Spatial Databases: With Application to GIS (The Morgan Kaufmann Series in Data Management Systems)

Philippe Rigaux, Michel Scholl, Agnàs Voisard

ISBN 10: 1558605886 / ISBN 13: 9781558605886

Published by Morgan Kaufmann, 2001

About this Item

Spatial Databases: With Application to GIS (The Morgan Kaufmann Series in Data Management Systems) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .

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Bibliographic Details

• Title: Spatial Databases: With Application to GIS (The Morgan Kaufmann Series in Data Management Systems)
• Publisher: Morgan Kaufmann
• Publication Date: 2001
• Language: English
• ISBN 10: 1558605886
• ISBN 13: 9781558605886
• Binding: Hardcover
• Condition: Very Good

About this title

Synopsis

Spatial Databases is the first unified, in-depth treatment of special techniques for dealing with spatial data, particularly in the field of geographic information systems (GIS). This book surveys various techniques, such as spatial data models, algorithms, and indexing methods, developed to address specific features of spatial data that are not adequately handled by mainstream DBMS technology.

The book also reviews commercial solutions to geographic data handling: ArcInfo, ArcView, and Smallworld GISs; and two extensions to the relational model, PostgreSQL and Oracle Spatial. The authors examine these underlying GIS technologies, assess their strengths and weaknesses, and consider specific uses for which each product is best suited.

* Examines the strengths of various query languages and approaches to query processing.* Explains the use of computational geometry in spatial databases GISs, providing necessary background and an in-depth look at key algorithms.* Covers spatial access methods, including the R-tree and several space-driven structures, and is filled with dozens of helpful illustrations.

About the Authors

Philippe Rigaux is Assistant Professor of Computer Science at CNAM (Conservatoire National des Arts et Métiers), where his work focuses on spatial applications for database systems.

Michel Scholl is a Professor of Computer Science at CNAM and a Senior Researcher at INRIA (French Institut National de Recherche en Informatique et en Automatique). His recent work has focused on spatial databases and digital libraries.

Agnès Voisard is Assistant Professor of Computer Science at the Free University of Berlin and a System Architect at Kivera, Inc. Her research interests include data models for geographic and environmental information systems, interoperability in information systems, and navigation systems.