Efficient Query Processing in Geographic Information Systems Lecture Notes in Computer Science, Band 471

Ooi, Beng Chin:

ISBN 10: 3540534741 / ISBN 13: 9783540534747

Editore: Springer Verlag;, 1990

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208 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. Einbandkanten sind leicht bestoßen. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 410.

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Dati bibliografici

• Titolo: Efficient Query Processing in Geographic Information Systems Lecture Notes in Computer Science, Band 471
• Editore: Springer Verlag
• Data di pubblicazione: 1990
• Lingua: Inglese
• ISBN 10: 3540534741
• ISBN 13: 9783540534747
• Rilegatura: Broschiert
• Edizione: Auflage: 1990.
• Condizione: Gut
• Cataloghi dei venditori:
  • 202 Informatik & EDV

Descrizione articolo

Riassunto

This monograph describes methods for extending relational database systems for geographic applications. The ways in which a relational database system is supplemented with unconventional spatial indexing structures, additional spatial subsystems and query processors are described in great detail. The work presents an extensive survey of existing spatial indexing techniques and a taxonomy of the extensions to the multidimensional indexing structures. An extensive experimental analysis of spatial indexes is presented. The work covers the following areas: - the design of geographic information systems (GIS) - extended query languages for GIS - spatial indexing mechanisms - query processing strategies. The author presents his own skd-trees and extended query optimization strategies. The survey of spatial indexing structures for non-zero sized objects provides a framework for workers in the field of spatial information systems to evaluate spatial access methods. The consideration of query optimization will assist understanding of the role of that topic in GIS.

Contenuti

Related work and GEOQL.- The spatial kd-tree.- Performance analysis and case studies.- Query optimization.- Implementation and experiments.- Conclusions.