One popular area of research in data visualization is using streamlines to display flow fields, which depict the movement of fluids through a space. Most of the research to date has focused on external visualizations; that is, observing flow fields from outside the boundaries of the data set (e.g., Tao et al. [2013]). This research explores the efficacy of visualizing flow fields internally using an algorithm we developed to automatically compute paths through flow field interiors that provide a high degree of useful information.
['James W. Walker', 'Jun Ma', 'Scott A. Kuhl', 'Chaoli Wang']
An evaluation of flow field visualization with internal views