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Spatial Databases: A Tour

Shashi Shekhar, Sanjay Chawla

12 ratings by Goodreads
ISBN 10: 0130174807 / ISBN 13: 9780130174802
Published by Prentice Hall, 2003
New Condition: New Soft cover
From Ergodebooks (RICHMOND, TX, U.S.A.)

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Bibliographic Details

Title: Spatial Databases: A Tour

Publisher: Prentice Hall

Publication Date: 2003

Binding: Paperback

Book Condition:New

Edition: 1.

About this title

Synopsis:

This book by leading experts in the field provides readers with a wide range of applications and methods for spatial database management systems, and allows readers to gain hands-on experience with examples in the book. It balances theory (cutting-edge research) and practice (commercial trends) to provide a comprehensive and clear overview. Includes coverage of GIS application trends as spatial networks; discussion of spatial data mining; overview of OGIS standard spatial datatypes and operations; object-relational database framework applied in each chapter. For professionals in the field of Databases, Geographic Information Systems, Geography, Remote Sensing, Multimedia Information, Civil and Mechanical Engineering, Forestry, CAD/CAM, Health Informatics, and Natural Resource Management.

From the Back Cover:

This inter-disciplinary comprehensive text shows how to manage spatial data in GIS, CAD, and multimedia systems and their application domains. This book helps readers master various stages of traditional 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 algorithms as well as spatial storage and indexing methods (e.g. R-trees). For students or professionals, this book balances cutting-edge research and practice to provide many firsts.

OUTSTANDING FEATURES

  • Comprehensive yet concise overview of Spatial Databases for students and practitioners.
  • Self-contained treatment without assuming pre-requisite knowledge of GIS or Databases.
  • Extensive use of industry standards, such as OGIS spatial data types and operations.
  • Complete coverage of spatial networks including modeling, querying and storage methods.
  • Detailed discussion of issues related to Spatial Data Mining.
  • Balance between cutting-edge research and commercial trends.
  • Variety of exercises at the end of each chapter.
  • Easy-to-understand examples from common knowledge application-domains.

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