/carto_sdsc23

workshop on spatial data science with PySAL @ CARTO SDSC23

Primary LanguageJupyter Notebook

PySAL for Spatial Data Science @ CARTO SDSC 2023

Binder

Open in GitHub Codespaces

workshop on spatial data science with Python delivered at CARTO SDSC 2023

Instructor


Schedule

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

Getting Started

Follow along on your own machine

  • make sure you have anaconda installed
  • git clone https://github.com/knaaptime/carto_sdsc23.git
  • cd carto_sdsc23
  • if you dont have mamba, run conda install mamba -y
  • make environment or mamba env create
  • conda activate carto_sdsc23
  • 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

Open in GitHub Codespaces

Binder

Binder