Spatial Databases: Technologies, Techniques and TrendsYannis Manolopoulos, Apostolos N. Papadopoulos, Michael Gr Vassilakopoulos Idea Group Inc (IGI), 2005 M01 1 - 340 pages 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, Spatial Databases: Technologies, Techniques and Trends 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. |
Contents
Chapter I Survey on Spatial Data Modelling Approaches | 1 |
Chapter II Integrating Web Data and Geographic Knowledge into Spatial Databases | 23 |
Section II Indexing Techniques | 48 |
Chapter III ObjectRelational Spatial Indexing | 49 |
Chapter IV QuadtreeBased Image Representation and Retrieval | 81 |
Chapter V Indexing MultiDimensional Trajectories for Similarity Queries | 107 |
Chapter VI Approximate Computation of DistanceBased Queries1 | 130 |
Algorithms Cost Models and Optimization | 155 |
Chapter IX Simple and Incremental NearestNeighbor Search in SpatioTemporal Databases | 204 |
Indexing Benchmarking and Uncertainty in Movement Representation | 225 |
Section V Data Mining | 250 |
Chapter XI SpatioTemporal Prediction Using Data Mining Tools | 251 |
Chapter XII Mining in SpatioTemporal Databases | 272 |
An Overview of Definitions Prerequisites and Challenges | 294 |
About the Authors | 322 |
336 | |
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