Spatial Databases Upplaga 1
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.
Upplaga: 1a upplagan
Utgiven: 2002
ISBN: 9780130174802
Förlag: Pearson
Format: Häftad
Språk: Engelska
Sidor: 288 st
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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