Detecting Spatial Clustering Using a Firm-Level Cluster Index

被引：38

作者：

Scholl, Tobias ^{[1
,2
]}

Brenner, Thomas ^{[2
]}

机构：

[1] House Logist & Mobil HOLM GmbH, Bessie Coleman Str 7,Gateway Gardens, D-60549 Frankfurt, Germany

[2] Univ Marburg, Dept Geog, Deutschhausstr 10, D-35032 Marburg, Germany

来源：

REGIONAL STUDIES | 2016年 / 50卷 / 06期

关键词：

Clusters; Modifiable areal unit problem (MAUP); Distance-based measures; Localization; Spatial concentration; GEOGRAPHIC CONCENTRATION; AGGLOMERATION;

D O I：

10.1080/00343404.2014.958456

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Scholl T. and Brenner T. Detecting spatial clustering using a firm-level Cluster Index. Regional Studies. A new statistical method is presented that detects industrial clusters at a firm level. The proposed method does not divide space into subunits, whereby it is not affected by the modifiable areal unit problem (MAUP). Hence, it is the first method to identify clusters without predetermined borders. The metric differs in both its calculation and its interpretation from existing distance-based metrics and shows three central properties that enable its meaningful use for cluster analysis. The method fulfils all five criteria for a test of localization proposed by Duranton and Overman in 2005.

引用

页码：1054 / 1068

页数：15

共 12 条

[1] Exponential or power distance-decay for commuting? An alternative specification [J].