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Data Science for the Geosciences - Wang, Lijing, and Yin, David Zhen, and Caers, Jef
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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 ...

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Data Science for the Geosciences 2023, Cambridge University Press, Cambridge

ISBN-13: 9781009201407

Trade paperback

Data Science for the Geosciences 2023, Cambridge University Press, Cambridge

ISBN-13: 9781009201414

Hardcover