Navigating color integrity in data visualization.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 38800364.
- Also identified by DOI 10.1016/j.patter.2024.100972 and PMC identifier 11117063.
- Licence recorded as CC BY-NC.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
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.