Show simple item record

dc.contributor.authorPfaffelmoser, Tobiasen_US
dc.contributor.authorWestermann, Rüdigeren_US
dc.contributor.editorMario Hlawitschka and Tino Weinkaufen_US
dc.date.accessioned2014-01-26T10:52:44Z
dc.date.available2014-01-26T10:52:44Z
dc.date.issued2013en_US
dc.identifier.isbn978-3-905673-99-9en_US
dc.identifier.urihttp://dx.doi.org/10.2312/PE.EuroVisShort.EuroVisShort2013.055-059en_US
dc.description.abstractOverlaid plots of iso-contours in individual members of a scalar ensemble field are a popular concept to visualize the data uncertainty. However, such plots do not allow inferring on the spatial cumulative probability distribution of the iso-contours, and they cannot reveal distribution characteristics like spread and topology for very large amounts of contours. In this paper, we propose a new visualization technique for iso-contours in ensemble data sets to overcome these limitations. Our technique makes no assumption about a stochastic uncertainty model, rendering it suitable for arbitrary ensemble distributions. It computes a statistical summary of the ensemble over the spatial domain, including probability density values for arbitrary domain points. From this information, the uncertainty and topology of iso-contours can be determined, as well as the variations in gradient magnitude around these contours. Since the visualization is carried out on the GPU, our approach allows analyzing even very large ensemble data sets at interactive rates.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectDisplay algorithmsen_US
dc.subjectViewing algorithmsen_US
dc.titleVisualizing Contour Distributions in 2D Ensemble Dataen_US
dc.description.seriesinformationEuroVis - Short Papersen_US


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record