Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/63538
Title: Supervised regionalization methods: A survey (WP)
Author: Duque, Juan Carlos
Ramos Lobo, Raúl
Suriñach Caralt, Jordi
Keywords: Regionalització
Economia regional
Correlació múltiple (Estadística)
Regionalization
Regional economics
Multiple comparisons (Statistics)
Issue Date: 2006
Publisher: Universitat de Barcelona. Institut de Recerca en Economia Aplicada Regional i Pública
Abstract: This paper reviews almost four decades of contributions on the subject of supervised regionalization methods. These methods aggregate a set of areas into a predefined number of spatially contiguous regions while optimizing certain aggregation criteria. The authors present a taxonomic scheme that classifies a wide range of regionalization methods into eight groups, based on the strategy applied for satisfying the spatial contiguity constraint. The paper concludes by providing a qualitative comparison of these groups in terms of a set of certain characteristics, and by suggesting future lines of research for extending and improving these methods.
It is part of: IREA – Working Papers, 2006, IR06/008
URI: http://hdl.handle.net/2445/63538
ISSN: 2014-1254
Appears in Collections:Documents de treball (Institut de Recerca en Economia Aplicada Regional i Pública (IREA))
Documents de treball / Informes (Econometria, Estadística i Economia Aplicada)

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