2015-02-112012-081467-9787http://hdl.handle.net/10784/4988In this paper, we introduce a new spatially constrained clustering problem called the max-p-regions problem. It involves the clustering of a set of geographic areas into the maximum number of homogeneous regions such that the value of a spatially extensive regional attribute is above a predefined threshold value.We formulate the max-p-regions problem as a mixed integer programming (MIP) problem, and propose a heuristic solution.engWiley© 2011, Wiley Periodicals, Incarticleinfo:eu-repo/semantics/restrictedAccessSpatial ClusteringMIP modellingAcceso restringido2015-02-11Duque, Juan C.Ansellin, LucRey, Sergio10.1111/j.1467-9787.2011.00743.x