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S. Rey and L. Anselin - A Python Library of Spatial Analytical Functions (PySAL)

1. PySAL
2. Outline
3. Outline
4. PySAL Origins
5. Beyond CSISS
6. PySAL Objectives
7. GeoDa Center
8. Outline
9. PySAL Philosophy
10. Why Python?
11. Outline
12. PySAL Components
13. PySAL Components
14. PySAL Components
15. PySAL Components
16. Outline
17. Using PySAL: regular Python module
18. Spatial Weights Component
19. Spatial Weights Construction
20. Spatial Weights Transformations
21. Spatial Weights Transformations: Back to Binary
22. Spatial Weights: transformation as a property
23. Spatial Weights Characteristics
24. Spatial Weights Methods: full
25. Spatial Weights Methods: lag
26. ESDA Component
27. ESDA: Global Morans I
28. ESDA: Global Morans I, with transformation option
29. ESDA: Local Morans I
30. ESDA: Local Morans I (cont.)
31. ESDA: Bivariate Morans I
32. ESDA: Bivariate Morans I Matrix
33. Computational Geometry Component
34. Fortunes Plane Sweep Algorithm
35. Fortunes Plane Sweep Algorithm
36. Fortunes Plane Sweep Algorithm
37. Voronoi Points
38. Points to Voronoi Weights
39. Outline
40. PySAL Organization
41. Outline
42. Future
43. End
Link to Video: http://geodacenter.asu.edu/data/streams/Serge-AAG_Clear_noise_ref.mov