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	A visual analytics approach for station-based air quality data
	Du, Yi1; Ma, Cuixia2; Wu, Chao3; Xu, Xiaowei1; Guo, Yike3; Zhou, Yuanchun1; Li, Jianhui1
刊名	Sensors
	2017
卷号	17期号:1页码:17
关键词	Visual analytics Spatio-temporal visualization Time series visualization Multi-dimensional visualization Air pollution
ISSN号	1424-8220
DOI	10.3390/s17010030
通讯作者	Li, jianhui(lijh@cnic.cn)
英文摘要	With the deployment of multi-modality and large-scale sensor networks for monitoring air quality, we are now able to collect large and multi-dimensional spatio-temporal datasets. for these sensed data, we present a comprehensive visual analysis approach for air quality analysis. this approach integrates several visual methods, such as map-based views, calendar views, and trends views, to assist the analysis. among those visual methods, map-based visual methods are used to display the locations of interest, and the calendar and the trends views are used to discover the linear and periodical patterns. the system also provides various interaction tools to combine the map-based visualization, trends view, calendar view and multi-dimensional view. in addition, we propose a self-adaptive calendar-based controller that can flexibly adapt the changes of data size and granularity in trends view. such a visual analytics system would facilitate big-data analysis in real applications, especially for decision making support.
WOS关键词	CHINA ; VISUALIZATION ; EXPLORATION ; POLLUTION ; EPISODES ; HEALTH ; PM2.5 ; HAZE
WOS研究方向	Chemistry ; Electrochemistry ; Instruments & Instrumentation
WOS类目	Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
语种	英语
出版者	MDPI AG
WOS记录号	WOS:000393021000030
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/2374226
专题	计算机网络信息中心
通讯作者	Li, Jianhui
作者单位	1.Chinese Acad Sci, Dept Big Data Technol & Applicat Dev, Comp Network Informat Ctr, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Inst Software, Intelligence Engn Lab, Beijing 100190, Peoples R China 3.Imperial Coll London, Dept Comp, London SW7 2AZ, England
推荐引用方式 GB/T 7714	Du, Yi,Ma, Cuixia,Wu, Chao,et al. A visual analytics approach for station-based air quality data[J]. Sensors,2017,17(1):17.
APA	Du, Yi.,Ma, Cuixia.,Wu, Chao.,Xu, Xiaowei.,Guo, Yike.,...&Li, Jianhui.(2017).A visual analytics approach for station-based air quality data.Sensors,17(1),17.
MLA	Du, Yi,et al."A visual analytics approach for station-based air quality data".Sensors 17.1(2017):17.

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