Data Science for the Geosciences

Data Science for the Geosciences is a textbook that teaches students and instructors how to use statistical and machine learning techniques to address Earth science questions using real-world case studies. It emphasizes intuitive reasoning and provides step-by-step instructions for each method, making it accessible to those with limited mathematical or coding experience.

Format: Paperback / softback
Length: 250 pages
Publication date: 31 July 2023
Publisher: Cambridge University Press

Data Science for the Geosciences is a comprehensive textbook that equips students and instructors with the essential statistical and machine learning foundations to address Earth science questions through real-world case studies in natural hazards, climate change, environmental contamination, and Earth resources. The book focuses on techniques that address common characteristics of geoscientific data, such as extremes, multivariate analysis, compositional analysis, geospatial analysis, and space-time methods. Step-by-step instructions are provided, making it easy for readers to follow the protocols for each method, solve their geoscientific problems, and make interpretations. With an emphasis on intuitive reasoning throughout, the book encourages students to develop their understanding without the need for complex mathematics, making it an ideal text for those with limited mathematical or coding experience. To further enhance learning, the book includes homework exercises that focus on data scientific analysis, modeling, and prediction problems, as well as supplemental Python notebooks that can be applied to real datasets worldwide. By utilizing these resources, students can test their skills and apply their knowledge to real-world scenarios, making Data Science for the Geosciences an invaluable resource for anyone interested in advancing their understanding of Earth science.

Weight: 660g
Dimension: 202 x 255 x 17 (mm)
ISBN-13: 9781009201407