Graph-Based Techniques for Visual Analytics of Scientific Data Sets

Transforming generic and powerful visual means into a visual interface for navigating and exploring scientific data sets requires a fully integrated pipeline of data transformation, representation, and visual mapping. This article presents TransGraph for time-varying data visualization and FlowGraph for flow field exploration. Both graph designs are hierarchical, enabling level-of-detail exploration of large scientific data in an adaptive manner.