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Authors: Marina Evers and Lars Linsen

Affiliation: Westfälische Wilhelms-Universität Münster and Germany

Keyword(s): Uncertainty Visualization, Ensemble Visualization, Parameter-Space Visualization, Volume Visualization.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; High-Dimensional Data and Dimensionality Reduction ; Multi-Field Visualization ; Scientific Visualization ; Spatial Data Visualization ; Uncertainty Visualization ; Volume Visualization

Abstract: Spatio-temporal simulation ensembles are used to investigate the dependence of the simulation behavior on input parameters. Running simulations for a large number of input parameter settings is computationally expensive. We propose a scheme for exploring the parameter space using predictions of simulation outcomes and estimating the uncertainty in the predictions. The prediction approximates the simulation result by interpolating feature vectors of existing runs. The feature vectors are used to compute similarities between simulation runs facilitating visualization of the entire ensemble within a 2D (or 1D-over-time) multi-dimensional scaling embedding. Uncertainties of the prediction are computed based on distance, interpolation and diversity, which are visually encoded by an uncertainty band in the embedding. To guide the user to choose suitable parameter settings for prediction, we also propose a parameter-space visualization of the uncertainty. The approach is applied to real-wor ld data simulating deep-water impact of asteroids. (More)

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Paper citation in several formats:
Evers, M. and Linsen, L. (2019). Uncertainty-aware Prediction in Spatio-temporal Simulation Ensemble Visualizations. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - IVAPP; ISBN 978-989-758-354-4; ISSN 2184-4321, SciTePress, pages 216-224. DOI: 10.5220/0007344702160224

@conference{ivapp19,
author={Marina Evers and Lars Linsen},
title={Uncertainty-aware Prediction in Spatio-temporal Simulation Ensemble Visualizations},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - IVAPP},
year={2019},
pages={216-224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007344702160224},
isbn={978-989-758-354-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - IVAPP
TI - Uncertainty-aware Prediction in Spatio-temporal Simulation Ensemble Visualizations
SN - 978-989-758-354-4
IS - 2184-4321
AU - Evers, M.
AU - Linsen, L.
PY - 2019
SP - 216
EP - 224
DO - 10.5220/0007344702160224
PB - SciTePress

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