MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior

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Date
2020
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Publisher
The Eurographics Association and John Wiley & Sons Ltd.
Abstract
Domain experts for collective animal behavior analyze relationships between single animal movers and groups of animals over time and space to detect emergent group properties. A common way to interpret this type of data is to visualize it as a spatio-temporal network. Collective behavior data sets are often large, and may hence result in dense and highly connected node-link diagrams, resulting in issues of node-overlap and edge clutter. In this design study, in an iterative design process, we developed glyphs as a design for seamlessly encoding relationships and movement characteristics of a single mover or clusters of movers. Based on these glyph designs, we developed a visual exploration prototype, MotionGlyphs, that supports domain experts in interactively filtering, clustering, and animating spatio-temporal networks for collective animal behavior analysis. By means of an expert evaluation, we show how MotionGlyphs supports important tasks and analysis goals of our domain experts, and we give evidence of the usefulness for analyzing spatio-temporal networks of collective animal behavior.
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@article{
10.1111:cgf.13963
, journal = {Computer Graphics Forum}, title = {{
MotionGlyphs: Visual Abstraction of Spatio-Temporal Networks in Collective Animal Behavior
}}, author = {
Cakmak, Eren
and
Schäfer, Hanna
and
Buchmüller, Juri
and
Fuchs, Johannes
and
Schreck, Tobias
and
Jordan, Alex
and
Keim, Daniel A.
}, year = {
2020
}, publisher = {
The Eurographics Association and John Wiley & Sons Ltd.
}, ISSN = {
1467-8659
}, DOI = {
10.1111/cgf.13963
} }
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