This is the official website for the book Earth Engine with R. The book is intended for R users who wish to learn how to use R and Google Earth Engine in the same workflow. There is a full overview of the GEE API functionality, multiple real-world applications, and a detailed description of all rgee and rgeeExtra features. The majority of the examples are directly adapted from the original Earth Engine documentation and rebuilt in R.
If you find the book useful, please support it by:
- Starring rgee, rgeeExtra, or rgeebook GitHub repositories.
- Communicating about the book in digital media, e.g., via Twitter.
- Asking questions about, making suggestions, or even better, proposing a PR on Github.
This book was written by Junior Calvo, Fernando Herrera, Karen Gonzales, Joselyn Inga and Cesar Aybar. We gratefully acknowledge financial support from the
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
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“Geocomputation with R” by Robin Lovelace, Jakub Nowosad, and Jannes Muenchow, introduces R for manipulating and visualizing geographic data.
“Spatial Data Science” by Edzer Pebesma and Roger Bivand, is another excellent great resource for geographic data but focused on analysis.
“R for Data Science” by Hadley Wickham and Garrett Grolemund, introduces you to R as a data science tool, with a particular emphasis on the tidyverse package.