Map segmentation

In mathematics, the map segmentation problem is a kind of optimization problem. It involves a certain geographic region that has to be partitioned into smaller sub-regions in order to achieve a certain goal. Typical optimization objectives include:[1]

Fair division of land has been an important issue since ancient times, e.g. in ancient Greece.[2]

Notation

There is a geographic region denoted by C ("cake").

A partition of C, denoted by X, is a list of disjoint subregions whose union is C:

C = X_1\sqcup\cdots\sqcup X_n

There is a certain set of additional parameters (such as: obstacles, fixed points or probability density functions), denoted by P.

There is a real-valued function denoted by G ("goal") on the set of all partitions.

The map segmentation problem is to find:

\arg\min_X G(X_1,\dots,X_n \mid P)

where the minimization is on the set of all partitions of C.

Often, there are geometric shape constraints on the partitions, e.g., it may be required that each part be a convex set or a connected set or at least a measurable set.

Examples

1. Red-blue partitioning: there is a set P_b of blue points and a set P_r of red points. Divide the plane into n regions such that each region contains approximately a fraction 1/n of the blue points and 1/n of the red points. Here:

G(X_1,\dots,X_n) := \max_{i\in \{1,\dots, n\}} \left( \left |\frac{|P_b\cap X_i| - |P_b|} n \right| + \left| \frac{|P_r\cap X_i| - |P_r|} n\right| \right).
It equals 0 if each region has exactly a fraction 1/n of the points of each color.

Related problems

References

  1. Raghuveer Devulapalli (Advisor: John Gunnar Carlsson) (2014). Geometric Partitioning Algorithms for Fair Division of Geographic Resources. A Ph.D. thesis submitted to the faculty of university of Minnesota.
  2. Boyd, Thomas D.; Jameson, Michael H. (1981). "Urban and Rural Land Division in Ancient Greece". Hesperia 50 (4): 327. doi:10.2307/147876. JSTOR 147876.
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