Finding Regions of Maximum Circularity in Plane Geometric Graphs

A problem that occurs in different applications in geographical information science is to generate compact regions from areas on a map. This is important, e.g., in the context of electoral districting to avoid gerrymandering. A common measure for the compactness of a region is the Polsby-Popper score, which measures how close a given region is to a circle based on its area and perimeter. We assume that a polygonal subdivision of the plane is given and study the problem of selecting a subset of the polygonal faces that maximizes the Polsby-Popper score.

  • Published in:
    arXiv
  • Type:
    Article
  • Authors:
    Haunert, Jan-Henrik; Könen, Joshua Marc; Röglin, Heiko; Stuck, Tarek
  • Year:
    2026
  • Source:
    https://arxiv.org/abs/2607.28298

Citation information

Haunert, Jan-Henrik; Könen, Joshua Marc; Röglin, Heiko; Stuck, Tarek: Finding Regions of Maximum Circularity in Plane Geometric Graphs, arXiv, 2026, July, https://arxiv.org/abs/2607.28298, Haunert.etal.2026a,

Associated Lamarr Researchers

lamarr institute person Roeglin Heiko - Lamarr Institute for Machine Learning (ML) and Artificial Intelligence (AI)

Prof. Dr. Heiko Röglin

Principal Investigator Resource-aware ML to the profile