A Correlation Visual Analytics System for Air Quality

DU Yi; Abish Malik; ZHOU Lianke; ZHOU Yuanchun

doi:10.1049/cje.2018.04.013

Volume 27 Issue 5

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Article Navigation > Chinese Journal of Electronics > 2018 > 27(5): 920-926

DU Yi, Abish Malik, ZHOU Lianke, et al., “A Correlation Visual Analytics System for Air Quality,” Chinese Journal of Electronics, vol. 27, no. 5, pp. 920-926, 2018, doi: 10.1049/cje.2018.04.013

Citation:

DU Yi, Abish Malik, ZHOU Lianke, et al., “A Correlation Visual Analytics System for Air Quality,” Chinese Journal of Electronics, vol. 27, no. 5, pp. 920-926, 2018, doi: 10.1049/cje.2018.04.013

DU Yi, Abish Malik, ZHOU Lianke, et al., “A Correlation Visual Analytics System for Air Quality,” Chinese Journal of Electronics, vol. 27, no. 5, pp. 920-926, 2018, doi: 10.1049/cje.2018.04.013

Citation:

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A Correlation Visual Analytics System for Air Quality

doi: 10.1049/cje.2018.04.013

1.
Department of Big Data Technology and Application Development, Computer Network Information Center, Chinese Academy of Sciences, Beijing 100190, China;
2.
Davista Technologies, West Lafayette, IN 47906, USA;
3.
College of Computer Science and Technology at Harbin Engineering University, Harbin 150001, China

Funds: This research was supported by the National Key Research and Development Program of China (No.2017YFC1601504), the National Natural Science Foundation of China under Grant (No.61402435) and China Scholarship Council.

More Information

Corresponding author: ZHOU Yuanchun (corresponding author) was born in 1975. He received his Ph.D. from the Institute of Computing Technology, Chinese Academy of Sciences, in 2006. He is a professor at the Department of Big Data Technology and Application Development at the Computer Network Information Center, Chinese Academy of Sciences. His research interests include data mining and data intensive computing. (Email:zyc@cnic.cn)
Received Date: 2017-03-10
Rev Recd Date: 2018-01-02
Publish Date: 2018-09-10

Abstract

Abstract

A visual analytics system is proposed to reveal the lead/lag correlation when air pollution is detected. In this system, an Overview + Detail approach is utilized for analyzing the correlation of air quality under both the spatial and temporal dimensions and different spatial-temporal scales. An annular container is proposed to preserve the context spatial information while the zoom level of the map changes. Based on the annular container, several analysis techniques such as STL decomposition view and correlation algorithm are integrated.
- Spatial-temporal visualization,
- Time series visualization,
- Correlation analysis,
- Air pollution

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References(22)

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