PySAL for Spatial Data Science @ CARTO SDSC 2024 San Francisco

workshop on spatial data science with Python delivered at CARTO SDSC 2024 San Francisco

Instructor

• eli knaap - center for open geographical sciences @ sdsu

Additional Resources

• Geographic Data Science with Python
• A Guide to Geosnap
• PySAL - The Python Spatial Analysis Library
• Urban Analysis & Spatial Science (WIP)

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Schedule

• geoprocessing
• spatial weights
• spatial autocorrelation
• geosnap and geodemographic clustering

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Getting Started

Follow along on your own machine

• make sure you have anaconda installed
  • we recommend the miniforge distribution
• git clone https://github.com/knaaptime/carto_sdsc24.git
• cd carto_sdsc24
• if you dont have mamba, run conda install mamba -y
• make environment or mamba env create
• conda activate carto_sdsc24
• jupyter lab

Follow along in the cloud

remember that your cloud resources will be limited so not everything may work (or work quickly)

Github Codespaces

Binder