Uni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensembles (Unknown language)

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The aim of uncertainty-aware scalar field visualization is to convey the most likely case, but also the uncertainty associated with it. In scientific simulations, uncertainty can be modeled using an ensemble approach. Statistics are then drawn from the ensemble outcome to compute the most likely case and its uncertainty. However, the statistical distributions do not necessarily need to be uni-modal. We present an approach to visualize uncertain 2D scalar fields that extends existing uni-modal distributions based on colored heightfields and 2D glyphs to multi-modal ones. We compare the approaches by conducting user experiments for both the uni- and multi-modal case.

Table of contents conference proceedings

The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.

1
Towards Supporting Interpretability of Clustering Results with Uncertainty Visualization
Kinkeldey, Christoph / Korjakow, Tim / Benjamin, Jesse Josua | 2019
7
Uni- and Multi-modal Uncertainty Visualization in 2D Scalar Field Ensembles
Gebauer, Eike / Linsen, Lars | 2019
13
Detection of Confirmation and Distinction Biases in Visual Analytics Systems
Nalcaci, Atilla Alpay / Girgin, Dilara / Balki, Semih / Talay, Fatih / Boz, Hasan Alp / Balcisoy, Selim | 2019
19
Examining the Components of Trust in Map-Based Visualizations
Xiong, Cindy / Padilla, Lace M. K. / Grayson, Kent / Franconeri, Steven | 2019
25
Trust in Information Visualization
Mayr, Eva / Hynek, Nicole / Salisu, Saminu / Windhager, Florian | 2019
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