Data Science for the Geosciences
Language: English
Published by Cambridge University Press, GB, 2023
- Hardcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
£ 149.56
Quantity: Over 20 available
Add to basketItem description from seller
Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide.…
Seller Inventory # LU-9781009201414
- Title
- Data Science for the Geosciences
- Author
- Lijing Wang, David Zhen Yin, Jef Caers
- Publisher
- Cambridge University Press, GB
- Publication year
- 2023
- Condition
- New
- Binding
- Hardback
- Language
- English
- ISBN 10
- 1009201417
- ISBN 13
- 9781009201414
- Item weight
- 840 grams
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Zhen Yin is a research scientist and co-founder of the Stanford Mineral-X (https://mineralx.stanford.edu/) at Stanford Doerr School of Sustainability. His research developments in data science have been implemented in various subjects, including Antarctica topographic modeling, critical mineral explorations in Asia/North America/Africa, and North Sea projects. He was previously a Research Associate at the Edinburgh Time-Lapse Project in Scotland, leading a research collaboration with Equinor from 2016 to 2018, and a Postdoctoral Fellow at the Stanford Chevron Center of Research Excellence from 2018 to 2021.
Dr. Jef Caers is Professor of Earth and Planetary Sciences in the Stanford Doerr School of Sustainability. He is the author of a wide range of journal papers across mathematics, statistics, geological sciences, geophysics, engineering and computer science, and four other books. He has received several best paper awards, as well as the 2001 Vistelius Award from the International Association for Mathematical Geosciences (IAMG) and the 2014 Krumbein Medal from the IAMG for his career achievement.
"About the title" may belong to another edition of this title.
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