UofC-Bayes: A Bayesian Approach to Visualizing Uncertainty in Likert Scales
Haysn Hornbeck, Usman Alim · 2019
Disasters demand a quick response based on incomplete information. For the Saint Himark dataset, part of the 2019 VAST Challenge, we focused on delivering a visualization which accurately conveyed that uncertainty. While our analysis was done offline, we chose techniques and algorithms which could easily be applied to realtime usage. Our visualization for the first mini-challenge was a one-screen dashboard that summarized citizen feedback.