Python Geospatial Fundamentals: Part 1 of 2

Geospatial data are an important component of data visualization and analysis in the social sciences, humanities, and elsewhere. The Python programming language is a great platform for exploring these data and integrating them into your research.

Python Geospatial Fundamentals: Part 1

This workshop is the first one of the two-part series on using Python for fundamental geospatial analysis and visualization. After this workshop, you will be able to:

• Recognize different forms of geospatial data and coordinate reference system (CRS),
• Use GeoPandas and matplotlib libraries to map and analyze spatial data.

Python Geospatial Fundamentals: Part 2

This workshop is the second one of the two-part series on using Python for fundamental geospatial analysis and visualization. After this workshop, you will be able to:

• Apply more advanced Python libraries for interactive visualization.
• Choose domain-specific spatial datasets to create your own maps.

Knowledge Requirements

You’ll probably get the most out of this workshop if you have a basic foundation in Python and Pandas, similar to what you would have from taking the D-Lab Python Fundamentals workshop series. Here are a couple of suggestions for materials to check out prior to the workshop.

D-Lab Workshops:

• Python Fundamentals

• Python Data Wrangling and Manipulation with Pandas