2010
DOI: 10.1016/j.cageo.2010.02.010
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Visualization of gridded scalar data with uncertainty in geosciences

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Cited by 54 publications
(31 citation statements)
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“…Amongst all color dimensions, saturation is often preferred because the reduction of color purity conveys more intuitively the notion of degrading data quality or confidence [31,45]. Hue is also used [39,55,56] and rainbow scale is often chosen to map ordinal uncertainty data up to seven levels-despite of its lack of perceptual ordering [6]. For value, darker lines suggest more certainty about an aspect of the underlying data.…”
Section: Visual Variables To Depict Uncertaintymentioning
confidence: 99%
“…Amongst all color dimensions, saturation is often preferred because the reduction of color purity conveys more intuitively the notion of degrading data quality or confidence [31,45]. Hue is also used [39,55,56] and rainbow scale is often chosen to map ordinal uncertainty data up to seven levels-despite of its lack of perceptual ordering [6]. For value, darker lines suggest more certainty about an aspect of the underlying data.…”
Section: Visual Variables To Depict Uncertaintymentioning
confidence: 99%
“…Similarly, visual variables such as color [10], [20], brightness [8], [21], blurriness [22], and texture [7], [23] can also be employed to encode uncertainty. The geometry based approaches are a family of techniques that adapt the basic geometry to represent uncertainty, including point [20], line [24], cube [25], and surrounding volume [10], [26]. Coninx et al [27] and Lundstrom et al [28] demonstrate that animation can be used to express uncertainty as well.…”
Section: Related Workmentioning
confidence: 99%
“…The majority of approaches has focused on visualizing the positional variation of isosurfaces and material boundaries in 3D uncertain scalar fields. The proposed strategies range from the visualization of confidence surfaces [5,21] and flowlines [22], to surface diffusion techniques [23] and surface animations [24]. The most recent approaches [25][26][27] suggest modeling the uncertainty stochastically and deriving probability distributions for particular events associated with isosurfaces, such as the crossing of these surfaces along the view rays.…”
Section: Related Workmentioning
confidence: 99%