Introduction to CyberGIS: Geospatial Information Science and Systems (GIS) based on advanced cyberinfrastructure and state of the art high-performance computing, big data, and cloud computing in the context of geospatial data science. Students will work within the CyberGISX framework and Jupyter Notebook user environment to conduct data-intensive, reproducible, and scalable geospatial analytics and analyze and visualize geospatial data using leading-edge cyberGIS software and python libraries.
Undergraduate Credit: 4 hours
Graduate Credit: 4 hours
Prerequisite: GGIS 403 or consent of instructor.
Note: Same as GEOL 407.
Course Department: Geography
Updated: April 4, 2026