Big Data: Techniques and Technologies in Geoinformatics

Author:   Hassan A. Karimi (University of Pittsburgh, Pennsylvania, USA)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781138073197


Pages:   312
Publication Date:   29 March 2017
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Big Data: Techniques and Technologies in Geoinformatics


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Overview

Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data efficiently and effectively. Big Data: Techniques and Technologies in Geoinformatics tackles these challenges head on, integrating coverage of techniques and technologies for storing, managing, and computing geospatial big data. Providing a perspective based on analysis of time, applications, and resources, this book familiarizes readers with geospatial applications that fall under the category of big data. It explores new trends in geospatial data collection, such as geo-crowdsourcing and advanced data collection technologies such as LiDAR point clouds. The book features a range of topics on big data techniques and technologies in geoinformatics including distributed computing, geospatial data analytics, social media, and volunteered geographic information. With chapters contributed by experts in geoinformatics and in domains such as computing and engineering, the book provides an understanding of the challenges and issues of big data in geoinformatics applications. The book is a single collection of current and emerging techniques, technologies, and tools that are needed to collect, analyze, manage, process, and visualize geospatial big data.

Full Product Details

Author:   Hassan A. Karimi (University of Pittsburgh, Pennsylvania, USA)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.467kg
ISBN:  

9781138073197


ISBN 10:   1138073199
Pages:   312
Publication Date:   29 March 2017
Audience:   College/higher education ,  College/higher education ,  Tertiary & Higher Education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Distributed and Parallel Computing, Monir H. Sharker and Hassan A. Karimi GEOSS Clearinghouse: Integrating Geospatial Resources to Support the Global Earth Observation System of Systems, Chaowei Yang, Kai Liu, Zhenlong Li, Wenwen Li, Huayi Wu, Jizhe Xia, Qunying Huang, Jing Li, Min Sun, Lizhi Miao, Nanyin Zhou, and Doug Nebert Using a Cloud Computing Environment to Process Large 3D Spatial Datasets, Ramanathan Sugumaran, Jeffrey Burnett, and Marc P. Armstrong Building Open Environments to Meet Big Data Challenges in Earth Sciences, Meixia Deng and Liping Di Developing Online Visualization and Analysis Services for NASA Satellite-Derived Global Precipitation Products during the Big Geospatial Data Era, Zhong Liu, Dana Ostrenga, William Teng, and Steven Kempler Algorithmic Design Considerations for Geospatial and/or Temporal Big Data, Terence van Zyl Machine Learning on Geospatial Big Data, Terence van Zyl Spatial Big Data: Case Studies on Volume, Velocity, and Variety, Michael R. Evans, Dev Oliver, Xun Zhou, and Shashi Shekhar Exploiting Big VGI to Improve Routing and Navigation Services, Mohamed Bakillah, Johannes Lauer, Steve H.L. Liang, Alexander Zipf, Jamal Jokar Arsanjani, Amin Mobasheri, and Lukas Loos Efficient Frequent Sequence Mining on Taxi Trip Records Using Road Network Shortcuts, Jianting Zhang Geoinformatics and Social Media: New Big Data Challenge, Arie Croitoru, Andrew Crooks, Jacek Radzikowski, Anthony Stefanidis, Ranga R. Vatsavai, and Nicole Wayant Insights and Knowledge Discovery from Big Geospatial Data Using TMC-Pattern, Roland Assam and Thomas Seidl Geospatial Cyberinfrastructure for Addressing the Big Data Challenges on the Worldwide Sensor Web, Steve H.L. Liang and Chih-Yuan Huang OGC Standards and Geospatial Big Data, Carl Reed Index

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