Exploring Uncertainty Visualization in Large Data Sets
Source: University of California
This is a proposal to renew and extend the current project with LANL on uncertainty visualization of large data sets. The size of the data sets and the uncertainty in the data sets come from the fact that one is dealing with ensemble data sets. These are usually from monte carlo simulations where each output (out of many runs) represents a possible solution. The degree of agreement (or disagreement) provides some indications of certainty (or uncertainty) about the results. Because monte carlo simulations can potentially involve large number of repetitions, the total data size can very quickly get very large even for relatively small spatial and temporal resolutions.