Visual Analysis of North Atlantic Hurricane Trends Using Parallel Coordinates and Statistical Techniques

The integration of automated statistical analysis capabilities with a highly interactive, multivariate visualization interface is presented in this paper. Innovative visual interaction techniques such as dynamic axis scaling, conjunctive parallel coordinates, statistical indicators, and aerial persp...

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Bibliographic Details
Main Authors: Steed, Chad A., Fitzpatrick, Patrick J., Jankun-Kelly, T. J., Swan II, J. E.
Other Authors: NAVAL RESEARCH LAB STENNIS SPACE CENTER MS MARINE GEOSCIENCES DIV
Format: Text
Language:English
Published: 2008
Subjects:
Online Access:http://www.dtic.mil/docs/citations/ADA483298
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA483298
Description
Summary:The integration of automated statistical analysis capabilities with a highly interactive, multivariate visualization interface is presented in this paper. Innovative visual interaction techniques such as dynamic axis scaling, conjunctive parallel coordinates, statistical indicators, and aerial perspective shading are exploited to enhance the utility of classical parallel coordinate plots. Moreover, the system facilitates statistical processes such as stepwise regression and correlation analysis to assist in the identification and quantification of the most significant predictors for a particular dependent variable. These capabilities are combined into a unique visualization system that is demonstrated via a North Atlantic hurricane climate study using a systematic workflow. This research corroborates the notion that enhanced parallel coordinates coupled with statistical analysis can be used for more effective knowledge discovery and confirmation in complex, real-world data sets. The original document contains color images.