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	Prediction of hourly PM2.5 using a space-time support vector regression model
	Yang, Wentao; Deng, Min; Xu, Feng; Wang, Hang
刊名	Atmospheric Environment
	2018
卷号	Vol.181页码:12-19
关键词	Real-time air quality prediction Spatial heterogeneity Spatial dependence Support vector regression Spatial clustering Gauss vector weight function
ISSN号	1352-2310
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5468410
专题	湖南大学
作者单位	1.National-local Joint Engineering Laboratory of Geospatial Information Technology, Hunan University of Science and Technology, Xiangtan, China 2.Department ofGeo-Informatics, Central South University, Changsha, China 3.China Railway First Survey
推荐引用方式 GB/T 7714	Yang, Wentao,Deng, Min,Xu, Feng,et al. Prediction of hourly PM2.5 using a space-time support vector regression model[J]. Atmospheric Environment,2018,Vol.181:12-19.
APA	Yang, Wentao,Deng, Min,Xu, Feng,&Wang, Hang.(2018).Prediction of hourly PM2.5 using a space-time support vector regression model.Atmospheric Environment,Vol.181,12-19.
MLA	Yang, Wentao,et al."Prediction of hourly PM2.5 using a space-time support vector regression model".Atmospheric Environment Vol.181(2018):12-19.

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