Overview
- Contains various examples and applications of visual data exploration and computational approaches
- Includes a framework and its application for the evaluation of the success of research projects
- Provides in depth examples of SMART monitoring and data FAIRness
Part of the book series: SpringerBriefs in Earth System Sciences (BRIEFSEARTHSYST)
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Table of contents (9 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Integrating Data Science and Earth Science
Book Subtitle: Challenges and Solutions
Editors: Laurens M. Bouwer, Doris Dransch, Roland Ruhnke, Diana Rechid, Stephan Frickenhaus, Jens Greinert
Series Title: SpringerBriefs in Earth System Sciences
DOI: https://doi.org/10.1007/978-3-030-99546-1
Publisher: Springer Cham
eBook Packages: Earth and Environmental Science, Earth and Environmental Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022
Softcover ISBN: 978-3-030-99545-4Published: 15 July 2022
eBook ISBN: 978-3-030-99546-1Published: 14 July 2022
Series ISSN: 2191-589X
Series E-ISSN: 2191-5903
Edition Number: 1
Number of Pages: XIV, 148
Number of Illustrations: 47 illustrations in colour
Topics: Earth Sciences, general, Data Structures and Information Theory, Artificial Intelligence, Statistics, general, Mathematics, general