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| Content Provider | ACM Digital Library |
|---|---|
| Author | Wang, Chaoli Walker, James Kuhl, Scott A. Ma, Jun |
| Abstract | 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. |
| Starting Page | 116 |
| Ending Page | 116 |
| Page Count | 1 |
| File Format | |
| ISBN | 9781450322621 |
| DOI | 10.1145/2492494.2501875 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2013-08-22 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Article |
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