气候变化领域集成服务门户(CCPortal): Combining data visualization and statistical approaches for interpreting measurements and meta-data: Integrating heatmaps, variable clustering, and mixed regression models

CCPortal

	Combining data visualization and statistical approaches for interpreting measurements and meta-data: Integrating heatmaps, variable clustering, and mixed regression models
	Stiegel, Matthew A.1; Sobus, Jon R.2; Madden, Michael C.2; Pleil, Joachim D.2
发表日期	2014-08-10
ISSN	0065-7727
卷号	248
语种	英语
WOS记录号	WOS:000349167400167
来源期刊	ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY
来源机构	美国环保署
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/58576
作者单位	1.Univ N Carolina, Dept Environm Sci & Engn, Chapel Hill, NC 27599 USA; 2.US EPA, Methods Dev & Applicat Branch, Res Triangle Pk, NC 27711 USA
推荐引用方式 GB/T 7714	Stiegel, Matthew A.,Sobus, Jon R.,Madden, Michael C.,et al. Combining data visualization and statistical approaches for interpreting measurements and meta-data: Integrating heatmaps, variable clustering, and mixed regression models[J]. 美国环保署,2014,248.
APA	Stiegel, Matthew A.,Sobus, Jon R.,Madden, Michael C.,&Pleil, Joachim D..(2014).Combining data visualization and statistical approaches for interpreting measurements and meta-data: Integrating heatmaps, variable clustering, and mixed regression models.ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY,248.
MLA	Stiegel, Matthew A.,et al."Combining data visualization and statistical approaches for interpreting measurements and meta-data: Integrating heatmaps, variable clustering, and mixed regression models".ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 248(2014).