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Integrating Data Science and Earth Science : Challenges and Solutions /

This open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in applying...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Bouwer, Laurens M. (Editor), Dransch, Doris (Editor), Ruhnke, Roland (Editor), Rechid, Diana (Editor), Frickenhaus, Stephan (Editor), Greinert, Jens (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2022.
Edition:1st ed. 2022.
Series:SpringerBriefs in Earth System Sciences,
Subjects:
Earth sciences.
Artificial intelligence-Data processing.
Statistics .
Mathematics.
Earth Sciences.
Data Science.
Statistics.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:This open access book presents the results of three years collaboration between earth scientists and data scientist, in developing and applying data science methods for scientific discovery. The book will be highly beneficial for other researchers at senior and graduate level, interested in applying visual data exploration, computational approaches and scientifc workflows.
Physical Description:1 online resource (XIV, 148 pages 47 illustrations in color)
ISBN:9783030995461
ISSN:2191-5903
DOI:10.1007/978-3-030-99546-1
Access:Open Access