New Scientist make an online article about our research helping biologists to understand their complex animal motion data collected from accelerometers.
Congratulations to Ed Grundy on winning the Best Paper prize at Eurovis 2009. The paper Visualization of Sensor Data from Animal Movement explores how visualization can inform biologists about animal motion through data collected from accelerometry tags. We worked with Rory Wilson’s smart tag group here at Swansea.
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.