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Range searching in low-density environments


Author(s) : Jules Vleugels Otfried Schwarzkopf, 
Publisher : N/A
Publication Date : 1996
ISSN : N/A
Abstract : to be a lowdensity environment if any axis-parallel hypercube intersects only few objects of comparable or larger size. Generalizing and simplifying previous results for fat objects, we present a data structure for point location in a low-density environment, and we show how this data structure can be extended to perform range search queries with query ranges of size comparable to the smallest object. Key words: computational geometry, point location, range,