For Advanced Database Topics courses taught in Computer Science departments and Advanced Geographic Information Systems courses taught in departments such as Geography, Natural Resources, Civil Engineering, Urban Planning, Transportation, Environmental Studies etc.
This text helps students master various stages of spatial database design and implementation, introducing conceptual models (e.g., pictogram enhanced ERD), explaining query languages (e.g., OGIS, SQL3), and finally describing efficient implementations using query optimization and spatial indexes (e.g., R-trees). Aimed at students as well as professionals interested in spatial database and GIS, this text balances theory and practice to provide many firsts: extensive use of industry standard OGIS spatial data types, comprehensive coverage of emerging topics of spatial networks, and spatial data mining.
Publisher: Pearson Education (US)
Number of pages: 288
Weight: 463 g
Dimensions: 230 x 180 x 100 mm
"It is more up-to-date and provides a single reference for the topic, which otherwise gets dispersed in other books and papers. It provides a more detailed coverage of the basic issues in Spatial Database systems." - Alia I. Abehnoty, University of Glamorgan, Wales, UK
"It covers the entire field, from representation through query to analysis, in a style that is clear, logical, and rigorous. Especially welcome is the chapter on data mining." - Michael E Goodchild, NCGIA and Dept. of Geography, University of California, Santa Barbara
"This volume, by surveying GIS and Database topics, allows it to be a stand-alone reference. There is really nothing else on the market, and it is a valuable and important area. It follows a good progression of topics and builds on previous chapters. Good coverage on indexing; good examples for querying." - Fred Petry, Tulane University
"This book was extremely valuable in understanding the state of the art in spatial databases due to emphasis on industry standard OGIS instead of on individual products." - Siva Ravada, Manager, Spatial Data Products Division, Oracle Corporation
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