CyberGIS & Geospatial Data Science credit:

4 Hours

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. Same as GEOL 407 . 4 undergraduate hours. 4 graduate hours. Prerequisite: GGIS 403 or consent of instructor.