Abstract
A highly interactive visual analysis system is presented that is based on an enhanced variant of parallel coordinates - a multivariate information visualization technique. The system combines many variations of previously described visual interaction techniques such as dynamic axis scaling, conjunctive visual queries, statistical indicators, and aerial perspective shading. The system capabilities are demonstrated on a hurricane climate data set. This climate study corroborates the notion that enhanced visual analysis with parallel coordinates provides a deeper understanding when used in conjunction with traditional multiple regression analysis.
| Original language | English |
|---|---|
| Pages (from-to) | 1529-1539 |
| Number of pages | 11 |
| Journal | Computers and Geosciences |
| Volume | 35 |
| Issue number | 7 |
| DOIs | |
| State | Published - Jul 2009 |
| Externally published | Yes |
Funding
This research is sponsored by the Naval Research Laboratory's Long-Term Training Program, by the National Oceanographic and Atmospheric Administration (NOAA) with Grants NA060AR4600181 and NA050AR4601145, and through the Northern Gulf Institute funded by Grant NA06OAR4320264. This particular project was initiated in the Information Visualization course taught at Mississippi State University by Dr. T.J. Jankun-Kelly. The authors wish to thank Dr. Phil Klotzbach of Colorado State University's Tropical Meteorology Project for providing the Atlantic tropical cyclone data set.
Keywords
- Climate study
- Geovisualization
- Hurricane
- Multivariate information visualization
- Parallel coordinates