Proceedings of Seventh Annual IEEE Visualization '96
DOI: 10.1109/visual.1996.568105
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LISTEN: sounding uncertainty visualization

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Cited by 34 publications
(29 citation statements)
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“…For example, as early as 1996, three uncertainty visualization results surface within visualization community. (1) Lodha et al [5] proposed a number of methods to visualize uncertainty; (2) Wittenbrink et al [6] proposed a new vector glyph to show both the magnitude and direction of uncertainty; and (3) Pang et al [7] broadly surveyed different kinds of uncertainty visualization methods and provide a formal classification of uncertainty visualization. The work of Pang et al's [7] is regarded as one of the most comprehensive surveys of current uncertainty visualization methodologies to date.…”
Section: Related Workmentioning
confidence: 99%
“…For example, as early as 1996, three uncertainty visualization results surface within visualization community. (1) Lodha et al [5] proposed a number of methods to visualize uncertainty; (2) Wittenbrink et al [6] proposed a new vector glyph to show both the magnitude and direction of uncertainty; and (3) Pang et al [7] broadly surveyed different kinds of uncertainty visualization methods and provide a formal classification of uncertainty visualization. The work of Pang et al's [7] is regarded as one of the most comprehensive surveys of current uncertainty visualization methodologies to date.…”
Section: Related Workmentioning
confidence: 99%
“…For more than a decade, much research has described approaches to handling these various aspects of uncertainties [2] [27]. The main techniques used to visualize uncertainty include adding glyphs [12] [30], adding geometry, modifying geometry, modifying attributes, animation [6][12], sonification [13], and psycho-visual approach. While these techniques have been applied to a variety of applications such as fluid flow, surface interpolants, and volumetric rendering, only a few of them were actually evaluated.…”
Section: Related Workmentioning
confidence: 99%
“…Visualization of uncertainty data has inspired a broad variety of solutions (Pang, Wittenbrink & Lodha, 1997;Lodha, Wilson & Sheehan, 1996a;Minghim & Forrest, 1995;Cedilnik & Rheingans, 2000) (Barnhill, Opitz & Pottmann, 1992) (Wittenbrink, 1995) (Lodha, Sheehan, Pang & Wittenbrink, 1996b) (Grigoryan & Rheingans, 2002). Most of these methods consider uncertainty to be a scalar quantity.…”
Section: Related Workmentioning
confidence: 99%