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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Bibliographic Information

Book Title: Spatial Data Types for Database Systems
Book Subtitle: Finite Resolution Geometry for Geographic Information Systems
Editors: Markus Schneider
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/BFb0028319
Publisher: Springer Berlin, Heidelberg
eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag Berlin Heidelberg 1997
Softcover ISBN: 978-3-540-63454-6Published: 19 August 1997
eBook ISBN: 978-3-540-69551-6Published: 22 November 2005
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XV, 281
Topics: Signal, Image and Speech Processing, Image Processing and Computer Vision, Database Management, Geographical Information Systems/Cartography, Data Structures, Information Systems Applications (incl. Internet)

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Table of contents (7 chapters)

Front Matter

Introduction

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

Back Matter

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