Visualizing evolving scalar phenomena

Visualizing 3D continuum or time-varying simulation (scalar) datasets is diicult because of the immense amount of data to be processed and understood. Furthermore , these datasets may contain many evolving amorphous regions, making it diicult to visually follow features of interest. In this paper, we present a process for analyzing continuum datasets and review some of our previous work on feature tracking. We show how the tracking information can be used to enhance standard rendering and enable new visualizations. The tracking is demonstrated on diierent application domains including turbulence, weather and inlet design.