40462_2016_88_MOESM1_ESM.docx (5.17 MB)

Additional file 1: of A spherical-plot solution to linking acceleration metrics with animal performance, state, behaviour and lifestyle

Download (5.17 MB)
journal contribution
posted on 23.09.2016, 05:00 by Rory Wilson, Mark Holton, James Walker, Emily Shepard, D. Scantlebury, Vianney Wilson, Gwendoline Wilson, Brenda Tysse, Mike Gravenor, Javier Ciancio, Melitta McNarry, Kelly Mackintosh, Lama Qasem, Frank Rosell, Patricia Graf, Flavio Quintana, Agustina Gomez-Laich, Juan-Emilio Sala, Christina Mulvenna, Nicola Marks, Mark Jones
Methods. Changing shapes for frequency distributions. Figure S1. A 3-d scatter plot (g-sphere) of static (orthogonal) tri-axial acceleration data. Figure S2. A spherical coordinate’s visualization of (a) postural state plotted onto the surface of a sphere in three-dimensional space, (b) points joined together in chronological order, (c) projecting the data outwards from the sphere according to other parameters. Figure S3. A spherical histogram (Dubai plot) visualization to depict frequent postural states. Figure S4. Histogram, Frequency shape (stacked), fixed shape (skittle) from urchin plots. Figure S5. G-urchin of skittle shape and stacked frequency urchins emitted from the centre of each facet of the sphere. Figure S6. Overview of user interface for a program in which spherical plots can be created. Figure S7. G-spheres and comparable g-urchins derived from a rod-mounted tri-axial accelerometer showing fly-fishing visualisations. (DOCX 5289 kb)


Engineering and Physical Sciences Research Council