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A paging scheme for pointer-based quadtrees

  • Clifford A. Shaffer
  • Patrick R. Brown
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 692)

Abstract

Hierarchical data structures, most notably the quadtree, have become increasingly popular for the indexing of the large databases required by GIS since they support the efficient computation of traditional GIS spatial analysis algorithms. While the quadtree has many representations, the linear quadtree has become the standard. Initially thought to be more space efficient than traditional pointer-based quadtree representations, its main operational virtue has been its ability to minimize data transfers between main memory and disk. Recent results show that a good pointer-based representation is more space efficient than the linear quadtree. This paper presents a pointer-based representation for quadtrees called the paged-pointer quadtree, which partitions the nodes of a pointer-based quadtree into pages and manages the pages using B-tree techniques. A paged-pointer quadtree always requires less space than the corresponding linear quadtree. Our initial implementation provides better performance than a highly optimized system based on linear quadtrees.

Keywords

Leaf Node Internal Node Parent Pointer Locational Code Page Fault 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Clifford A. Shaffer
    • 1
  • Patrick R. Brown
    • 2
  1. 1.Department of Computer ScienceVirginia TechBlacksburg
  2. 2.IBM CorporationKingston

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