J. Edward Swan II

An Interactive Parallel Coordinates Technique Applied to a Tropical Cyclone Climate Analysis

Chad A. Steed, Patrick J. Fitzpatrick, T.J. Jankun-Kelly, Amber Yancey, and J. Edward Swan II. An Interactive Parallel Coordinates Technique Applied to a Tropical Cyclone Climate Analysis. Computers & Geosciences, 35(7):1529–1539, July 2009.

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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.

BibTeX

@Article{CG09-pc, 
  author =       {Chad A. Steed and Patrick J. Fitzpatrick and T.J. Jankun-Kelly and 
                  Amber Yancey and J. Edward {Swan~II}}, 
  title =        {An Interactive Parallel Coordinates Technique Applied to a 
                  Tropical Cyclone Climate Analysis}, 
  journal =      {Computers \& Geosciences}, 
  month =        {July}, 
  year =         2009, 
  volume =       35, 
  number =       7, 
  pages =        {1529--1539}, 
  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. 
}, 
}