Hour of CI Tutorial

: In this lesson, we will practice introductory spatial python using cyber-infrastructure.

Twitter Analysis Due Tomorrow (Tues)

Spatial Python Cyberinfrastructure Tutorial

Please complete the Hour of CI Gateway Lesson.
Use the google form at the end to provide feedback to the developers.
You can access the lesson with a user name and password that I emailed to you on May 4
The aim of this Hour of CI tutorial is to build and recognize fundamental cyberliteracy (figure below) and introduce you to fundamental spatial python.

cyber literacy from Hour of CI
credit: Hour of CI

In the tutorial, if you cannot tolerate choropleth maps of totals (and you shouldn’t)…

merged['pctcases'] = merged['cases'] / merged['population'] * 100
# switch the column mapped to to pctcases

What’s coming next? We’ll try a reproduction study on the CyberGISX Cyberinfrastructure Research Platform!

Spatial data science with python on your own

What if you want to use Python and Jypter notebooks to practice spatial data science on your local computer, without access to servers like Hour of CI and CyberGISX? You can install Anaconda and create a local conda environment including Jupyter notbooks and packages for spatial data science. The pandas package provides the functions you learned to love in SQL and R’s dplyr/tidyverse while the geopandas package provides the spatial functions, analagous to PostGIS and R’s sf package.

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