Feature-Driven Visual Analytics of Chaotic Parameter-Dependent Movement

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dc.contributor.authorLuboschik, Martinen_US
dc.contributor.authorRöhlig, Martinen_US
dc.contributor.authorBittig, Arne T.en_US
dc.contributor.authorAndrienko, Nataliaen_US
dc.contributor.authorSchumann, Heidrunen_US
dc.contributor.authorTominski, Christianen_US
dc.contributor.editorH. Carr, K.-L. Ma, and G. Santuccien_US
dc.date.accessioned2015-05-22T12:52:08Z
dc.date.available2015-05-22T12:52:08Z
dc.date.issued2015en_US
dc.description.abstractAnalyzing movements in their spatial and temporal context is a complex task. We are additionally interested in understanding the movements' dependency on parameters that govern the processes behind the movement. We propose a visual analytics approach combining analytic, visual, and interactive means to deal with the added complexity. The key idea is to perform an analytical extraction of features that capture distinct movement characteristics. Different parameter configurations and extracted features are then visualized in a compact fashion to facilitate an overview of the data. Interaction enables the user to access details about features, to compare features, and to relate features back to the original movement. We instantiate our approach with a repository of more than twenty accepted and novel features to help analysts in gaining insight into simulations of chaotic behavior of thousands of entities over thousands of data points. Domain experts applied our solution successfully to study dynamic groups in such movements in relation to thousands of parameter configurations.en_US
dc.description.number3en_US
dc.description.sectionheadersTime-series and Topologyen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.volume34en_US
dc.identifier.doi10.1111/cgf.12654en_US
dc.identifier.pages421-430en_US
dc.identifier.urihttps://doi.org/10.1111/cgf.12654en_US
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectHumanen_US
dc.subjectcentered computingen_US
dc.subjectVisualizationen_US
dc.subjectVisualization application domainsen_US
dc.subjectVisual analyticsen_US
dc.titleFeature-Driven Visual Analytics of Chaotic Parameter-Dependent Movementen_US
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34-Issue 3
EuroVis15: Eurographics Conference on Visualization