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  • Book
  • Open Access
  • © 2022

Integrating Data Science and Earth Science

Challenges and Solutions

  • 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)

  • 1780 Accesses

Buying options

Softcover Book USD 37.99
Price excludes VAT (USA)

Table of contents (9 chapters)

  1. Front Matter

    Pages i-xiv
  2. Data Science and Earth System Science

    • Wolfgang zu Castell, Roland Ruhnke, Laurens M. Bouwer, Holger Brix, Peter Dietrich, Doris Dransch et al.
    Pages 1-6Open Access
  3. The Digital Earth Project: Focus and Agenda

    • Roland Ruhnke, Diana Rechid, Doris Dransch, Laurens M. Bouwer, Holger Brix, Peter Dietrich et al.
    Pages 7-16Open Access
  4. Data Analysis and Exploration with Visual Approaches

    • Everardo González Ávalos, Doris Dransch, Nicola Abraham, Valentin Buck, Daniel Eggert, Tom Kwasnitschka et al.
    Pages 17-28Open Access
  5. Data Analysis and Exploration with Computational Approaches

    • Viktoria Wichert, Laurens M. Bouwer, Nicola Abraham, Holger Brix, Ulrich Callies, Everardo González Ávalos et al.
    Pages 29-53Open Access
  6. Data Analysis and Exploration with Scientific Workflows

    • Doris Dransch, Daniel Eggert, Nicola Abraham, Laurens M. Bouwer, Holger Brix, Ulrich Callies et al.
    Pages 55-84Open Access
  7. The Digital Earth Smart Monitoring Concept and Tools

    • Uta Koedel, Peter Dietrich, Philipp Fischer, Jens Greinert, Ulrich Bundke, Ewa Burwicz-Galerne et al.
    Pages 85-120Open Access
  8. Interdisciplinary Collaboration

    • Nike Fuchs, Gesche Krause
    Pages 121-129Open Access
  9. Evaluating the Success of the Digital Earth Project

    • Laurens M. Bouwer, Diana Rechid, Bernadette Fritzsch, Daniela Henkel, Thomas Kalbacher, Werner Köckeritz et al.
    Pages 131-143Open Access
  10. Lessons Learned in the Digital Earth Project

    • Jens Greinert, Daniela Henkel, Doris Dransch, Laurens M. Bouwer, Holger Brix, Peter Dietrich et al.
    Pages 145-148Open Access

About this book

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.

Keywords

  • Machine learning
  • SMART monitoring
  • Computational data exploration
  • Digital Earth
  • Visual data exploration
  • Open access

Editors and Affiliations

  • Climate Service Center Germany (GERICS), Helmholtz-Zentrum Hereon, Hamburg, Germany

    Laurens M. Bouwer, Diana Rechid

  • Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences, Potsdam, Germany

    Doris Dransch

  • Karlsruhe Institute of Technology, Eggenstein-Leopoldshafen, Germany

    Roland Ruhnke

  • Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Bremerhaven, Germany

    Stephan Frickenhaus

  • GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany

    Jens Greinert

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

  • License: CC BY

  • Softcover ISBN: 978-3-030-99545-4

  • eBook ISBN: 978-3-030-99546-1

  • 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, Data Science, Statistics, Mathematics

Buying options

Softcover Book USD 37.99
Price excludes VAT (USA)