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	The Minkowski approach for choosing the distance metric in geographically weighted regression
	Lu, Binbin; Charlton, Martin; Brunsdon, Chris; Harris, Paul
刊名	INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
	2016
卷号	30期号:2
关键词	Non-stationarity GW model Minkowski distance simulation experiment
ISSN号	1365-8816
DOI	10.1080/13658816.2015.1087001
URL标识	查看原文
收录类别	SCIE ; SSCI
语种	英语
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4090101
专题	武汉大学
推荐引用方式 GB/T 7714	Lu, Binbin,Charlton, Martin,Brunsdon, Chris,et al. The Minkowski approach for choosing the distance metric in geographically weighted regression[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2016,30(2).
APA	Lu, Binbin,Charlton, Martin,Brunsdon, Chris,&Harris, Paul.(2016).The Minkowski approach for choosing the distance metric in geographically weighted regression.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,30(2).
MLA	Lu, Binbin,et al."The Minkowski approach for choosing the distance metric in geographically weighted regression".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE 30.2(2016).

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