UofC-Bayes: A Bayesian Approach to Visualizing Uncertainty in Radiation Data

Publication Type:

Conference Paper


IEEE Conference on Visual Analytics Science and Technology (VAST Contest Poster) (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 real-time usage. Our visualization for the second mini-challenge was two separate screens for two separate tasks: a broad overview of radiation levels, and a detailed look at specific sensors.

Follow link above to access poster and writeup.