Region-based Visualization in Hierarchically Clustered Ensemble Volumes

dc.contributor.authorRave, Hennesen_US
dc.contributor.authorEvers, Marinaen_US
dc.contributor.authorGerrits, Timen_US
dc.contributor.authorLinsen, Larsen_US
dc.contributor.editorLinsen, Larsen_US
dc.contributor.editorThies, Justusen_US
dc.date.accessioned2024-09-09T05:27:04Z
dc.date.available2024-09-09T05:27:04Z
dc.date.issued2024
dc.description.abstractEnsembles of simulations are generated to capture uncertainties in the simulation model and its initialization. When simulating 3D spatial phenomena, the value distributions may vary from region to region. Therefore, visualization methods need to adapt to different types and shapes of statistical distributions across regions. In the case of normal distribution, a region is well represented and visualized by the means and standard deviations. In the case of multi-modal distributions, the ensemble can be subdivided to investigate whether sub-ensembles exhibit uni-modal distributions in that region. We, therefore, propose an interactive visual analysis approach for region-based visualization within a hierarchy of sub-ensembles. The hierarchy of sub-ensembles is created using hierarchical clustering, while regions can be defined using parallel coordinates of statistical properties. The identified regions are rendered in a hierarchy of interactive volume renderers. We apply our approach to two real-world simulation ensembles to show its usability.en_US
dc.description.sectionheadersScientific Visualization
dc.description.seriesinformationVision, Modeling, and Visualization
dc.identifier.doi10.2312/vmv.20241206
dc.identifier.isbn978-3-03868-247-9
dc.identifier.pages8 pages
dc.identifier.urihttps://doi.org/10.2312/vmv.20241206
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/vmv20241206
dc.publisherThe Eurographics Associationen_US
dc.rightsAttribution 4.0 International License
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleRegion-based Visualization in Hierarchically Clustered Ensemble Volumesen_US
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