Compactness measure of a shape
The compactness measure of a shape is a numerical quantity representing the degree to which a shape is compact. The meaning of "compact" here is not related to the topological notion of compact space.
Various compactness measures are used. However, these measures have the following in common:
- They are applicable to all geometric shapes.
- They are independent of scale and orientation.
- They are dimensionless numbers.
- They are not overly dependent on one or two extreme points in the shape.
- They agree with intuitive notions of what makes a shape compact.
Compactness measures can be defined for three-dimensional shapes as well, typically as functions of volume and surface area. One example of a compactness measure is sphericity . Another measure in use is , which is proportional to .
The Polsby-Popper Test is a mathematical measure of compactness that was developed to quantify the degree of gerrymandering of political districts.
A common use of compactness measures is in redistricting. The goal is to maximize the compactness of electoral districts, subject to other constraints, and thereby to avoid gerrymandering. Another use is in zoning, to regulate the manner in which land can be subdivided into building lots. Another use is in pattern classification projects so that you can classify the circle from other shapes.
- Surface area to volume ratio
- How Long Is the Coast of Britain? Statistical Self-Similarity and Fractional Dimension
- U.S. Patent 6,169,817
- Rick Gillman "Geometry and Gerrymandering", Math Horizons, Vol. 10, #1 (Sep, 2002) 10-13.
- MacGillis, Alec (2006-11-15). "Proposed Rule Aims to Tame Irregular Housing Lots". The Washington Post. p. B5. Retrieved 2006-11-15.