Supervised Regionalization Methods, a Survey

Serie

  • IREA Working Papers

Resumen

  • 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.

fecha de publicación

  • 2006-12

Líneas de investigación

  • Analytical Regions
  • Constrained Clustering
  • Regionalization

Issue

  • 200608