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.
| Ch. I | Survey on spatial data modelling approaches | 1 |
| Ch. II | Integrating Web data and geographic knowledge into spatial databases | 23 |
| Ch. III | Object-relational spatial indexing | 49 |
| Ch. IV | Quadtree-based image representation and retrieval | 81 |
| Ch. V | Indexing multi-dimensional trajectories for similarity queries | 107 |
| Ch. VI | Approximate computation of distance-based queries | 130 |
| Ch. VII | Spatial joins : algorithms, cost models and optimization techniques | 155 |
| Ch. VIII | Applications of moving objects databases | 186 |
| Ch. IX | Simple and incremental nearest-neighbour search in spatio-temporal databases | 204 |
| Ch. X | Management of large moving objects databases : indexing, benchmarking and uncertainty in movement representation | 225 |
| Ch. XI | Spatio-temporal prediction using data mining tools | 251 |
| Ch. XII | Mining in spatio-temporal databases | 272 |
| Ch. XIII | Similarity learning in GIS : an overview of definitions, prerequisites and challenges | 294 |
Overview
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....