Spatial Data Management

Spatial Data Management

Nikos Mamoulis
ISBN: 9781608458325 | PDF ISBN: 9781608458332
Copyright © 2011 | 149 Pages | Publication Date: 01/01/2011

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Spatial database management deals with the storage, indexing, and querying of data with spatial features, such as location and geometric extent. Many applications require the efficient management of spatial data, including Geographic Information Systems, Computer Aided Design, and Location Based Services. The goal of this book is to provide the reader with an overview of spatial data management technology, with an emphasis on indexing and search techniques. It first introduces spatial data models and queries and discusses the main issues of extending a database system to support spatial data. It presents indexing approaches for spatial data, with a focus on the R-tree. Query evaluation and optimization techniques for the most popular spatial query types (selections, nearest neighbor search, and spatial joins) are portrayed for data in Euclidean spaces and spatial networks.

The book concludes by demonstrating the ample application of spatial data management technology on a wide range of related application domains: management of spatio-temporal data and high-dimensional feature vectors, multi-criteria ranking, data mining and OLAP, privacy-preserving data publishing, and spatial keyword search.

Table of Contents: Introduction / Spatial Data / Indexing / Spatial Query Evaluation / Spatial Networks / Applications of Spatial Data Management Technology

Table of Contents

Introduction
Spatial Data
Indexing
Spatial Query Evaluation
Spatial Networks
Applications of Spatial Data Management Technology

About the Author(s)

Nikos Mamoulis, University of Hong Kong

Related Series

Data Mining and Knowledge Discovery

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