Big Data Analytics in Earth, Atmospheric, and Ocean Sciences

Applying tools for data analysis to the rapidly increasing volume of data about the Earth
 
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
 
The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.
 
Find out more in this Q&A with the editors.

Info autore

Thomas Huang, NASA Jet Propulsion Laboratory, USA
Tiffany C. Vance, NOAA Integrated Ocean Observing System, USA Christopher Lynnes, NASA Goddard Space Flight Center, USA (retd.)

Dettagli sul prodotto

• Con la collaborazione di: Thomas Huang (Editore), Christopher Lynnes (Editore), Vance Tiffany C. (Editore), Tiffany C Vance (Editore), Tiffany C. Vance (Editore)
• Autori: Thomas (Nasa Jet Propulsion Laboratory Huang
• Editore: Wiley, John and Sons Ltd
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 22.11.2022
• Categoria: Scienze naturali, medicina, informatica, tecnica > Geoscienze > Geologia
• EAN: 9781119467571
• ISBN: 978-1-119-46757-1
• Numero di pagine: 352
• Serie: Special Publications
• Categorie: Informatik, Medizin, Geowissenschaften, Big Data, computer science, Earth Sciences, Medical Science, Geology & Geophysics, Geologie u. Geophysik, Data Mining & Knowledge Discovery, Data Mining u. Knowledge Discovery, Informatik in der Radiologie, Informatics