Supervised regionalization methods, a survey

Juan Carlos Duque (), Raul Ramos () and Jordi Suriñach ()

No 200608, IREA Working Papers from University of Barcelona, Research Institute of Applied Economics

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.

Keywords: regionalization; constrained clustering; analytical regions. (search for similar items in EconPapers)
JEL-codes: C21 R12 C61 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cse and nep-geo
Date: 2006-12, Revised 2006-12
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Persistent link: http://EconPapers.repec.org/RePEc:ira:wpaper:200608

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