Spatial databases : technologies, techniques and trends
著者
書誌事項
Spatial databases : technologies, techniques and trends
Idea Group, c2005
- : hbk
- : pbk
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注記
Includes bibliographical references and index
HTTP:URL=http://www.loc.gov/catdir/toc/ecip051/2004021989.html Information=Table of contents
内容説明・目次
内容説明
Spatial Databases: Technologies, Techniques and Trends Introduces the reader to the world of spatial databases, and related subtopics. The broad range of topics covered within the chapters includes spatial data modeling, indexing of spatial and spatiotemporal objects, data mining and knowledge discovery in spatial and spatiotemporal management issues and query processing for moving objects. The reader will be able to get in touch with several important research issues the research community is dealing with today. Covering fundamental aspects up to advanced material, this book appeals to a broad computer science audience. Although perfect for specialists, each chapter is self-contained, making it easy for non-specialists to grasp the main issues involved.
目次
Section I: Modeling and Systems, Chapter I. Survey on Spatial Data Modeling Approaches, Chapter II. Integrating Web Data and Geographic Knowledge into Spatial Databases, Section II: Indexing Techniques, Chapter III. Object-Relational Spatial Indexing, Chapter IV. Quadtree-Based Image Representation and Retrieval, Chapter V. Indexing Multi-Dimensional Trajectories for Similarity Queries, Section III: Query Processing and Optimization, Chapter VII. Spatial Joins: Algorithms, Cost Models and Optimization Techniques, Section IV: Moving Objects, Chapter VIII. Applications of Moving Objects Databases, Chapter IX. Simple and Incremental Nearest-Neighbor Search in Spatiotemporal Databases, Chapter X. Management of Large Moving Objects Datasets: Indexing, Benchmarking and Uncertainty in Movement Representation, Section V: Data Mining, Chapter XI. Spatiotemporal Prediction using Data Mining Tools, Chapter XII. Mining in Spatiotemporal Databases, Chapter XIII. Similarity Learning in GIS: An Overview of Definitions, Prerequisites and Challenges
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