Introduction to Environmental Data Science

Discover the essential techniques of data science with Introduction to Environmental Data Science by Jerry Davis. Published in 2023 by Taylor & Francis Ltd, this comprehensive hardback edition spans 382 pages, making it a vital resource for anyone interested in environmental research. This book delves into the application of data science methods using the R programming language, equipping readers with the skills needed for effective exploratory data analysis. You will learn about crucial topics such as data abstraction, transformation, and visualization, as well as spatial data analysis utilizing both vector and raster models. Ideal for students and professionals alike, this text provides a robust foundation for understanding and applying data science in environmental contexts. Enhance your research capabilities and gain insights into the world of environmental data science with this indispensable guide.