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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.
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Chaoli Wang (2018) studied this question.
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