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Hierarchical spatial data structures

  • Quadtrees
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Design and Implementation of Large Spatial Databases (SSD 1989)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 409))

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Abstract

An overview is presented of the use of hierarchical spatial data structures such as the quadtree. They are based on the principle of recursive decomposition. The focus is on the representation of data used in image databases. The emphasis is on two-dimensional regions, points, rectangles, and lines.

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Authors and Affiliations

  1. Computer Science Department, Center for Automation Research, and Institute for Advanced Computer Studies, University of Maryland, 20742, College Park, Maryland

    Hanan Samet

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  1. Hanan Samet
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Editor information

Alejandro P. Buchmann Oliver Günther Terence R. Smith Yuan-Fang Wang

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© 1990 Springer-Verlag Berlin Heidelberg

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Samet, H. (1990). Hierarchical spatial data structures. In: Buchmann, A.P., Günther, O., Smith, T.R., Wang, YF. (eds) Design and Implementation of Large Spatial Databases. SSD 1989. Lecture Notes in Computer Science, vol 409. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-52208-5_28

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  • DOI: https://doi.org/10.1007/3-540-52208-5_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52208-9

  • Online ISBN: 978-3-540-46924-7

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