Uncertainty-aware Prediction in Spatio-temporal Simulation Ensemble Visualizations

Marina Evers, Lars Linsen

2019

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-world data simulating deep-water impact of asteroids.

Paper Citation

in Harvard Style

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) - Volume 3: IVAPP; ISBN 978-989-758-354-4, SciTePress, pages 216-224. DOI: 10.5220/0007344702160224

in Bibtex Style

@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) - Volume 3: IVAPP},
year={2019},
pages={216-224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007344702160224},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 3: IVAPP
TI - Uncertainty-aware Prediction in Spatio-temporal Simulation Ensemble Visualizations
SN - 978-989-758-354-4
AU - Evers M.
AU - Linsen L.
PY - 2019
SP - 216
EP - 224
DO - 10.5220/0007344702160224
PB - SciTePress