1996
DOI: 10.1063/1.4822401
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How Not to Lie with Visualization

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Cited by 139 publications
(91 citation statements)
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“…The relevant literature instead focuses on methods for designing [1,42,66,79,82,90,91] and evaluating [13,33,39,50,68,69,76,80,85,86,95] visualization tools. We distinguish between methods and methodology with the analogy of cooking; methods are like ingredients, whereas methodology is like a recipe.…”
Section: Introductionmentioning
confidence: 99%
“…The relevant literature instead focuses on methods for designing [1,42,66,79,82,90,91] and evaluating [13,33,39,50,68,69,76,80,85,86,95] visualization tools. We distinguish between methods and methodology with the analogy of cooking; methods are like ingredients, whereas methodology is like a recipe.…”
Section: Introductionmentioning
confidence: 99%
“…The most basic color scale is a linear transition from black to white, i.e., a gray scale. Gray scales are widely used because luminance is especially efficient at faithfully conveying quantitative data [9]. However, as discussed above, the amount of information that can be communicated through the luminance channel is limited.…”
Section: Color Scale Design and Optimizationmentioning
confidence: 99%
“…One common approach to enhance a color visualization is hence to vary hue and/or saturation in addition to luminance, e.g., using pseudo-coloring. However, pseudo-colors tend to produce unwanted artifacts, such as artificial contours [9].…”
Section: Color Scale Design and Optimizationmentioning
confidence: 99%
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“…Because the human brain perceives gray scales (luminance-based) and mixed color scales (luminance-vs. hue-based) differently in terms of patterns of contrast, graduations, clustering, shapes, texture and stereo depth (Ware 1988;Merwing and Wickens 1993; Rogowitz and Treinish 1996), the complementary maps using both color scales improve the user's ability to visually analyze the map dataset. The univariate and gray scale multivariate zoning are also useful for users with color blindness because these users may face difficulties in evaluating the hue differences in the RGB maps (Borland and Taylor 2007).…”
Section: Histogram Ranking and Visualization Techniquesmentioning
confidence: 99%