Visual Representations of Covariance for the Inverse Ocean Modeling Framework

This paper describes our progress in developing visualization techniques to explore covariance, especially within the context of the Inverse Ocean Modeling framework. The size and dimensionality of the data make this an interesting challenge. We describe ways to use common visualization techniques, such as color, to explore covariance. We also introduce a new representation for covariance, in which local covariance glyphs are combined in a more global composite view of the full covariance relationship.