@inproceedings{PB-VRVis-2017-023,
author = {Cibulski, Lena and Klarin, Borislav and Sopouch, Martin and Preim, Bernhard and Theisel, Holger and Matkovi{\'c}, Kresimir},
title = {Super-Ensembler: Interactive Visual Analysis of Data Surface Sets},
year = {2017},
booktitle = {SCCG '17: Proceedings of the 33rd Spring Conference on Computer Graphics},
editor = {SCCG},
url = {https://www.vrvis.at/publications/PB-VRVis-2017-023},
publisher = {ACM},
abstract = {Multiple-run simulations are widely used for investigation of  dynamic systems, where they combine varied input parameters and  different kinds of outputs. In this work, we focus on a  simulation type that outputs an ensemble of surfaces for each  simulation run. Multiple simulation runs, in this case, result  in a set of surface ensembles {\textendash} a super-ensemble. We propose an  advanced data model, abstract analysis tasks, and introduce an  analysis workflow for the exploration of super-ensembles. To  address the challenging exploration and analysis tasks, we  present Super-Ensembler, a visual analytics system for analysis  of data-surface collections as super-ensembles. We introduce  novel aggregation methods and corresponding visualizations. The  aggregation techniques reduce data complexity by either yielding  a super-ensemble of a simplified data type or a conventional  surface ensemble. Novel visual representations include an  overview visualization for super-ensembles, 3D multi-resolution  box plots, and intersection contours. Together with standard  views, such as scatter plots, parallel coordinates, or  histograms, they are integrated into a coordinated multiple  views framework. The newly proposed methodology is developed in  a close collaboration with experts from the automotive domain.  We evaluate our approach by means of a case study in the context  of gear transmission design. Positive feedback and reported  speed-up of the analysis indicate the usefulness of the  presented approach.},
}