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.
Publisher: Elsevier Science & Technology
Number of pages: 410
Weight: 1040 g
Dimensions: 235 x 187 x 25 mm
"Spatial Databases covers all of the major themes of the field -- representation,
query languages, computational geometry, spatial indexing -- using geographic
information systems as the principal application domain and motivation. It will make
an excellent introduction for computer science professionals and students interested
in exploring GIS, or for GIS professionals interested in learning more about the
computer science foundations of the field. The book is also an excellent guide to the
literature, with comprehensive bibliographic notes at the end of each chapter."
-- Michael F. Goodchild
National Center for Geographic Information and Analysis
"Spatial Databases is a well-written, comprehensive treatment of a multi-disciplinary field, spanning computational geometry, database modeling, object-orientation, and query processing. The book presents both advanced research and commercial systems in a clear and accessible manner. This book is essential for understanding the current state of the art. Well done!"
Professor Dennis Shasha, New York University