Higher Order City Voronoi Diagrams
We investigate higher-order Voronoi diagrams in the city metric. This metric is induced by quickest paths in the L 1 metric in the presence of an accelerating transportation network of axis-parallel line segments. For the structural complexity of k th-order city Voronoi diagrams of n point sites, we show an upper bound of O(k(n − k) + kc) and a lower bound of Ω(n + kc), where c is the complexity of the transportation network. This is quite different from the bound O(k(n − k)) in the Euclidean metric . For the special case where k = n − 1 the complexity in the Euclidean metric is O(n), while that in the city metric is Θ(nc). Furthermore, we develop an O(k 2(n + c)log(n + c))-time iterative algorithm to compute the k th-order city Voronoi diagram and an O(nclog2(n + c)logn)-time divide-and-conquer algorithm to compute the farthest-site city Voronoi diagram.
KeywordsVoronoi Diagram Transportation Network Point Site Voronoi Region Voronoi Edge
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- 10.Gemsa, A., Lee, D.T., Liu, C.-H., Wagner, D.: Higher order city Voronoi diagrams. ArXiv e-prints, arXiv:1204.4374 (April 2012)Google Scholar