Integrating Data Science and Earth Science
Challenges and Solutions
Contributor(s)
Bouwer, Laurens M. (editor)
Dransch, Doris (editor)
Ruhnke, Roland (editor)
Rechid, Diana (editor)
Frickenhaus, Stephan (editor)
Greinert, Jens (editor)
Language
EnglishAbstract
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 explorationDOI
10.1007/978-3-030-99546-1ISBN
9783030995461, 9783030995461Publisher
Springer NaturePublisher website
https://www.springernature.com/gp/products/booksPublication date and place
Cham, 2022Grantor
Imprint
SpringerSeries
SpringerBriefs in Earth System Sciences,Classification
Earth sciences
Algorithms and data structures
Artificial intelligence
Probability and statistics
Mathematics