Show simple item record

dc.contributor.authorEichner, C.en_US
dc.contributor.authorBittig, A.en_US
dc.contributor.authorSchumann, H.en_US
dc.contributor.authorTominski, C.en_US
dc.contributor.editorM. Pohl and H. Schumannen_US
dc.date.accessioned2014-01-27T16:03:37Z
dc.date.available2014-01-27T16:03:37Z
dc.date.issued2013en_US
dc.identifier.isbn978-3-905674-55-2en_US
dc.identifier.urihttp://dx.doi.org/10.2312/PE.EuroVAST.EuroVA13.025-029en_US
dc.description.abstractSimulations of dynamic bi-stable spatial systems usually generate large and complex data that are hard to evaluate. In this paper, we describe how visual analytics technology can help in analyzing such simulation data. The idea behind our approach is to utilize concepts of feature-based visualization. Consequently, we consider (1) interactive specification of meaningful features, (2) analytic extraction and tracking of features as well as detection of events in the features' evolution, and (3) visual representation of features with their spatial, temporal, and structural aspects. Our solution has been used by simulation experts to analyze spatio-temporal distributions of multiple types of particles in reaction-diffusion simulation data. With the help of the feature-based approach the scientists were able to understand how the spatial separation of proteins develops over time.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.6 [Computer Graphics]en_US
dc.subjectMiscellaneousen_US
dc.subjectVisualization of simulation dataen_US
dc.titleFeature-Based Visual Analytics for Studying Simulations of Dynamic Bi-Stable Spatial Systemsen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analyticsen_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record