jupyter/ipython notebooks demonstrating PySAL functionality
Jupyter Notebook
Latest commit 4666561 Sep 15, 2016 @sjsrey sjsrey committed on GitHub Update courses.md

README.md

Examples

Below are illustrative use cases for PySAL. You may also be interested in the tutorials and short courses on PySAL.

Join the chat at https://gitter.im/pysal/pysal

Reading Geospatial Data

  • Shapefiles: read and write shapefiles, dbf files.

Visualizing Geospatial Data

Viz interfaces:

Viz task views:

Spatial Weights

  • Spatial Weights: understand, create and manipulate spatial weights objects.

Global Spatial Autocorrelation Analysis

Local Spatial Autocorrelation Analysis

Space-Time Analysis

Python Scientific Computing Stack (SciPy)

  • Stack: brief introduction to the main libraries for scientific computing in Python (ipython, numpy, scipy, pandas, matplotlib).