pysal-narsc20

PySAL Workshop at NARSC20

Instructors

• Serge Rey - University of California Riverside, Center for Geospatial Sciences
• Elijah Knaap - University of California Riverside, Center for Geospatial Sciences

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Schedule

AM Session

1. Introduction (20 min)
   • Welcome
   • PySAL Overview
2. Software and Tool (60 min)
   • Anaconda Python Distribution
   • IPython/Jupyter Notebooks
3. Python Primer (80 min)
   • Data structures
   • Control and Iteration
   • Functions and Modules
   • Files

Break (1-hour)

PM Session

3. 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
4. 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

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Obtaining Workshop Materials

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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/pysal-narsc20.git

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/pysal-narsc20.git) 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