Color and Data

When using color as a symbol on your maps, your first priority should be to apply it analytically. As stated before: the perceptual structure of your color scheme should match the perceptual structure of your data. You should apply color based on the guidelines previously discussed in this lesson before worrying about choosing aesthetically-pleasing colors, or your audiences’ likely favorite colors, or colors that correspond to the context of the data (e.g., using a green color scheme to create a map about sustainability).

However—when appropriate—adding context to colors in your maps can benefit your readers. See the map in Figure 5.8.1 below. Rather than choosing a traditional sequential color scheme, this cartographer chose to match the map’s colors to colors of tree leaves as they turn in autumn.

A colorful map showing the 2024 Fall Foliage Prediction across the United States, with color-coded zones indicating foliage stages from No Change to Peak.
Figure 5.8.1: Map predicting fall foliage colors. It’s interactive– follow the link to try it yourself.

This approach may not always work to best represent the mathematical order of your data classes. But your maps aren’t always about dots along a number line—they represent real-world phenomena. Using color assignments that make sense (e.g., red for negative values), or are customary (e.g., yellow for residential in zoning maps) can improve the clarity and comprehensibility of your maps.

Recommended Reading

Lin, Sharon, and Jeffrey Heer. 2014. “The Right Colors Make Data Easier to Read.” Harvard Business Publishing.

Bartram, Lyn, Abhisekh Patra, and Maureen Stone. 2017. “Affective Color in Visualization.” CHI Proceeding: 1364–1374. doi:10.1145/3025453.3026041.