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Multidimensional access methods

ACM Computing Surveys · 1998 · Vol. 30(2) · pp. 170–231
Volker GaedeOliver Günther

Abstract

Search operations in databases require special support at the physical level. This is true for conventional databases as well as spatial databases, where typical search operations include the point query (find all objects that contain a given search point) and the region query (find all objects that overlap a given search region). More than ten years of spatial database research have resulted in a great variety of multidimensional access methods to support such operations. We give an overview of that work. After a brief survey of spatial data management in general, we first present the class of point access methods , which are used to search sets of points in two or more dimensions. The second part of the paper is devoted to spatial access methods to handle extended objects, such as rectangles or polyhedra. We conclude with a discussion of theoretical and experimental results concerning the relative performance of various approaches.

Data Management and AlgorithmsComputational Geometry and Mesh GenerationGeographic Information Systems StudiesComputer scienceAccess methodPoint (geometry)Variety (cybernetics)Class (philosophy)Spatial databaseSpatial querySpatial analysisDatabaseInformation retrieval

Funding

  • Strong
  • Deutsche Forschungsgemeinschaft
Citations
1,588
FWCI
67.22
field-weighted impact
References
206
Percentile
100%
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Citations per year
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References
The Quadtree and Related Hierarchical Data Structures
ACM Computing Surveys · 1984 · 2,184 citations
Ubiquitous B-Tree
ACM Computing Surveys · 1979 · 1,834 citations
Multidimensional binary search trees used for associative searching
Communications of the ACM · 1975 · 7,345 citations
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