Integrating Data Science and Earth Science - Challenges and Solutions.

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Bouwer, Laurens M., Dransch, Doris, Ruhnke, Roland, Rechid, Diana, Frickenhaus, Stephan and Greinert, Jens , eds. and Helmholtz (2022) Integrating Data Science and Earth Science - Challenges and Solutions. Open Access . SpringerBriefs in Earth System Sciences . Springer, Cham, Switzerland, XIV, 148 pp. ISBN 978-3-030-99546-1 DOI 10.1007/978-3-030-99546-1.

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Supplementary data:

Abstract

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

Document Type: Book
Additional Information: 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
Research affiliation: OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-MG Marine Geosystems
HGF-KIT
OceanRep > GEOMAR > FB2 Marine Biogeochemistry > FB2-MG Marine Geosystems > FB2-MG Marine Geosystems DeepSea Monitoring
HGF-Hereon
HGF-GFZ
HGF-AWI
Main POF Topic: PT6: Marine Life
Publisher: Springer
Projects: Digital Earth
Date Deposited: 19 Dec 2022 14:27
Last Modified: 07 Feb 2024 15:37
URI: https://oceanrep.geomar.de/id/eprint/57483

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