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The Max‐P‐Regions Problem


Juan Duque


Universidad EAFIT

Luc Anselin


University of Illinois at Urbana-Champaign - Department of Agricultural and Consumer Economics

Sergio J. Rey


Arizona State University (ASU) - GeoDa Center for Geospatial Analysis and Computation

August 2012

Journal of Regional Science, Vol. 52, Issue 3, pp. 397-419, 2012

Abstract:     
In this paper, we introduce a new spatially constrained clustering problem called the max‐‐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‐‐regions problem as a mixed integer programming (MIP) problem, and propose a heuristic solution.

Number of Pages in PDF File: 23

Accepted Paper Series


Date posted: July 26, 2012  

Suggested Citation

Duque, Juan, Anselin, Luc and Rey, Sergio J., The Max‐P‐Regions Problem (August 2012). Journal of Regional Science, Vol. 52, Issue 3, pp. 397-419, 2012. Available at SSRN: http://ssrn.com/abstract=2117694 or http://dx.doi.org/10.1111/j.1467-9787.2011.00743.x

Contact Information

Juan Duque
Universidad EAFIT ( email )
Bogotá
Colombia
Luc Anselin
University of Illinois at Urbana-Champaign - Department of Agricultural and Consumer Economics ( email )
1301 W. Gregory Drive
326 Mumford Hall
Urbana, IL 61801
United States
Sergio J. Rey
Arizona State University (ASU) - GeoDa Center for Geospatial Analysis and Computation ( email )
P.O. Box 875302
Tempe, AZ 85287-5302
United States
Feedback to SSRN (Beta)


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