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
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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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