Hue, chroma, saturation, colorfulness lightness, brightness
Hue, chroma, saturation, colorfulness lightness, brightness Hue, chroma, saturation, colorfulness lightness, brightness
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09.11.2012
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Sharpening • Differences are perceived better when samples are similar to the background color © Pfister/Möller 82
Take-home message • Only a small number of colors can be used effectively as nominal labels • Keep the number of colors for nominal data to less than eight, and use quiet medium grey backgrounds © Pfister/Möller 83
- Page 32 and 33: © Pfister/Möller Courtesy of Maur
- Page 34 and 35: © Pfister/Möller Courtesy of Maur
- Page 36 and 37: L vs. Luminance © Pfister/Möller
- Page 38 and 39: Get it right in black and white •
- Page 40 and 41: Controls Attention, Clutter Context
- Page 42 and 43: Model “Color blindness” • Fla
- Page 44 and 45: Color-Blindness Normal Protanope De
- Page 47 and 48: Color Models
- Page 49 and 50: Lightness Perceptual Color Spaces H
- Page 51 and 52: Munsell Atlas © Pfister/Möller Co
- Page 53: • Hue - what people think of colo
- Page 56 and 57: Lab Color Space © Pfister/Möller
- Page 58 and 59: Nominal
- Page 60 and 61: Small Areas © Pfister/Möller 60 W
- Page 62 and 63: Brightness & saturation draw attent
- Page 64 and 65: Large Areas Tufte, VDQI (Vol. 1), p
- Page 66 and 67: Large Areas 1 = Red is bigger 2 = G
- Page 68 and 69: Maps © Pfister/Möller 68 C. Ware,
- Page 70 and 71: Highlighting © Pfister/Möller Bas
- Page 72 and 73: Excel © Pfister/Möller 72 Junk Ch
- Page 74 and 75: Primary Colors • Primary color te
- Page 76 and 77: Categorical Data • Limited distin
- Page 79 and 80: Maximum Hue Separation © Pfister/M
- Page 81: Sequential © Pfister/Möller
- Page 85 and 86: Order These Colors Based on slide f
- Page 87 and 88: Order These Colors Based on slide f
- Page 90 and 91: Take-home message • Lightness and
- Page 92 and 93: Quantitative Data - to show • Med
- Page 94 and 95: ensity Map Colormaps Density Map Li
- Page 96 and 97: Rainbow Colormap © Pfister/Möller
- Page 99 and 100: Colormaps Rainbow Saturation Rogowi
- Page 101 and 102: Colormaps Rainbow Saturation Discre
- Page 103 and 104: Task: Find high & low anomalies ©
- Page 105 and 106: Task: Understand relative height ©
- Page 107 and 108: Take-home message • Quantitative
- Page 109 and 110: DANGER! �Inappropriate use of col
- Page 111 and 112: Color Unity
Sharpening<br />
• Differences are perceived better when<br />
samples are similar to the background color<br />
© Pfister/Möller<br />
82
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