Geospatial Data Analysis with Python

Geospatial Data Analysis with Python

Resources

Syllabus
Resources for Students
- Student Initial Setup
- Student weekly workflow
Resources for Instructors
Technical Resources
Final Project
- Open Data for Projects
Code of Conduct

Modules

01: Shell and git/Github
02: Python and iPython/Jupyter
03: Numpy, Pandas and Matplotlib
04: Vector1, Geopandas, CRS, Projections
05: Raster Fundamentals: GDAL, rasterio, Landsat-8
06: Geometries, Spatial Operations, Visualization
07: Reprojection, Clipping, Sampling, Zonal Stats
08: Vector time series: SNOTEL data for the Western U.S.
09: Multidimensional (N-d) Arrays: xarray, ERA5 Climate reanalysis
10: Conda, Dask, Pangeo
- Excercises

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07: Reprojection, Clipping, Sampling, Zonal Stats

07: Reprojection, Clipping, Sampling, Zonal Stats¶

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Vector 2: Geometries, Spatial Operations and Visualization Exercises

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Introduction

By David Shean
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