NDLI: Window Query Processing in Linear Quadtrees

Content Provider	Springer Nature Link
Author	Aboulnaga, Ashraf Aref, Walid G.
Copyright Year	2001
Abstract	The linear quadtree is a spatial access method that is built by decomposing the spatial objects in a database into quadtree blocks and storing these quadtree blocks in a B-tree. The linear quadtree is very useful for geographic information systems because it provides good query performance while using existing B-tree implementations. An algorithm and a cost model are presented for processing window queries in linear quadtrees. The algorithm can handle query windows of any shape in the general case of spatial databases with overlapping objects. The algorithm recursively decomposes the space into quadtree blocks, and uses the quadtree blocks overlapping the query window to search the B-tree. The cost model estimates the I/O cost of processing window queries using the algorithm. The cost model is also based on a recursive decomposition of the space, and it uses very simple parameters that can easily be maintained in the database catalog. Experiments with real and synthetic data sets verify the accuracy of the cost model.
Starting Page	111
Ending Page	126
Page Count	16
File Format	PDF
ISSN	09268782
Journal	Distributed and Parallel Databases
Volume Number	10
Issue Number	2
e-ISSN	15737578
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2001-01-01
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Processor Architectures Computer Communication Networks Data Structures, Cryptology and Information Theory Information Storage and Retrieval
Content Type	Text
Resource Type	Article
Subject	Information Systems and Management Information Systems Software Hardware and Architecture

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