks, Nicola J.Jones, Mark W.G-SPHERESPHERICAL PLOTSTRI-AXIAL ACCELERATIONVISUALISATIONhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Background: 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).Fil: Wilson, Rory P.. Swansea University; Reino UnidoFil: Holton, Mark D.. Swansea University; Reino UnidoFil: Walker, James. Swansea University; Reino UnidoFil: Shepard, Emily L. C.. Swansea University; Reino UnidoFil: Scantlebury, D. Mike. Queen’s University Belfast; Reino UnidoFil: Wilson, Vianney L.. Swansea University; Reino UnidoFil: Wilson, Gwendoline I.. Swansea University; Reino UnidoFil: Tysse, Brenda. Swansea University; Reino UnidoFil: Gravenor, Mike. Swansea University; Reino UnidoFil: Ciancio Blanc, Javier Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; ArgentinaFil: McNarry, Melitta A.. Swansea University; Reino UnidoFil: Mackintosh, Kelly A.. Swansea University; Reino UnidoFil: Qasem, Lama. Qatar University; QatarFil: Rosell, Frank. Telemark University College; NoruegaFil: Graf, Patricia M.. Telemark University College; Noruega. University of Natural Resources and Life Sciences; AustriaFil: Quintana, Flavio Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; ArgentinaFil: Gómez Laich, Agustina Marta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; ArgentinaFil: Sala, Juan Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; ArgentinaFil: Mulvenna, Christina C.. Swansea University; Reino UnidoFil: Marks, Nicola J.. Swansea University; Reino UnidoFil: Jones, Mark W.. Swansea University; Reino UnidoBioMed Central Ltd.2016-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/37168Wilson, 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; 1-112051-3933CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1186/s40462-016-0088-3info:eu-repo/semantics/altIdentifier/url/https://movementecologyjournal.biomedcentral.com/articles/10.1186/s40462-016-0088-3info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-22T11:52:33Zoai:ri.conicet.gov.ar:11336/37168instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-22 11:52:33.386CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| dc.title.none.fl_str_mv |
A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle |
| title |
A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle |
| spellingShingle |
A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle Wilson, Rory P. G-SPHERE SPHERICAL PLOTS TRI-AXIAL ACCELERATION VISUALISATION |
| title_short |
A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle |
| title_full |
A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle |
| title_fullStr |
A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle |
| title_full_unstemmed |
A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle |
| title_sort |
A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle |
| dc.creator.none.fl_str_mv |
Wilson, Rory P. Holton, Mark D. Walker, James Shepard, Emily L. C. Scantlebury, D. Mike Wilson, Vianney L. Wilson, Gwendoline I. Tysse, Brenda Gravenor, Mike Ciancio Blanc, Javier Ernesto McNarry, Melitta A. Mackintosh, Kelly A. Qasem, Lama Rosell, Frank Graf, Patricia M. Quintana, Flavio Roberto Gómez Laich, Agustina Marta Sala, Juan Emilio Mulvenna, Christina C. Marks, Nicola J. Jones, Mark W. |
| author |
Wilson, Rory P. |
| author_facet |
Wilson, Rory P. Holton, Mark D. Walker, James Shepard, Emily L. C. Scantlebury, D. Mike Wilson, Vianney L. Wilson, Gwendoline I. Tysse, Brenda Gravenor, Mike Ciancio Blanc, Javier Ernesto McNarry, Melitta A. Mackintosh, Kelly A. Qasem, Lama Rosell, Frank Graf, Patricia M. Quintana, Flavio Roberto Gómez Laich, Agustina Marta Sala, Juan Emilio Mulvenna, Christina C. Marks, Nicola J. Jones, Mark W. |
| author_role |
author |
| author2 |
Holton, Mark D. Walker, James Shepard, Emily L. C. Scantlebury, D. Mike Wilson, Vianney L. Wilson, Gwendoline I. Tysse, Brenda Gravenor, Mike Ciancio Blanc, Javier Ernesto McNarry, Melitta A. Mackintosh, Kelly A. Qasem, Lama Rosell, Frank Graf, Patricia M. Quintana, Flavio Roberto Gómez Laich, Agustina Marta Sala, Juan Emilio Mulvenna, Christina C. Marks, Nicola J. Jones, Mark W. |
| author2_role |
author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
G-SPHERE SPHERICAL PLOTS TRI-AXIAL ACCELERATION VISUALISATION |
| topic |
G-SPHERE SPHERICAL PLOTS TRI-AXIAL ACCELERATION VISUALISATION |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
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). Fil: Wilson, Rory P.. Swansea University; Reino Unido Fil: Holton, Mark D.. Swansea University; Reino Unido Fil: Walker, James. Swansea University; Reino Unido Fil: Shepard, Emily L. C.. Swansea University; Reino Unido Fil: Scantlebury, D. Mike. Queen’s University Belfast; Reino Unido Fil: Wilson, Vianney L.. Swansea University; Reino Unido Fil: Wilson, Gwendoline I.. Swansea University; Reino Unido Fil: Tysse, Brenda. Swansea University; Reino Unido Fil: Gravenor, Mike. Swansea University; Reino Unido Fil: Ciancio Blanc, Javier Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Nacional Patagónico; Argentina Fil: McNarry, Melitta A.. Swansea University; Reino Unido Fil: Mackintosh, Kelly A.. Swansea University; Reino Unido Fil: Qasem, Lama. Qatar University; Qatar Fil: Rosell, Frank. Telemark University College; Noruega Fil: Graf, Patricia M.. Telemark University College; Noruega. University of Natural Resources and Life Sciences; Austria Fil: Quintana, Flavio Roberto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina Fil: Gómez Laich, Agustina Marta. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina Fil: Sala, Juan Emilio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Centro Nacional Patagónico. Instituto de Biología de Organismos Marinos; Argentina Fil: Mulvenna, Christina C.. Swansea University; Reino Unido Fil: Marks, Nicola J.. Swansea University; Reino Unido Fil: Jones, Mark W.. Swansea University; Reino Unido |
| description |
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). |
| publishDate |
2016 |
| dc.date.none.fl_str_mv |
2016-09 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/37168 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 2051-3933 CONICET Digital CONICET |
| url |
http://hdl.handle.net/11336/37168 |
| identifier_str_mv |
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 2051-3933 CONICET Digital CONICET |
| dc.language.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1186/s40462-016-0088-3 info:eu-repo/semantics/altIdentifier/url/https://movementecologyjournal.biomedcentral.com/articles/10.1186/s40462-016-0088-3 |
| dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
| dc.format.none.fl_str_mv |
application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
BioMed Central Ltd. |
| publisher.none.fl_str_mv |
BioMed Central Ltd. |
| dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
| reponame_str |
CONICET Digital (CONICET) |
| collection |
CONICET Digital (CONICET) |
| instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
| repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
| repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
| _version_ |
1846782217740615680 |
| score |
12.982451 |