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Visual Analysis of the Air Pollution Problem in Hong Kong
November/December 2007 (vol. 13 no. 6)
pp. 1408-1415
We present a comprehensive system for weather data visualization. Weather data are multivariate and contain vector fields formed by wind speed and direction. Several well-established visualization techniques such as parallel coordinates and polar systems are integrated into our system. We also develop various novel methods, including circular pixel bar charts embedded into polar systems, enhanced parallel coordinates with S-shape axis, and weighted complete graphs. Our system was used to analyze the air pollution problem in Hong Kong and some interesting patterns have been found.

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Index Terms:
Weather data visualization, polar system, parallel coordinates, air pollution, visual analytics.
Citation:
Huamin Qu, Wing-Yi Chan, Anbang Xu, Kai-Lun Chung, Kai-Hon Lau, Ping Guo, "Visual Analysis of the Air Pollution Problem in Hong Kong," IEEE Transactions on Visualization and Computer Graphics, vol. 13, no. 6, pp. 1408-1415, Nov.-Dec. 2007, doi:10.1109/TVCG.2007.70613
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