Practical Application of Parallel Coordinates to Hurricane Trend Analysis
نویسندگان
چکیده
In climate studies, weather scientists are interested in discovering which environmental factors have the greatest influence on significant weather phenomena. Due to the destructiveness of recent hurricane seasons, some scientists are focusing their studies on discovering which environmental variables have the greatest impact on the intensity and frequency of seasonal storm activity using statistical regression techniques. Although complicated, such techniques are effective in screening data and providing quantitative associations. In conjunction with these statistical regression methods, researchers have relied on simple, yet effective, scatter plots or histograms which require several separate plots or layered plots to analyze multiple variables. However, these representation techniques suffer from several perceptual issues because they were not designed for rapid or accurate multidimensional analysis. In this type of study, researchers need visualization techniques that are specifically designed to accommodate the simultaneous display of a high number of variables in order to support exploratory visual analysis. We have applied and extended a highly successful multivariate information visualization technique, parallel coordinates [3], to the study of hurricane climate data and regression analysis. We analyzed several seasonal hurricane predictors that were provided by Mr. Phil Klotzbach of the Tropical Meteorology Project at Colorado State University. Using an advanced dynamic interaction model, we validated the notion that the parallel coordinates visualization technique enriches the scientists’ ability to rapidly discover and thoroughly analyze complex patterns and trends in climate data.
منابع مشابه
Visual Analysis of North Atlantic Hurricane Trends using Parallel Coordinates and Statistical Techniques
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