Introductory Spatial Python

Oct-14 : In this lesson, we will practice using Python Jupyter notebooks and GeoPandas with cyberinfrastructure.

Introductory Spatial Python CyberGISX Tutorials

• From CyberGISX Hub, you can log in to CyberGISX and browse COVID-19 and Community Notebooks
• We can gain a solid introduction to spatial analysis in Python with Jupyter notebooks through a series of tutorial notebooks developed by Rebecca Vandewalle.
• Each notebook has an Open with CyberGISX button, which will copy the notebook contents from its GitHub repository into your personal CyberGISX account and launch the notebook.
• Let’s try three introductory notebooks, in this sequence:
• Jupyter Notebooks Quick Start
• Introduction to Python Programming
• Python Geospatial Libraries note: this tutorial is found in cybergis-jupyter-notebook-repo/python_intro/Python_Geospatial_Libraries_p3.py
• Python files for the code
  • Python Intro
  • Geospatial Python

What’s next?

What’s coming next after break? We’ll try a reproduction study of Kang et al (2020) on the CyberGISX Cyberinfrastructure Research Platform!

Kang, J. Y., A. Michels, F. Lyu, Shaohua Wang, N. Agbodo, V. L. Freeman, and Shaowen Wang. 2020. Rapidly measuring spatial accessibility of COVID-19 healthcare resources: a case study of Illinois, USA. International Journal of Health Geographics 19 (1):1–17. DOI:10.1186/s12942-020-00229-x.

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