Uncertainty Visualization
Lace Padilla, Matthew J. Kay, Jessica R. Hullman · Wiley StatsRef: Statistics Reference Online · 2021
Abstract While uncertainty is present in most data analysis pipelines, reasoning with uncertainty is challenging for novices and experts alike. Fortunately, researchers are making significant advancements in the communication of uncertainty. In this article, we detail new visualization methods and emerging cognitive theories that describe how we reason with visual representations of uncertainty. We describe the best practices in uncertainty visualization and the psychology behind how each approach supports viewers' judgments. This article begins with a brief overview of conventional and state‐of‐the‐art uncertainty visualization techniques. Then, we take an in‐depth look at the pros and cons of each technique using cognitive theories that describewhyandhowthe mind processes different types of uncertainty information.