Spatial Data Management
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Spatial Data Management
Author: Nikos Mamoulis
language: en
Publisher: Morgan & Claypool Publishers
Release Date: 2011-12-11
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
Spatial Databases
The authors explore and explain current techniques for handling the specialised data that describes geographical phenomena in a study that will be of great value to computer scientists and geographers working with spatial databases.
Spatial Database Systems
Author: Albert K.W. Yeung
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-05-23
The decision to write this book was motivated by a number of factors. First, although several useful textbooks on spatial databases have recently been published, this is an area of spatial information science that has lagged somewhat behind the rapid advances of the technology and the profusion of books on domain-specific applications. Second, much of the information pertaining to spatial database technologies is only available in scattered journal papers and conference proceedings, and prior to this book no single effort has been made to sift through this expansive literature and unite the key contributions in a single volume. The tasks of sourcing and coherently integrating relevant contributions is daunting for students, many of whom have a substantial number of competing demands placed on them. This book should make the task of knowledge building less daunting. Third, and perhaps most importantly, an apparent trend in many spatial information science programs is to focus, from first or second year undergraduate through to fourth year courses, on learning to work confidently and independently with increasingly complex software tools. Hence, many courses are technical in nature, and while they continue to produce technically adept students, knowledge of the broader aspects of spatial databases is often not as complete as it might be among graduates. Some programs have sought to address this by introducing courses that focus on spatial data management. However, these courses are largely unsupported by a relevant and contemporary textbook.