Patterns (May 2024)

Navigating color integrity in data visualization

  • Fabio Crameri,
  • Sari Hason

Journal volume & issue
Vol. 5, no. 5
p. 100972

Abstract

Read online

Color is crucial in scientific visualization, yet it is often misused. Addressing this, we think accessible and accurate techniques, such as color-blind friendly palettes and perceptually even gradients, are vital. Accountability and basic knowledge in data visualization are key in fostering a culture of color integrity, ensuring accurate and inclusive data representation.