Guidelines
Suggest edit

Use area instead of color-saturation when the primary quantitative field cannot use position

For multivariate point-based views where the primary quantitative field cannot use position, prefer area on the primary field to improve fidelity and mitigate higher decoding error from color-saturation for readers interpreting the main measure.

  • purpose:refine
  • basis:empirical
  • quality:fidelity:use
  • lever:encoding
  • measure:multi
  • channel:area:use
  • channel:color-saturation:avoid

advice

Put the primary quantitative field in area, not color-saturation

Use area instead of color-saturation when the main quantitative field cannot be placed on x or y in a point-based multivariate view. For example, if the other fields already occupy the positional channels, vary mark area for the main quantitative field rather than mapping that field to color-saturation.

reason

Why area is the better fallback

When the main measure had to leave position, area decoding produced fewer errors than color-saturation in the study. It is still a fallback, but it is the better of the two tested non-positional choices for the main quantitative field.

Mechanism: Area preserves more reliable reading of the main quantitative field than color-saturation when position is unavailable.

Evidence: The study reports that designs using area for the primary quantitative field performed better than the corresponding designs using color-saturation for that field across tasks, with lower error rates overall (Zeng & Battle, 2023; Kim & Heer, 2018).

Notes: Position remained the strongest choice overall when it was available for the primary field.

context

Use only when position is unavailable

  • User Goal: Preserve readability of the main quantitative field in a multivariate point-based view.
  • Task: Any of the studied tasks where the same field remains the primary quantitative target.
  • Data: One primary quantitative field, one secondary quantitative field, and one categorical field.
  • Chart Setting: The primary quantitative field cannot be assigned to x or y because those channels are already committed.
  • Success Criterion: Lower error on the primary field than a color-saturation fallback.

exceptions

Do not use this when a positional encoding is still possible

Break it when: The primary quantitative field can still be moved to x or y. Why: Position-based encodings ranked above both area and color-saturation for the primary field.

costs

What you give up

Sacrifice: You still give up the precision of a positional encoding. Risk: Treating area as a full substitute for position can still leave exact reading weaker than the best positional designs. Mitigation: Use area only as the fallback after ruling out x or y for the primary field.

mistakes

Common failure mode

Mistake: Put the primary quantitative field on color-saturation after the positional channels are taken. Why it fails: That choice produced more decoding error than using area for the same field.

check

Compare the fallback encodings

Failure Sign: The main quantitative field is hard to decode once it leaves position. Quick Check: Make two versions that differ only in whether the primary field uses area or color-saturation. Stronger Test: Compare error on a few representative tasks before keeping the non-positional fallback.

fix

Change the fallback channel

  • Remap the primary quantitative field from color-saturation to area.
  • Keep the other fields on their existing channels.
  • Reconsider the full field-to-channel assignment if exact reading of the primary field remains critical.

References

Kim, Y., & Heer, J. (2018). Assessing Effects of Task and Data Distribution on the Effectiveness of Visual Encodings. Computer Graphics Forum, 37(3), 157–167. https://doi.org/10.1111/cgf.13409
Zeng, Z., & Battle, L. (2023). A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems, 1–16. https://doi.org/10.1145/3544548.3581349