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Spring 2024 experimental focus on cloud-native geospatial technology

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Welcome

This course is based off of examples developed by Carl Boettiger with support of NASA TOPS funding, see Project Page.

This GitHub repository + notebook provides the real-time notes for our exploratory course, ESPM-288: Reproducible & Collaborative Data Science, which this year will focus on Cloud Native Geospatial Data in R & Python.

The website is built using quarto to render qmd and ipynb files, and is rendered and published automatically through GitHub Actions.

Users can use GitHub Codespaces to interactively run all files in the notebook for free and without installing any software.

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