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.

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Yes, you can access Spatial Databases by Philippe Rigaux,Michel Scholl,Agnès Voisard in PDF and/or ePUB format, as well as other popular books in Computer Science & Databases. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Morgan Kaufmann

Year

2001

ISBN

9780080517469

Topic

Computer Science

Subtopic

Databases

Index

Computer Science

Front Cover
Spatial Databases: With Application to GIS
Copyright Page
FOREWORD
Contents
LIST OF FIGURES
PREFACE
CHAPTER 1. AN INTRODUCTION TO SPATIAL DATABASES
CHAPTER 2. REPRESENTATION OF SPATIAL OBJECTS
CHAPTER 3. LOGICAL MODELS AND QUERY LANGUAGES
CHAPTER 4. THE CONSTRAINT DATA MODEL
CHAPTER 5. COMPUTATIONAL GEOMETRY
CHAPTER 6. SPATIAL ACCESS METHODS
CHAPTER 7. QUERY PROCESSING
CHAPTER 8. COMMERCIAL SYSTEMS
BIBLIOGRAPHY
INDEX
ABOUT THE AUTHORS