Spatial Data Types for Database Systems [electronic resource] : Finite Resolution Geometry for Geographic Information Systems / edited by Markus Schneider.

Contributor(s): Schneider, Markus [editor.] | SpringerLink (Online service)Material type: TextTextSeries: Lecture Notes in Computer Science ; 1288Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1997Description: XV, 281 p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783540695516Subject(s): Computer science | Data structures (Computer science) | Database management | Information systems | Geographical information systems | Computer Science | Database Management | Geographical Information Systems/Cartography | Data Structures | Information Systems Applications (incl.Internet) | Computer Applications in GeosciencesAdditional physical formats: Printed edition:: No titleDDC classification: 005.74 LOC classification: QA76.9.D3Online resources: Click here to access online
Contents:
Spatial data types — A survey -- Realms: A foundation for spatial data types in database systems -- Realm-based spatial data types: The ROSE algebra -- Efficient algorithms for realm-based spatial data types -- Implementing concepts: Realm system and ROSE system -- Conclusions, open problems, and future work.
In: Springer eBooksSummary: Database research in the last decade has increasingly focused on providing support for non-standard applications. One important domain is representation and processing of spatial information, needed, e.g., in geographical information systems. Spatial data types provide a fundamental abstraction for modeling the structure of geometric entities, their relationships, properties and operations. This monograph is an extensive survey of this field and introduces a new, general, sophisticated framework for the formal definition and robust implementation of spatial data types.
Item type: E-BOOKS
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Spatial data types — A survey -- Realms: A foundation for spatial data types in database systems -- Realm-based spatial data types: The ROSE algebra -- Efficient algorithms for realm-based spatial data types -- Implementing concepts: Realm system and ROSE system -- Conclusions, open problems, and future work.

Database research in the last decade has increasingly focused on providing support for non-standard applications. One important domain is representation and processing of spatial information, needed, e.g., in geographical information systems. Spatial data types provide a fundamental abstraction for modeling the structure of geometric entities, their relationships, properties and operations. This monograph is an extensive survey of this field and introduces a new, general, sophisticated framework for the formal definition and robust implementation of spatial data types.

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