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Author: Nikos Mamoulis Publisher: Morgan & Claypool Publishers ISBN: 1608458326 Category : Computers Languages : en Pages : 152
Book Description
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
Author: Philippe Rigaux Publisher: Morgan Kaufmann ISBN: 9781558605886 Category : Computers Languages : en Pages : 444
Book Description
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.
Author: Albert K.W. Yeung Publisher: Springer Science & Business Media ISBN: 1402053924 Category : Science Languages : en Pages : 555
Book Description
This book places spatial data within the broader domain of information technology (IT) while providing a comprehensive and coherent explanation of the guiding principles, methods, implementation and operational management of spatial databases within the workplace. The text explains the key concepts, issues and processes of spatial data implementation and provides a holistic management perspective.
Author: Nikos Mamoulis Publisher: Morgan & Claypool Publishers ISBN: 1608458326 Category : Computers Languages : en Pages : 152
Book Description
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
Author: Stephen R. Galati Publisher: Artech House Publishers ISBN: Category : Geographic information systems Languages : en Pages : 320
Book Description
Geographic information systems (GIS)--a central repository of geographic data collected from various sources, including satellites and GPS--is emerging as one of the most intriguing and promising high-tech fields. This easy-to-understand resource provides technical and nontechnical professionals, regardless of their background, with an accessible and practical guide to important GIS know-how.
Author: Nikos Mamoulis Publisher: Springer Nature ISBN: 3031018842 Category : Computers Languages : en Pages : 133
Book Description
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
Author: Arie Shoshani Publisher: CRC Press ISBN: 9781420069815 Category : Computers Languages : en Pages : 590
Book Description
Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive time. Scientific Data Management: Challenges, Technology, and Deployment describes cutting-edge technologies and solutions for managing and analyzing vast amounts of data, helping scientists focus on their scientific goals. The book begins with coverage of efficient storage systems, discussing how to write and read large volumes of data without slowing the simulation, analysis, or visualization processes. It then focuses on the efficient data movement and management of storage spaces and explores emerging database systems for scientific data. The book also addresses how to best organize data for analysis purposes, how to effectively conduct searches over large datasets, how to successfully automate multistep scientific process workflows, and how to automatically collect metadata and lineage information. This book provides a comprehensive understanding of the latest techniques for managing data during scientific exploration processes, from data generation to data analysis. Enhanced by numerous detailed color images, it includes real-world examples of applications drawn from biology, ecology, geology, climatology, and more. Check out Dr. Shoshani discuss the book during an interview with International Science Grid This Week (iSGTW): http://www.isgtw.org/?pid=1002259
Author: Geo Report Publisher: Independently Published ISBN: Category : Languages : en Pages : 0
Book Description
Geospatial Database Management System: Fundamentals, Applications, and Challenges Description: Uncover the secrets of effective geospatial data management with this comprehensive and accessible guide. Whether you're a Geoinformation professional, student, or enthusiast, this book provides an in-depth exploration of the fundamentals, practical applications, and challenges faced in geospatial data management. **Book Highlights: ** 1. **Comprehensive Approach: ** From basics to advanced applications, this book guides readers through a complete journey in understanding and managing geographic data. 2. **Practical Case Studies: ** Explore real implementation cases, from municipal systems to precision agriculture applications, to gain valuable insights into how geospatial data drives tangible outcomes. 3. **Challenges and Solutions: ** Tackle the most pressing challenges in collecting, processing, and analyzing geographic data. Discover effective strategies to ensure accuracy, security, and ethical handling of this sensitive information. 4. **Emerging Technologies: ** Stay ahead of the curve with an exploration of the latest technologies, including AI, machine learning, augmented reality, and more, and discover how they are transforming the landscape of geospatial data. 5. **Practical Guide for Professionals and Students: ** Whether you're an experienced professional or a beginner, this book offers a practical and applicable approach, with insights that can be immediately implemented in real-world contexts. Unravel the mysteries behind geospatial data and empower yourself with the skills needed to face the challenges of the future. This book is an indispensable resource for all those looking to delve into the vast and exciting world of geospatial data. *Note: This is an informative book and does not include access to specific geospatial database software.* Don't miss the opportunity to acquire solid knowledge about geospatial data. Get your copy of the "Geospatial Database Management System" now and embark on a journey of discovery and learning.
Author: Nauman Chaudhry Publisher: Springer Science & Business Media ISBN: 0387252290 Category : Computers Languages : en Pages : 179
Book Description
Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming applications pose new and interesting challenges for data management systems. Such application domains require queries to be evaluated continuously as opposed to the one time evaluation of a query for traditional applications. Streaming data sets grow continuously and queries must be evaluated on such unbounded data sets. These, as well as other challenges, require a major rethink of almost all aspects of traditional database management systems to support streaming applications. Stream Data Management comprises eight invited chapters by researchers active in stream data management. The collected chapters provide exposition of algorithms, languages, as well as systems proposed and implemented for managing streaming data. Stream Data Management is designed to appeal to researchers or practitioners already involved in stream data management, as well as to those starting out in this area. This book is also suitable for graduate students in computer science interested in learning about stream data management.
Author: Nikos Mamoulis
Author: Philippe Rigaux
Author: Albert K.W. Yeung
Author: Nikos Mamoulis
Author: Stephen R. Galati
Author: Michael Zeiler
Author: Hanan Samet
Author: Nikos Mamoulis
Author: Arie Shoshani
Author: Geo Report
Author: Nauman Chaudhry