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

机译:利用平行坐标和统计技术对北大西洋飓风趋势进行可视化分析;备忘录报告

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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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