Visual Analytics of Spatio-Temporal Uncertainties for Radiation Monitoring in a Nuclear Leakage Crisis

Deployment of radiation sensor networks provides crucial information to ensure the safety of nuclear power plants. Due to the inherent uncertainty of spatio-temporal data from multi-types of sensors, it is equally important to evaluate both the radiation information and data confidence. This paper summarizes a visual analytics approach to analyze radiation levels and various types of uncertainty from interfaces representing either single aspects or integrated information.