Geocomputation with Julia

Welcome

This is the online home of Geocomputation with Julia, a book on reproducible geographic data analysis with open source software.

Inspired by the Free and Open Source Software for Geospatial (FOSS4G) movement this is an open source book. Find the code underlying the geocompjl project on GitHub, ensuring that the content is reproducible, transparent, and accessible. Making the book open source allows you or anyone else, to interact with the project by opening issues, making typo fixes and more, for the benefit of everyone.

This book is part of the geocompx series, following the popular R (Lovelace, Nowosad, and Muenchow 2025) and Python (Dorman et al. 2025) editions. It mimics the structure and partially reuses text from these editions.

The book’s website is built by GitHub Actions, which runs the code every time we make a change, ensuring code correctness and reproducibility. The current build status as follows:

For details on reproducing the book, see the README in the project’s GitHub repo: https://github.com/geocompx/geocompjl.

Dorman, Michael, Anita Graser, Jakub Nowosad, and Robin Lovelace. 2025. Geocomputation with Python. CRC Press.

Lovelace, Robin, Jakub Nowosad, and Jannes Muenchow. 2025. Geocomputation with r. Chapman; Hall/CRC.