Topological Methods for Flow Visualization
GERIK SCHEUERMANN and XAVIER TRICOCHE, University of Kaiserslautern
17.1 Introduction
Numerical simulations provide scientists and engineers with an increasing amount of vector and tensor data. The visualization of these large multivariate datasets is therefore a challenging task. Topological methods efficiently extract the structure of the corresponding fields to come up with an accurate and synthetic depiction of the underlying flow. Practically, the process consists of partitioning the domain of study into subregions of homogeneous qualitative behavior. Extracting and visualizing the corresponding graph permits conveyance of the most meaningful properties of multivariate datasets.
Vector ...
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