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Syllabus
Resources for Students
Resources for Instructors
Technical Resources
Final Project
Code of Conduct

Modules

01: Introduction - Github and Python
02: Core python modules - Numpy, Pandas, and Matplotlib
03: Vector 1 - Vector IO, CRS, projections & distortion
04: Raster 1 - Raster IO, basic properties, visualization, sampling, band math
05: Vector 2 - Geometric operations, spatial joins, and visualization
- Vector 2: Geometries, Spatial Operations and Visualization Demo
- Lab 05 assignment (20 pts)
06: Raster 2 - Reprojection, clipping, spatial aggregation, zonal stats
07: NDarrays - Raster time series analysis, temporal aggregation, regression in time, PCA/EOF analysis
08: Geostatistics - spatiotemporal analysis, spatial autocorrelation, interpolation
09: Advanced workflows - Geospatial software design, APIs, STAC, dask, shell scripting, and more!
10: Managing environments - Conda and migrating off the course Jupyterhub

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Technical Resources

Technical Resources#

Git and Github
Jupyter Notes, FAQ, Troubleshooting, and Tips
Shell
Conda
Misc. Core Package Notes, Tips
QGIS
Migrating from course Jupyterhub

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Instructor thoughts and lessons learned

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Github and Github Classroom Notes

By David Shean

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