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GEOG 213/313: Advanced Geospatial Analytics with Python
Introduction
Syllabus
Team
Schedule
Assessment
Resources
Policies
Lectures
1. Intro to Unix
2. Intro to Version Control and Git
3. Python Environments
4. Intro to JupyterLab
5. Intro to Docker
6. Geospatial Landscape
7. Searching a STAC Catalog
8. Intro to Dask & Dask Array
9. Scaling stackstac w Dask
10. Into to Dask DataFrame
11. Review of CRS
12. CRS and Projections in Python
13. Review of Vector Data
14. Vector Data in Python
15. Intro to Dask-GeoPandas
16. Scalable Vector Analysis
17. Review of Raster Data
18. Raster Data in Python
19. Raster Data Processing
20. Xarray Fundamentals
21. Advanced Xarray Operations
22. Workflows in Python
23. Writing Pseudocode
24. Workflow Best Practices
Assignments
Assignment 1
Assignment 2
Assignment 3
Assignment 4
Appendices
License
References
Repository
Open issue
Index