Abstract
In 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.
Original language | English (US) |
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Pages (from-to) | 397-419 |
Number of pages | 23 |
Journal | Journal of Regional Science |
Volume | 52 |
Issue number | 3 |
DOIs | |
State | Published - Aug 2012 |
ASJC Scopus subject areas
- Development
- Environmental Science (miscellaneous)