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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/65071
Supervised regionalization methods: A survey
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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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DUQUE, Juan Carlos, RAMOS LOBO, Raúl and SURIÑACH CARALT, Jordi. Supervised regionalization methods: A survey. International Regional Science Review. 2007. Vol. 30, num. 3, pags. 195-220. ISSN 0160-0176. [consulted: 12 of August of 2026]. Available at: https://hdl.handle.net/2445/65071