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

Chad A. Steed, Patrick Fitzpatrick, T.J. Jankun-Kelly, Amber N. Yancey, and J. Edward Swan II. An Interactive Parallel Coordinates Technique Applied to a Tropical Cyclone Climate Analysis. Memorandum Report #NRL/MR/7440--08-9126, Naval Research Laboratory, Stennis Space Center, Mississippi, 2008.

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Abstract

An enhanced interactive variant of the parallel coordinates visualization technique is presented. An example of its capabilities is demonstrated on a hurricane climate dataset. Its capabilities include focus+context filtering, dynamic visual queries with sliders, statistical displays, relocatable axes, axis inversion, details-on-demand, a pop-up menu interface, and aerial perspective shading. Furthermore, parallel coordinates can visually depict the same correlations that weather scientists find meaningful. It is demonstrated that these interactive parallel coordinates enhancements provide a deeper understanding when used in conjunction with traditional multiple regression analysis.

BibTeX

@TechReport{TR08-ipctca, 
  author =      {Chad A. Steed and Patrick Fitzpatrick and T.J. Jankun-Kelly and 
                 Amber N. Yancey and J. Edward {Swan~II}}, 
  title =       {An Interactive Parallel Coordinates Technique Applied to a 
                 Tropical Cyclone Climate Analysis}, 
  institution = {Naval Research Laboratory, Stennis Space Center, Mississippi}, 
  type =        {Memorandum Report}, 
  number =      {#NRL/MR/7440--08-9126}, 
  date =        {June 6}, 
  month =       {June}, 
  year =        2008, 
  abstract =    { 
An enhanced interactive variant of the parallel coordinates visualization 
technique is presented.  An example of its capabilities is demonstrated on a 
hurricane climate dataset.  Its capabilities include focus+context filtering, 
dynamic visual queries with sliders, statistical displays, relocatable axes, 
axis inversion, details-on-demand, a pop-up menu interface, and aerial 
perspective shading. Furthermore, parallel coordinates can visually depict the 
same correlations that weather scientists find meaningful. It is demonstrated 
that these interactive parallel coordinates enhancements provide a deeper 
understanding when used in conjunction with traditional multiple regression 
analysis. 
}, 
}