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Visualized data often has dubious origins. One way to define data lineage is by describing the uncertainty. In addition, different forms of uncertainty and errors are also introduced as the data is derived, transformed, interpolated, and finally rendered. In the absence of integrated presentation of data and its associated uncertainty, the analysis of the visualization is incomplete at best and often leads to inaccurate or incorrect conclusions. This paper presents several techniques of presenting data together with uncertainty. The idea behind these techniques can be applied to both spatial (e.g. surface) and temporal (i.e. animation) domains. We describe these techniques of representing the truths about the data as verity visualization. The same techniques can also be used to make the users aware of the data quality or to emphasize and draw their attention to the uncertainty.

This paper is a short version of the 1996 publication "Approaches to Uncertainty Visualization". In this paper, techniques are presented to allow the visual mapping of data and uncertainty together. The term verity visualization is introduced to express the desire to truthfully express the data and describe the approach of integrating data and uncertainty visualization into a single image, rather than previous methods of displaying this information separately. The approaches presented in this paper include uncertainty glyphs, fat surfaces, surface perturbation, and surface oscillations.

data quality, uncertainty glyphs, fat surfaces, perturbations, oscillations.

glyphs, fat surfaces, pertubations, rough surfaces, oscillations, difference images, motion blur

@TechReport{	wittenbrink:1995:VVVM,
author =	"Craig Wittenbrink and Alex Pang and Suresh Lodha",
title =	"Verity Visualization: Visual Mappings",
institution =	"University of California at Santa Cruz",
year =	"1995",
}