太阳成8722(中国)有限公司-GREEN NO.1

标题：A Novel Analysis Method of Geographical Centrality Based on Space of Flows

作者：Li, JW (Li, Jiwei); Qian, J (Qian, Jing); Liu, YL (Liu, Yaolin)

来源出版物：ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 卷：6期：5 文献编号：153 DOI：10.3390/ijgi6050153 出版年：MAY 2017

摘要：Geographical centrality is an evolving concept that differs from one perspective to another at different stages. The unprecedented development of high-speed information and transportation networks has highlighted the important role of space of flows and has restructured the mode of spatial interaction. The geographical centrality analysis method based on relational networks currently becomes the mainstream, but most related methods ignore the spatial structure. In this study, we first analyze the impacts of space of flows on geographical space based on spatial interaction theory. We argue that geographical space and space of flows dominate short-and long-distance interactions, respectively. Based on this hypothesis, the concept of geographical centrality based on space of flows is proposed. The new concept categorizes spatial units into four types: global centers, isolated units, externally oriented units, and locally oriented units. Then, two quantitative measures, namely, global and local geographical centrality indexes, are defined. In the case study, we analyze the geographical centrality of cities in China at three different spatial scales and compare the result with three other geographical centrality analysis methods. City attribute is concluded to be more important than spatial distance in urban spatial interaction at the national scale, and this situation is caused by the effect of space of flows on geographical space. The similarities and differences between the proposed geographical centrality analysis method and the classic spatial autocorrelation analysis method of Moran's I are also discussed.

入藏号：WOS:000404525500028

文献类型：Article

语种：English

作者关键词： centrality; space of flows; geographical space; spatial autocorrelation; China

扩展关键词： CENTRAL PLACE THEORY; SPATIAL STRUCTURE; NETWORKS; HIERARCHY; EMERGENCE

通讯作者地址：Liu, YL (reprint author), Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

Liu, YL (reprint author), Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

电子邮件地址：jedi1985@whu.edu.cn; qianjing227@163.com; yaolin610@163.com

地址：

[Li, Jiwei; Qian, Jing; Liu, Yaolin] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Liu, Yaolin] Wuhan Univ, Minist Educ, Key Lab Geog Informat Syst, Wuhan 430079, Peoples R China.

研究方向：Physical Geography; Remote Sensing

ISSN：2220-9964

影响因子：0.371