标题:An Extended Minimum Spanning Tree method for characterizing local urban patterns
作者:Wu, B[1,2];Yu, BL[1,2];Wu, QS[3];Chen, ZQ[1,2];Yao, SJ[1,2];Huang, Y[1,2];Wu, JP[1,2]
作者全称:Wu, Bin[1,2];Yu, Bailang[1,2];Wu, Qiusheng[3];Chen, Zuoqi[1,2];Yao, Shenjun[1,2];Huang, Yan[1,2];Wu, Jianping[1,2]
通讯作者地址:Yu, BL; Wu, JP (reprint author), East China Normal Univ, Key Lab Geog Informat Sci, Minist Educ, Shanghai, Peoples R China.; Yu, BL; Wu, JP (reprint author), East China Normal Univ, Sch Geog Sci, Shanghai, Peoples R China.
出版年:2018
卷:32
期:3
页码:450-475
关键词:Extended Minimum Spanning Tree (EMST); LiDAR; local patterns; Urban building characteristics; urban morphology
摘要:Detailed and precise information on urban building patterns is essential for urban design, landscape evaluation, social analyses and urban environment 更多
收录类别:SCIE;SSCI;SCOPUS
Scopus被引:1
当年影响因子:2.502
5年影响因子:2.162
JCR分区:Q2;Q1
资源类型:外文期刊论文
版权说明
文件名称:
文件大小: 0
内容类型:
版本类型: 出版稿
开放类型: 开放获取
使用许可: CC BY-NC-SA
相关成果:

个性服务

原文链接

被引量

scopus被引: 1

影响因子

当年影响因子 : 2.502

网络计量

其他

TOP