Guidelines
Suggest edit

Use a sequential color scheme for ordered magnitude

For overview comparison of one ordered regional measure, use a sequential color scheme on a choropleth to improve readability and mitigate weak emphasis of high values for readers scanning the map.

  • purpose:refine
  • basis:heuristic
  • chart:choropleth
  • quality:readability
  • lever:encoding
  • channel:color-lightness:use
  • measure:single
  • reading-mode:overview

advice

Sequential palette choice

Use a sequential color scheme when the choropleth encodes one ordered measure and you want high values to stand out. For example, run the fill from a lighter shade to a darker shade so the darkest regions carry the highest values.

reason

Why one-direction scales fit one-direction data

A one-direction scale matches the way readers scan ordered magnitude on a map.

Mechanism: A sequential scheme gives viewers one visual direction from low to high. That makes the regions with larger values easy to locate during an overview read.

Evidence: The post recommends a sequential color scheme when attention should go to high values such as unemployment rates (Muth, 2018).

context

Use when one side of the scale matters most

  • User Goal: Show where values are low versus high.
  • Task: Scan the map for the largest values.
  • Data: One ordered regional variable.
  • Chart Setting: A choropleth is already chosen.
  • Audience: Readers doing an overview read of magnitude.
  • Success Criterion: High-value regions stand out quickly.

exceptions

Do not use when both extremes or categories matter

Break it when: The message depends on both extremes around a meaningful center, or the data is unordered categories. Why: The post recommends diverging schemes for both extremes and qualitative schemes for unordered data.

costs

Costs of a one-direction palette

Sacrifice: You do not give equal emphasis to both ends of the scale. Risk: Extra hue changes can overstate contrast. Mitigation: Let the light-to-dark progression do most of the work and keep added hue changes restrained.

mistakes

Common palette mismatch

Mistake: Use a qualitative-looking or center-splitting palette for one ordered measure. Why it fails: The map stops giving a clear low-to-high reading and high values no longer stand out cleanly.

check

Check whether the palette matches the data

Failure Sign: The highest regions do not stand out immediately. Quick Check: Read the legend from low to high and confirm that the colors move in one clear direction toward a darker end. Stronger Test: Compare the sequential draft with a non-sequential draft and keep the version that isolates high-value regions faster.

fix

Edit the palette for ordered magnitude

  • Replace the fill palette with a sequential scheme.
  • Map the lowest values to the lightest shade and the highest values to the darkest shade.
  • Remove unnecessary hue reversals or center colors.
  • Recheck the legend so it reads in one low-to-high direction.

References

Muth, L. C. (2018). What to consider when creating choropleth maps. https://www.datawrapper.de/blog/choroplethmaps