4.1 Color
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- 4.3.2 Sequential color scheme. Sequential color schemes are used to highlight ordered data such as income, temperature, elevation or infection rates. A well designed sequential color scheme ranges from a light color (representing low attribute values) to a dark color (representing high attribute values).
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Each color is a combination of three perceptual dimensions: hue, lightness and saturation.
4.1.1 Hue
Hue is the perceptual dimension associated with color names. Typically, we use different hues to represent different categories of data.
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Figure 4.1: An example of eight different hues. Hues are associated with color names such as green, red or blue.
Note that magentas and purples are not part of the natural visible light spectrum; instead they are a mix of reds and blues (or violets) from the spectrum’s tail ends.
4.1.2 Lightness
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Lightness (sometimes referred to as value) describes how much light reflects (or is emitted) off of a surface. Lightness is an important dimension for representing ordinal/interval/ratio data.
Figure 4.2: Eight different hues (across columns) with decreasing lightness values (across rows).
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4.1.3 Saturation
Saturation (sometimes referred to as chroma) is a measure of a color’s vividness. You can use saturated colors to help distinguish map symbols. But be careful when manipulating saturation, its property should be modified sparingly in most maps.
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Figure 4.3: Eight different hues (across columns) with decreasing saturation values (across rows).