1308 Geographical Feature-Based Visualization of 2D Time-Varying Datasets
Ryosuke ARATA, Yuriko Takeshima, Shigeo Takahashi, Issei Fujishiro · The proceedings of the JSME annual meeting · 2007
Simulated/measured datasets are frequently time-varying as well as multi-dimensional and multivariate, and thus are too difficult to be analyzed. Topological feature analysis is one of the promising approaches to visualizing such datasets effectively and efficiently. In this paper, we attempt to extract ridge/ravine circles to identify regions of interest from target scalar fields associated with time-varying 2D flow fields. A case study with simulated datasets for Karman vortex street is performed to illustrate the feasibility of the present method.