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GEOG 213/313: Advanced Geospatial Analytics with Python

Introduction

Syllabus
Team
Schedule
Assessment
Resources
Policies

Lectures

1. Intro to Unix and Bash
2. Intro to Version Control and Git
3. Python Environments
4. Intro to JupyterLab
5. Geospatial Landscape
6. Review of CRS
7. CRS and Projections in Python
8. Intro to Docker
9. Searching a STAC Catalog
10. Intro to Dask & Dask Array
11. Scaling stackstac w Dask
12. Into to Dask DataFrame
13. Review of Raster Data
14. Raster Data in Python
15. Raster Data Processing
16. Review of Vector Data
17. Vector Data in Python
18. Intro to Dask-GeoPandas
19. Scalable Vector Analysis
20. Xarray Fundamentals
21. Workflows in Python
22. Writing Pseudocode
23. Workflow Best Practices

Assignments

Assignment 1
Assignment 2
Assignment 3
Assignment 4
Assignment 5
Assignment 6
Assignment 7

Appendices

License
References

Repository
Open issue

.md

License

License#

All the content for this course that are provided on this website are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.

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References

By Hamed Alemohammad

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