Integrating Data Science and Earth Science : Challenges and Solutions

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
Main Author: Bouwer, Laurens M. (-)
Other Authors: Dransch, Doris, Ruhnke, Roland, Rechid, Diana, Frickenhaus, Stephan, Greinert, Jens
Format: eBook
Language:Inglés
Published: Cham Springer Nature 2022
Cham : 2022.
Series:SpringerBriefs in Earth System Sciences
Subjects:
Earth sciences
Algorithms & data structures
Artificial intelligence
Probability & statistics
Mathematics
Machine learning
SMART monitoring
Computational data exploration
Digital Earth
Visual data exploration
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009673536806719
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 (158 pages)
ISBN:9783030995461

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