Cartography with Python
summary
Pipeline shows how to go from tweets to a publishable map: read point features with Fiona, dump coordinates to a numpy array, cluster with scipy (typical cutoff 100 m), build convex hulls and buffers with Shapely, fetch imagery with rasterio and plot with Cartopy + matplotlib. Notes that GDAL Python bindings are awkward, Fiona expects consistent schemas, raster bands index from one, and avoid reprojecting rasters where possible because it is lossy and slow.
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chapters (13)
- 0:00Intro
- 0:42Spatial Analysis
- 2:24Why Python
- 4:15Spatial Data
- 8:24Goals
- 9:03Fiona
- 11:04Geojson
- 12:06Filtering
- 13:44Shapely
- 16:12Band
- 16:38Plotting
- 17:48Projections
- 19:28Image Projection
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