Visualisation of Sensor Data from Animal Movement

dc.contributor.authorGrundy, Edwarden_US
dc.contributor.authorJones, Mark W.en_US
dc.contributor.authorLaramee, Robert S.en_US
dc.contributor.authorWilson, Rory P.en_US
dc.contributor.authorShepard, Emily L. C.en_US
dc.contributor.editorH.-C. Hege, I. Hotz, and T. Munzneren_US
dc.date.accessioned2014-02-21T19:50:45Z
dc.date.available2014-02-21T19:50:45Z
dc.date.issued2009en_US
dc.description.abstractA new area of biological research is identifying and grouping patterns of behaviour in wild animals by analysing data obtained through the attachment of tri-axial accelerometers. As these recording devices become smaller and less expensive their use has increased. Currently acceleration data are visualised as 2D time series plots, and analyses are based on summary statistics and the application of Fourier transforms. We develop alternate visualisations of this data so as to analyse, explore and present new patterns of animal behaviour. Our visualisations include interactive spherical scatterplots, spherical histograms, clustering methods, and feature-based state diagrams of the data. We study the application of these visualisation methods to accelerometry data from animal movement. The reaction of biologists to these visualisations is also reported.en_US
dc.description.number3en_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume28en_US
dc.identifier.issn1467-8659en_US
dc.identifier.urihttps://doi.org/10.1111/j.1467-8659.2009.01469.xen_US
dc.publisherThe Eurographics Association and Blackwell Publishing Ltd.en_US
dc.titleVisualisation of Sensor Data from Animal Movementen_US
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