Spatial Data Types for Database Systems [electronic resource] : Finite Resolution Geometry for Geographic Information Systems /

By:

Schneider, Markus [author.]

Contributor(s):

SpringerLink (Online service)

Material type: Text

TextSeries: Lecture Notes in Computer Science ; 1288Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1997Edition: 1st ed. 1997Description: XV, 281 p. online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783540695516

Subject(s):

Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:

621.382 23

LOC classification:

TK5102.9

Online 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 Nature eBookSummary: 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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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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