Visualizing scalar volumetric data with uncertainty

Visualizing scalar volumetric data with uncertainty

Increasingly, more importance is placed on the uncertainty information of data being displayed. This paper focuses on techniques for visualizing 3D scalar data sets with corresponding uncertainty information at each point which is also represented as a scalar value. In Djurcilov (in: D. Ebert, J.M. Favre, R. Peikert (Eds.), Data Visualization 2001, Springer, Berlin, 2001), we presented two gene...

Analyzing and Visualizing Multivariate Volumetric Scalar Data and Their Uncertainties

Data sets from the real world and most scientific simulations are known to be imperfect, often incorporating uncertainty information. Exploration and analysis of such variable data can lead to inaccurate or even incorrect results and inferences. As a powerful tool to communicate the data with users, an effective visualization system should present and inform users of the uncertainty information...

Visualizing Data with Bounded Uncertainty

Visualization is a powerful way to facilitate data analysis, but it is crucial that visualization systems explicitly convey the presence, nature, and degree of uncertainty to users. Otherwise, there is a danger that data will be falsely interpreted, potentially leading to inaccurate conclusions. A common method for denoting uncertainty is to use error bars or similar techniques designed to conv...

Surface Projection Method for Visualizing Volumetric Data

Visualizing Contour Distributions in Scalar Ensemble Data

Overlaid plots of iso-contours in individual members of a scalar ensemble field are a popular concept to visualize the data uncertainty. However, such plots do not allow concluding on the spatial cumulative probability distribution of the iso-contours, and they cannot reveal distribution characteristics like spread and topology for huge amounts of contours. In this paper, we propose a new visua...