1985/04/01 by Leonidas Guibas, Jorge Stolfi · 7 citations
Computer Science · Environmental Science · #Computational Geometry and Mesh Generation #Remote Sensing and LiDAR Applications #Data Management and Algorithms
paper · pdf · doi:10.1145/282918.282923
openalex publication_date 1985/04/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
The following problem is discussed: given n points in the plane (the sites) and an arbitrary query point q , find the site that is closest to q . This problem can be solved by constructing the Voronoi diagram of the griven sites and then locating the query point inone of its regions. Two algorithms are given, one that constructs the Voronoi diagram in O ( n log n ) time, and another that inserts a new sit on O(n) time. Both are based on the use of the Voronoi dual, or Delaunay triangulation, and are simple enough to be of practical value. the simplicity of both algorithms can be attributed to the separation of the geometrical and topological aspects of the problem and to the use of two simple but powerful primitives, a geometric predicate and an operator for manipulating the topology of the diagram. The topology is represented by a new data structure for generalized diagrams, that is, embeddings of graphs in two-dimensional manifolds. This structure represents simultaneously an embedding, its dual, and its mirror image. Furthermore, just two operators are sufficients for building and modifying arbitrary diagrams.