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]
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=X1\sqcup … \sqcupXn
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:
\argminXG(X1,...,Xn\midP)
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.
1. Red-blue partitioning: there is a set
Pb
Pr
n
1/n
1/n
R2
G(X1,...,Xn):=maxi\in
- | P_b |
- | P_r |
It equals 0 if each region has exactly a fraction
1/n