1992
DOI: 10.1007/bf02074876
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Page usage in a quadtree index

Abstract: Abstract.This paper provides a characterization of the storage needs of a quadtree when used as an index to access large volumes of 2-dimensional data. It is shown that the page occupancy for data in random order approaches 33 %. A precise mathematical analysis that involves a modicum of hypergeometric functions and dilogarithms, together with some computer algebra is presented.A brief survey of the analysis of storage usage in tree structures is included. The 33% ratio for quadtrees is to be compared to the f… Show more

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Cited by 18 publications
(25 citation statements)
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“…We push the analysis further and derive a closed form for the generating functions of D n and en using the hypergeometric equation known to play a crucial role in similar analyses [10], [20]. In this way the distribution of search costs becomes expressible as a complicated convolution of Stirling numbers and asymptotic normality results.…”
Section: mentioning
confidence: 99%
See 1 more Smart Citation
“…We push the analysis further and derive a closed form for the generating functions of D n and en using the hypergeometric equation known to play a crucial role in similar analyses [10], [20]. In this way the distribution of search costs becomes expressible as a complicated convolution of Stirling numbers and asymptotic normality results.…”
Section: mentioning
confidence: 99%
“…They are discussed in classical treatises on algorithms [18], [31] and examined in great detail in Samet's reference books [29], [20]. Their analysis has made tangible progress over recent years [7], [10], [12], [20], [23], [27].…”
Section: Introductionmentioning
confidence: 99%
“…[] The techniques of this paper have been applied recently by Hoshi and Flajolet [20] to determine the storage occupation of paged quadtrees used as indexes for two-dimensional data. As a special case, the proportion of leaves in a randomly grown standard quadtree is asymptotically (4re z -39).…”
mentioning
confidence: 99%
“…Papers [95], [105], [108], [119], and [124] deal with quadtrees; a quadtree is a tree to store a geometric object of dimension 2 (there are also generalizations to higher dimensions). Unlike a binary search tree, where an element goes either left or right depending on whether it is smaller or larger than the element in the root, there are now four subtrees, conveniently denoted by northwest, northeast, southwest, and southeast.…”
Section: Quadtreesmentioning
confidence: 99%
“…Unlike a binary search tree, where an element goes either left or right depending on whether it is smaller or larger than the element in the root, there are now four subtrees, conveniently denoted by northwest, northeast, southwest, and southeast. Paper [105] studies the idea of paging; with a design parameter b, a node can hold up to b data (they are stored sequentially, as they come in). Then the expected number of pages is asymptotic to γ b · n, with…”
Section: Quadtreesmentioning
confidence: 99%