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Detecting Spatial Clustering Using a Firm-Level Cluster Index
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.
Detecting Spatial Clustering Using a Firm-Level Cluster Index
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.
Detecting Spatial Clustering Using a Firm-Level Cluster Index
Scholl, Tobias (Autor:in) / Brenner, Thomas (Autor:in)
Regional Studies ; 50 ; 1054-1068
02.06.2016
15 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Clusters , Modifiable areal unit problem (MAUP) , Distance-based measures , Localization , Spatial concentration , 群聚 , 可调整地区单元问题(MAUP) , 根据距离的测量 , 在地化 , 空间集中 , Grappes , Problème de l'unité areal modifiable (MAUP) , Mesures basées sur la distance , Localisation , Concentration géographique , Cluster , Problem der veränderbaren Gebietseinheiten (MAUP) , Entfernungsbasierte Maßstäbe , Lokalisierung , Räumliche Konzentration , Aglomeraciones , Problema de la unidad de área modificable (MAUP) , Medidas basadas en la distancia , Localización , Concentración espacial , C40 , C60 , R12
Detecting Spatial Clustering Using a Firm-Level Cluster Index
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Taylor & Francis Verlag | 2002
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