Two- and three-dimensional point location in rectangular subdivisions

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Abstract

We apply van Emde Boas-type stratified trees to point location problems in rectangular subdivisions in 2 and 3 dimensions. In a subdivision with n rectangles having integer coordinates from [1,U], we locate an integer query point in O((loglog U)d) query time using O(n) space when d≤ 2 or O(n log log U) space when d=3. Applications and extensions of this “fixed universe” approach include spatial point location using logarithmic time and linear space in rectilinear subdivisions having arbitrary coordinates, point location in c-oriented polygons or fat triangles in the plane, point location in subdivisions of space into “fat prisms,” and vertical ray shooting among horizontal “fat objects.” Like other results on stratified trees, our algorithms run on a RAM model and make use of perfect hashing.

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APA

de Berg, M., van Kreveld, M., & Snoeyink, J. (1992). Two- and three-dimensional point location in rectangular subdivisions. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 621 LNCS, pp. 352–363). Springer Verlag. https://doi.org/10.1007/3-540-55706-7_32

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