| Description |
1 online resource (xiv, 298 pages) : illustrations, maps |
| Contents |
Chapter 1. Distributed and parallel computing / Monir H. Sharker and Hassan A. Karimi -- chapter 2. 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 -- chapter 3. Using a cloud computing environment to process large 3D spatial datasets / Ramanathan Sugumaran, Jeffrey Burnett, and Marc P. Armstrong -- chapter 4. Building open environments to meet big data challenges in earth sciences / Meixia Deng and Liping Di -- chapter 5. 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 -- chapter 6. Algorithmic design considerations for geospatial and/or temporal big data / Terence van Zyl -- chapter 7. Machine learning on geospatial big data / Terence van Zyl -- chapter 8. Spatial big data : case studies on volume, velocity, and variety / Michael R. Evans, Dev Oliver, Xun Zhou, and Shashi Shekhar -- chapter 9. 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 -- chapter 10. Efficient frequent sequence mining on taxi trip records using road network shortcuts / Jianting Zhang -- chapter 11. Geoinformatics and social media : new big data challenge / Arie Croitoru, Andrew Crooks, Jacek Radzikowski, Anthony Stefanidis, Ranga R. Vatsavai, and Nicole Wayant -- chapter 12. Insights and knowledge discovery from big geospatial data using TMC-pattern / Roland Assam and Thomas Seidl -- chapter 13. Geospatial cyberinfrastructure for addressing the big data challenges on the worldwide sensor web / Steve H.L. Liang and Chih-Yuan Huang -- chapter 14. OGC standards and geospatial big data / Carl Reed |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
English |
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Print version record |
| Subject |
Geography -- Data processing
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Big data.
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Geographic information systems.
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Geospatial data.
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High performance computing.
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Geographic Information Systems
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geographic information systems.
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SCIENCE -- Earth Sciences -- Geography.
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TRAVEL -- Budget.
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TRAVEL -- Hikes & Walks.
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TRAVEL -- Museums, Tours, Points of Interest.
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TRAVEL -- Parks & Campgrounds.
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Big data
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Geographic information systems
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Geography -- Data processing
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Geospatial data
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High performance computing
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Geoinformatik
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Big Data
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| Genre/Form |
geographic information systems.
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Geographic information systems
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Geospatial data
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Geographic information systems.
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Geospatial data.
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Systèmes d'information géographique.
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Données géospatiales.
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| Form |
Electronic book
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| Author |
Karimi, Hassan A., editor, author
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| ISBN |
9781466586550 |
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1466586559 |
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