A Correlation Visual Analytics System for Air Quality

作     者：DU Yi Abish Malik ZHOU Lianke ZHOU Yuanchun 

作者机构：Department of Big Data Technology and Application DevelopmentComputer Network Information CenterChinese Academy of Sciences Davista Technologies College of Computer Science and Technology at Harbin Engineering University 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2018年第27卷第5期

页      面：920-926页

核心收录：

学科分类：0810[工学-信息与通信工程] 083001[工学-环境科学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0835[工学-软件工程] 081002[工学-信号与信息处理] 

基　　金：supported by the National Key Research and Development Program of China(No.2017YFC1601504) the National Natural Science Foundation of China under Grant(No.61402435) China Scholarship Council 

主　　题：Spatial-temporal visualization Time series visualization Correlation analysis Air pollution 

摘      要：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.