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Visualisation of Sensor Data from Animal Movement
Author(s) -
Grundy Edward,
Jones Mark W.,
Laramee Robert S.,
Wilson Rory P.,
Shepard Emily L.C.
Publication year - 2009
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/j.1467-8659.2009.01469.x
Subject(s) - computer science , visualization , histogram , cluster analysis , movement (music) , data visualization , accelerometer , information visualization , computer graphics (images) , computer vision , artificial intelligence , data mining , pattern recognition (psychology) , image (mathematics) , philosophy , operating system , aesthetics
A 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.