University of Washington Geospatial Data Analysis with Python
Geospatial Data Analysis with Python
01: Shell and git/Github
Introduction
Demo
Exercises
02: Python and iPython/Jupyter
Introduction
Demo
Exercises
03: Numpy, Pandas and Matplotlib
Introduction
Demo: Matplotlib backends and Visualization Options
Demo: NumPy, Pandas, Matplotlib
Excercises
04: Intro, Geopandas, CRS, Projections
Introduction
Demo: GeoPandas
Demo: Global Projection Tradeoffs and Map Distortion - Tissot example
Excercises
05: Raster Fundamentals: GDAL, rasterio, Landsat-8
Introduction
Demo: Fundamentals, GDAL, rasterio Discussion
Demo: NumPy array masking, indexing, selection
Excercises 1
Excercises 2
06: Geometries, Spatial Operations, Visualization
Introduction
Excercises
07: Reprojection, Clipping, Sampling, Zonal Stats
Strategies for Dynamic DEM Data Download and Use
Excercises
08: Vector time series: SNOTEL data for the Western U.S.
Demo: Timestamp and Timedelta
Demo: GNSS Trajectory
Excercises
09: Multidimensional (N-d) Arrays: xarray, ERA5 Climate reanalysis
Demo: ERA5 Climate download
Excercises 1
Excercises 2
10: Conda, Dask, rioxarray
Excercises
.md
.pdf
repository
open issue
09: Multidimensional (N-d) Arrays: xarray, ERA5 Climate reanalysis
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Demo: ERA5 Climate download
