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Supervised regionalization methods, a survey

  • Juan Carlos Duque

    ()

    (Regional Analysis Laboratory (REGAL). San Diego State University.)

  • Raul Ramos

    ()

    (Faculty of Economics, University of Barcelona.)

  • Jordi Suriñach

    ()

    (Faculty of Economics, University of Barcelona.)

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.

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File URL: http://www.ub.edu/irea/working_papers/2006/200608.pdf
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Paper provided by University of Barcelona, Research Institute of Applied Economics in its series IREA Working Papers with number 200608.

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Length: 31 pages
Date of creation: Dec 2006
Date of revision: Dec 2006
Handle: RePEc:ira:wpaper:200608
Contact details of provider: Postal: Tinent Coronel Valenzuela, Num 1-11 08034 Barcelona
Web page: http://www.ub.edu/irea/

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