Supervised Regionalization Methods: A Survey

Juan Duque, Raul Ramos and Jordi Suriñach
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Jordi Suriñach: Grup d'Anà lisi Quantitativa Regional (AQR), Universitat de Barcelona, jsurinach@ub.edu
Authors registered in the RePEc Author Service: Jordi Suriñach

International Regional Science Review, 2007, vol. 30, issue 3, 195-220

Abstract: This article 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 article 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.

Keywords: regionalization; constrained clustering; analytical regions (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (68)

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Working Paper: Supervised regionalization methods, a survey (2006)
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Persistent link: https://EconPapers.repec.org/RePEc:sae:inrsre:v:30:y:2007:i:3:p:195-220

DOI: 10.1177/0160017607301605

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