~/talk

Using the Shapely Package for the Care and Feeding of your 2-D Spatial Data

Talkat PyOhio 2014 · 2014-07-26..07-27· [data-visualization]
links:none on file
slides:none on file

Shows concrete Shapely code for reading TIGER shapefiles with Fiona, creating buffers and unions, and simplifying 50k-point coastlines down to a few dozen points; demonstrates denoising by area using great‑circle normalization and removes tiny islands (example: drop islands under 250 sq mi in Hawaii). Covers validity checks and fixes (explain_validity, zero-width buffer), warns that buffer is the duct tape of Shapely and that simplify preserves topology is slower, and gives usable notebooks and pitfalls.

AI-written summary · about

  1. 0:00Start
  2. 0:02Geospatial Data Projection
  3. 0:13Data Production
  4. 6:23Line Strings
  5. 7:28Combining Multiple Shapes
  6. 7:57Multi Polygon
  7. 8:45Get Shapes from a File
  8. 12:55Simplifying Shapes
  9. 15:23The Douglas Quaker Algorithm
  10. 17:25Convex Hull
  11. 19:28Cascade of Union and Unary Union
  12. 20:41Unary Unions
  13. 21:04Intersection
  14. 21:27Difference
  15. 22:02Broken Shapes
  16. 22:35Explain Validity
  17. 23:27Example of Self Interval Intersection
  18. 24:51Annealing
  19. 26:09Stack Trace
  20. 31:38Zip Codes from Outside Vendors
  21. 33:48Smoothing Algorithm
  22. 34:56Great Circle Distance
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