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Integrating Data Science and Earth Science Challenges and Solutions
Materialtyp:
ArtikelSerie: Utgivningsinformation: Cham Springer Nature Springer [Imprint] 2022Beskrivning: 1 electronic resource (148 p.)Innehållstyp: - text
- computer
- online resource
- 9783030995461
- Mathematics and Science
- Mathematics
- Probability and statistics
- Earth Sciences, Geography, Environment, Planning
- Earth sciences
- Computing and Information Technology
- Computer programming / software engineering
- Algorithms & data structures
- Computer science
- Artificial intelligence
- Computational data exploration
- Digital Earth
- Environment
- Geography
- Machine learning
- P Mathematics and Science
- PB Mathematics
- PBT Probability and statistics
- Planning
- R Earth Sciences
- RB Earth sciences
- SMART monitoring
- U Computing and Information Technology
- UM Computer programming
- UMB Algorithms and data structures
- UY Computer science
- UYQ Artificial intelligence
- Visual data exploration
- software engineering
- thema EDItEUR
Inga fysiska exemplar för denna post
Open Access Unrestricted online access star
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.
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Creative Commons Licence cc by cc http://creativecommons.org/licenses/by/4.0/
eng
Freely available e-book