MultiVisA: Visual Analysis of Multi-run Physical Simulation Data using Interactive Aggregated Plots

Alexey Fofonov; Lars Linsen

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Paper

MultiVisA: Visual Analysis of Multi-run Physical Simulation Data using Interactive Aggregated Plots

Topics: Coordinated and Multiple Views; Interactive Visual Interfaces for Visualization; Large Data Visualization; Scientific Visualization; Time-Dependent Visualization

In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 HUCAPP: VISIGRAPP, 62-73, 2018 , Funchal, Madeira, Portugal

Authors: Alexey Fofonov ¹ and Lars Linsen ²

Affiliations: ¹ Jacobs University, Germany ; ² Jacobs University and Westfälische Wilhelms-Universität, Germany

Keyword(s): : Ensemble Visualization, Multi-run Simulation Analysis.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Coordinated and Multiple Views ; General Data Visualization ; Interactive Visual Interfaces for Visualization ; Large Data Visualization ; Scientific Visualization ; Spatial Data Visualization ; Time-Dependent Visualization

Abstract: Physical simulations aim at modeling and computing spatio-temporal phenomena. As the simulations depend on initial conditions and/or parameter settings whose impact is to be investigated, a larger number of simulation runs is commonly executed. Analyzing all facets of such multi-run multi-field spatio-temporal simulation data poses a challenge for visualization. It requires the design of different visual encodings that aggregate information in multiple ways and at multiple abstraction levels. MultiVisA is a tool for the interactive visual analysis of multi-run data from physical simulations based on a number of aggregated plots and coordinated interactions. A histogram-based plot allows for the investigation of the distribution of function values within all simulation runs. A density-based time-series plot allows for the detection of temporal patterns and outliers within the ensemble of multiple runs for single and multiple fields. A similarity-based plot allows for the comparison o f multiple or individual runs and their behavior over time. Coordinated views allow for linking the plots to spatial visualizations in physical space. We apply MultiVisA to physical simulations from the field of climate research and astrophysics. We document the analysis process, demonstrate its effectiveness, and provide evaluations involving domain experts. (More)

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Paper citation in several formats:

Fofonov, A. and Linsen, L. (2018). MultiVisA: Visual Analysis of Multi-run Physical Simulation Data using Interactive Aggregated Plots. In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - IVAPP; ISBN 978-989-758-289-9; ISSN 2184-4321, SciTePress, pages 62-73. DOI: 10.5220/0006574300620073

@conference{ivapp18,
author={Alexey Fofonov and Lars Linsen},
title={MultiVisA: Visual Analysis of Multi-run Physical Simulation Data using Interactive Aggregated Plots},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - IVAPP},
year={2018},
pages={62-73},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006574300620073},
isbn={978-989-758-289-9},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018) - IVAPP
TI - MultiVisA: Visual Analysis of Multi-run Physical Simulation Data using Interactive Aggregated Plots
SN - 978-989-758-289-9
IS - 2184-4321
AU - Fofonov, A.
AU - Linsen, L.
PY - 2018
SP - 62
EP - 73
DO - 10.5220/0006574300620073
PB - SciTePress