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Spatial Data Analysis with PySAL and GeoSnap
- Serge Rey - Center for Geospatial Sciences, University of California
- Elijah Knaap - Center for Geospatial Sciences, University of California
- Introduction (20 min)
- Welcome
- PySAL Overview
- Software and Tool (60 min)
- Anaconda Python Distribution
- IPython/Jupyter Notebooks
- Python Primer (80 min)
- Data structures
- Control and Iteration
- Functions and Modules
- Files
- PySAL for ESDA (80 min)
- Spatial data processing with PySAL (40 min)
- Processing spatial data with PySAL
- Spatial weights in PySAL
- ESDA with PySAL (40 min)
- Global spatial autocorrelation analysis
- Local spatial autocorrelation analysis
- Spatial data processing with PySAL (40 min)
- PySAL for Regional Analysis (80 min)
- Regionalization (40 minutes)
- clustering
- spatially constrained clustering
- Spatial Segregation Analysis (40 minutes)
- spatial and aspatial indices
- comparative inference
- decomposition
- Regionalization (40 minutes)
To get started immediately without installing or downloading anything, click the "Launch Binder" button at the top of this page
If you are familiar with GitHub, you should clone or fork this GitHub repository to a specific directory. Cloning can be done by:
git clone https://github.com/sjsrey/[email protected]
If you are not using git, you can grab the workshop materials as a zip file by pointing your browser to (https://github.com/sjsrey/[email protected]) and clicking on the green Clone or download button in the upper right.
Extract the downloaded zip file to a working directory. See the installation instructions for more information on getting a python environment setup