Data Science for the Geosciences

This book offers foundational data science knowledge tailored for Earth science applications, emphasizing real-world case studies and practical exercises.

In Data Science for the Geosciences, students and instructors are introduced to the essential data science foundations necessary for tackling pressing Earth science questions. This accessible text employs real-world case studies to illustrate how statistical and machine learning techniques can be applied to various topics such as natural hazards, climate change, and environmental contamination. By focusing on intuitive reasoning, the book encourages readers to engage with the material without becoming overwhelmed by complex mathematics.

The book emphasizes practical applications, guiding readers through the analysis of geoscientific data that often includes extremes, multivariate aspects, and geospatial considerations. Step-by-step instructions are provided for each method, making it easy for students to follow along and apply their learning to solve real-world problems. This structured approach ensures that readers can make meaningful interpretations of their findings, enhancing their understanding of data science in the context of Earth sciences.

Additionally, Data Science for the Geosciences includes homework exercises designed to reinforce concepts and skills, along with supplemental Python notebooks that allow students to experiment with actual datasets from around the globe. This hands-on experience is particularly beneficial for those with limited backgrounds in mathematics or coding, making the text an ideal resource for a diverse audience eager to explore the intersection of data science and geoscience.