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Taylor & Francis Group
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Boca Raton, FL 33487-2742
© 2014 by Taylor & Francis Group, LLC
CRC Press is an imprint of Taylor & Francis Group, an Informa business
No claim to original U.S. Government works
Version Date: 20140108
International Standard Book Number-13: 978-1-4665-8655-0 (eBook - PDF)
2014-9-19 18:57 上传下载附件 (10.05 KB)
Chapter 1 provides an overview of distributed computing, high-performance computing,
cluster computing, grid computing, supercomputing, and cloud computing.
Chapter 2 describes the Global Earth Observation System of Systems Clearinghouse,
an infrastructure that facilitates integration and access to Earth observation data for
global communities. Chapter 3 discusses a cloud computing environment (CCE) for
processing large 3D spatial datasets and illustrates the application of the CCE using a
case study. Chapter 4 describes building open environments as a means of overcoming
the challenges of big data in Earth sciences. Chapter 5 discusses the development
of visualization and analysis services for NASA’s global participation products.
Chapter 6 addresses the design of algorithms suitable for geospatial and temporal big
data. In Chapter 7, various machine learning techniques for geospatial big data analytics
are discussed. Chapter 8 describes the three Vs of geospatial big data and presents
a case study for each of them. Big data opportunities in volunteered geographic
information to improve routing and navigation services are explored in Chapter 9.
Chapter 10 presents a discussion of data mining of taxi trips using road network shortcuts.
Big data challenges in social media are outlined in Chapter 11. Chapter 12 presents
a pattern detection technique called TCM-Pattern to provide insights into big
data. Chapter 13 discusses a geospatial cyberinfrastructure for addressing big data
challenges on the World Wide Web. Chapter 14 provides a review of Open Geospatial
Consortium (OGC) standards that address geospatial big data.
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