2015-02-112012-081467-9787https://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, Incinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/closedAccessSpatial ClusteringMIP modellingAcceso metadatos2015-02-11Duque, Juan C.Ansellin, LucRey, Sergio10.1111/j.1467-9787.2011.00743.xhttp://purl.org/coar/access_right/c_14cb