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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Hlavní autor: Bouwer, Laurens M.
Médium: E-kniha Kniha
Jazyk:angličtina
Vydáno: Cham Springer 2022
Springer Nature
Springer International Publishing AG
Helmholtz Association
Vydání:1
Edice:SpringerBriefs in Earth System Sciences
Témata:
Algorithms and data structures
Artificial intelligence
Artificial intelligence—Data processing
Computational data exploration
Computer programming / software engineering
Computer science
Computer Technology
Computing and Information Technology
Digital Earth
Earth sciences
Earth Sciences, Geography, Environment, Planning
Machine learning
Mathematics
Mathematics and Science
Nonfiction
Probability and statistics
Science
SMART monitoring
Statistics
Visual data exploration
ISBN:9783030995454, 3030995453, 9783030995461, 3030995461
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Abstract 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.
AbstractList 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.
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.
Author Bouwer, Laurens M.
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EISBN 9783030995461
3030995461
Edition 1
1st ed. 2022.
Editor Rechid, Diana
Bouwer, Laurens M
Ruhnke, Roland
Dransch, Doris
Frickenhaus, Stephan
Greinert, Jens
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Notes Includes bibliographical references
Electronic reproduction. Dordrecht: Springer, 2022. Requires the Libby app or a modern web browser.
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SubjectTerms Algorithms and data structures
Artificial intelligence
Artificial intelligence—Data processing
Computational data exploration
Computer programming / software engineering
Computer science
Computer Technology
Computing and Information Technology
Digital Earth
Earth sciences
Earth Sciences, Geography, Environment, Planning
Machine learning
Mathematics
Mathematics and Science
Nonfiction
Probability and statistics
Science
SMART monitoring
Statistics
Visual data exploration
SubjectTermsDisplay Computer Technology.
Electronic books.
Nonfiction.
Science.
Title Integrating data science and earth science : challenges and solutions
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