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230413 ||| eng |
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|a 9781119467557
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| 050 |
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4 |
|a QE48.8
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| 100 |
1 |
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|a Huang, David
|e [editor]
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| 245 |
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|a Big Data Analytics in Earth, Atmospheric, and Ocean Sciences
|h Elektronische Ressource
|c Edited by David Huang, Tiffany C. Vance and Christopher Lynnes
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| 250 |
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|a First edition
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| 260 |
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|a Hoboken, NJ
|b Wiley
|c 2022
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| 300 |
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|a xvii, 328 Seiten
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| 700 |
1 |
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|a Vance, Tiffany C.
|e [editor]
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| 700 |
1 |
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|a Lynnes, Christopher
|e [editor]
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b WILOB
|a Wiley Online Books
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| 028 |
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|a 10.1002/9781119467557
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| 776 |
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|z 9781119467571
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| 856 |
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|u https://doi.org/10.1002/9781119467557
|x Verlag
|3 Volltext
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|a 551
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|a 550.285
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| 520 |
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|a An ever-increasing volume of Earth data is being gathered. These data are “big” not only in size but also in their complexity, different formats, and varied scientific disciplines. As such, big data are disrupting traditional research. New methods and platforms, such as the cloud, are tackling these new challenges. Big Data Analytics in Earth, Atmospheric, and Ocean Sciences explores new tools for the analysis and display of the rapidly increasing volume of data about the Earth. Volume highlights include: An introduction to the breadth of big earth data analytics - Architectures developed to support big earth data analytics - Different analysis and statistical methods for big earth data - Current applications of analytics to Earth science data - Challenges to fully implementing big data analytics.
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