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Integrating Data Science and Earth Science : Challenges and Solutions / edited by Laurens M. Bouwer, Doris Dransch, Roland Ruhnke, Diana Rechid, Stephan Frickenhaus, Jens Greinert.
Springer Nature - Springer Nature Link Journals and eBooks - Fully Open Access Available online
View online- Format:
- Book
- Author/Creator:
- Bouwer, Laurens M.
- Series:
- SpringerBriefs in Earth System Sciences, 2191-5903
- Language:
- English
- Subjects (All):
- Earth sciences.
- Artificial intelligence--Data processing.
- Artificial intelligence.
- Statistics.
- Mathematics.
- Earth Sciences.
- Data Science.
- Local Subjects:
- Earth Sciences.
- Data Science.
- Statistics.
- Mathematics.
- Physical Description:
- 1 online resource (158 pages)
- Edition:
- 1st ed. 2022.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2022.
- Language Note:
- English
- 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.
- Contents:
- Data Science and Earth System Science
- The Digital Earth project: focus and agenda
- Data analysis and exploration with visual approaches
- Data analysis and exploration with computational approaches
- Data analysis and exploration with scientific workflows
- The Digital Earth SMART monitoring concept and tools
- Interdisciplinary collaboration
- Evaluating the success of the Digital Earth project
- Lessons learned in the Digital Earth project.
- ISBN:
- 3-030-99546-1
- OCLC:
- 1336714453
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