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

Publication Type:

Conference Paper

Authors:

Haysn Hornbeck; Usman R. Alim

Source:

IEEE Conference on Visual Analytics Science and Technology (VAST Contest Poster) (2019)

URL:

http://hdl.handle.net/1880/113482
Abstract: 

 

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.