Abstract

In this article, we extend our scheme for topological volume skeletonization to capture the topological skeleton of a 4D volumetric field in terms of critical timing. A cyclic information drilldown framework, termed T-map, is presented, where a wide choice of information visualization techniques are deployed so that the users are allowed to repeatedly squeeze partial spatiotemporal domains of interest until the size of the target 4D volume gets fitted into an available computing storage space, prior to topologically-accentuated visualization of the pinpointed volumetric domains. A case study with datasets from atomic collision research is performed to illustrate the effectiveness of the present framework.

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