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|a 10.1109/TVCG.2021.3061925
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|a eng
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|a Kumpf, Alexander
|e verfasserin
|4 aut
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|a Visual Analysis of Multi-Parameter Distributions Across Ensembles of 3D Fields
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|c 2022
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|a ƒaComputermedien
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|a Date Revised 07.09.2022
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a For an ensemble of 3D multi-parameter fields, we present a visual analytics workflow to analyse whether and which parts of a selected multi-parameter distribution is present in all ensemble members. Supported by a parallel coordinate plot, a multi-parameter brush is applied to all ensemble members to select data points with similar multi-parameter distribution. By a combination of spatial sub-division and a covariance analysis of partitioned sub-sets of data points, a tight partition in multi-parameter space with reduced number of selected data points is obtained. To assess the representativeness of the selected multi-parameter distribution across the ensemble, we propose a novel extension of violin plots that can show multiple parameter distributions simultaneously. We investigate the visual design that effectively conveys (dis-)similarities in multi-parameter distributions, and demonstrate that users can quickly comprehend parameter-specific differences regarding distribution shape and representativeness from a side-by-side view of these plots. In a 3D spatial view, users can analyse and compare the spatial distribution of selected data points in different ensemble members via interval-based isosurface raycasting. In two real-world application cases we show how our approach is used to analyse the multi-parameter distributions across an ensemble of 3D fields
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|a Journal Article
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1 |
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|a Stumpfegger, Josef
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Hartl, Patrick Fabian
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Westermann, Rudiger
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on visualization and computer graphics
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|g 28(2022), 10 vom: 31. Okt., Seite 3530-3545
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|u http://dx.doi.org/10.1109/TVCG.2021.3061925
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