Data Science for the Geosciences
- Textbook
Description
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…
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Key features
- Provides step-by-step instruction for each method, allowing students to easily put their skills into practice
- Uses real earth datasets and case studies to address Earth science questions across a range of disciplines
- Focuses on intuitive reasoning without the need for complex mathematics or prior coding experience
Keywords
About the book
- DOI https://doi.org/10.1017/9781009201391
- Subjects Climate,Earth and Environmental Science: General Interest,Earth and Environmental Sciences
- Format: Paperback
- Publication date: 19 October 2023
- ISBN: 9781009201407
- Dimensions (mm): 254 x 203 mm
- Weight: 0.65kg
- Page extent: 250 pages
- Availability: In stock
- Format: Hardback
- Publication date: 19 October 2023
- ISBN: 9781009201414
- Dimensions (mm): 254 x 203 mm
- Weight: 0.84kg
- Page extent: 250 pages
- Availability: Available
- Format: Digital
- Publication date: 25 August 2023
- ISBN: 9781009201391
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