Further GIS learning resources

Resources

This page provides a partially-annotated bibliography of mapping resources. It includes map-related software tools/environments, data sources and archives, online learning resources, and finally other mapping classes you can take here at Columbia. It is by no means exhaustive but hopefully it might help each of you identify some new territory for exploration as you continue your journey with critical mapping.

Software Tools and Environments

Desktop GIS Software

Javascript Libraries for Web Mapping and Data Visualization

Jupyter Notebooks

These are beyond the scope of our 6-week class but provide a third category of environment for spatial data analysis. Here your workspace is a 'notebook' that combines blocks of text with code snippets (usually in Python or R) that share a common computational environment. Using different libraries, code snippets can also generate interactive, data-driven visualizations. Mostly these are used in more quantitative/programming-heavy workflows that deal with large datasets or complex computational requirements. If you're interested in working with census data or machine learning, this is a good space to explore.

Data Sources & Archives

Learning Resources

Columbia/Barnard

General Resources/Introductions

Projections

Remote Sensing

Mapping Online/Webmaps

Blogs, Inspiration

Other Columbia/Barnard Classes


Resources compiled by Dare Brawley, Nadine Fattaleh, Carsten Rodin, Spring 2020-22.