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

Abstract

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.

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Document Details

Document Type
Technical Report
Publication Date
Jul 07, 2008
Accession Number
ADA483298

Entities

People

  • Chad A. Steed
  • J. E. Swan Ii
  • Patrick J. Fitzpatrick
  • T. J. Jankun-kelly

Organizations

  • United States Naval Research Laboratory

Tags

DTIC Thesaurus Topics

  • Atlantic Ocean
  • Computer Science
  • Correlation Analysis
  • Data Analysis
  • Data Mining
  • Data Science
  • Data Sets
  • Descriptive Analytics
  • Graphical User Interface
  • Information Science
  • Network Science
  • Regression Analysis
  • Statistical Analysis
  • Statistical Processes
  • Statistics
  • Tropical Cyclones
  • Visualizations

Readers

  • Distributed Systems and Data Platform Development
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers
  • Regression Analysis.