New Textbook Release: Data Science for the Geosciences

We're excited to present "Data Science for the Geosciences," written by Lijing Wang, David Zhen Yin, and Jef Caers, a cutting-edge textbook addressing the rising significance of data science in Earth sciences. 

Real-world Cases, Data-scientific Methods for Geoscience

This book 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 mineral resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods.

Guided Learning, Accessible Teaching

Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. Students are encouraged to develop their understanding through intuitive reasoning and supplemental Python notebooks to learn and apply geoscientific data analysis to prediction problems. 

Discover more about the book through the Cambridge University Press website: Link to Book

Official publication date: 

  • UK/Europe, mid-August 2023

  • US/Canada, November 2023 

  • Further global publication dates will depend on shipping schedules 

You can pre-order the copy or request the instructor examination copy through the above link. 

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