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Supervised Regionalization Methods: A Survey

Regional Analysis Laboratory (REGAL), Department of Geography, San Diego State University, jduque{at}rohan.sdsu.edu

Raúl Ramos

Grup d'Anàlisi Quantitativa Regional (AQR), Universitat de Barcelona, rramos{at}ub.edu

Jordi Suriñach

Grup d'Anàlisi Quantitativa Regional (AQR), Universitat de Barcelona, jsurinach{at}ub.edu

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.

Key Words: regionalization • constrained clustering • analytical regions

International Regional Science Review, Vol. 30, No. 3, 195-220 (2007)
DOI: 10.1177/0160017607301605


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