Region-based Visualization in Hierarchically Clustered Ensemble Volumes
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Date
2024
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Ensembles 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.
Description
@inproceedings{10.2312:vmv.20241206,
booktitle = {Vision, Modeling, and Visualization},
editor = {Linsen, Lars and Thies, Justus},
title = {{Region-based Visualization in Hierarchically Clustered Ensemble Volumes}},
author = {Rave, Hennes and Evers, Marina and Gerrits, Tim and Linsen, Lars},
year = {2024},
publisher = {The Eurographics Association},
ISBN = {978-3-03868-247-9},
DOI = {10.2312/vmv.20241206}
}