标题：An Interactive Web Mapping Visualization of Urban Air Quality Monitoring Data of China作者：Lu, W (Lu, Wei); Ai, TH (Ai, Tinghua); Zhang, X (Zhang, Xiang); He, YK (He, Yakun)
来源出版物：ATMOSPHERE卷：8期：8 文献编号:148 DOI：10.3390/atmos8080148 出版年：AUG 2017
摘要： In recent years, main cities in China have been suffering from hazy weather, which is gaining great attention among the public, government managers and researchers in different areas. Many studies have been conducted on the topic of urban air quality to reveal different aspects of the air quality problem in China. This paper focuses on the visualization problem of the big air quality monitoring data of all main cities on a nationwide scale. To achieve the intuitive visualization of this dataset, this study develops two novel visualization tools for multi-granularity time series visualization (timezoom. js) and a dynamic symbol declutter map mashup layer for thematic mapping (symadpative.js). With the two invented tools, we develops an interactive web map visualization application of urban air quality data of all main cities in China. This application shows us significant air pollution findings at the nationwide scale. These results give us clues for further studies on air pollutant characteristics, forecasting and control in China. As the tools are invented for general visualization purposes of geo-referenced time series data, they can be applied to other environmental monitoring data (temperature, precipitation, etc.) through some configurations.
入藏号：WOS:000408757800012
文献类型：Article
语种：English
作者关键词： air quality; environmental data visualization; spatial-temporal visualization; visual analytics
扩展关键词： TIME; INFORMATION; FRAMEWORK; SYSTEM
通讯作者地址：Ai, TH (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
电子邮件地址： whuluwei@whu.edu.cn; tinghua_ai@whu.edu.cn; xiangzhang@whu.edu.cn; hyk1990@whu.edu.cn
地址： [Lu, Wei; Ai, Tinghua; Zhang, Xiang; He, Yakun] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Hubei, Peoples R China.
研究方向： Meteorology & Atmospheric Sciences
ISSN： 2073-4433
影响因子：1.487
