Course: GEOG 408I/L. Geospatial Big Data Analytics and Lab (2/1)
Prerequisites: GEOG 306/L. Recommended Preparatory: GEOG 408E/L. This course will introduce the theory, techniques, and analytical methods for working with big data sources using geographic information systems (GIS). Spatial Big Data ranges from mobile phone and traffic data to social media platforms and credit card transactions, to air quality sensors and satellite imagery. Methods for storing, processing, analyzing, and visualizing various types of geospatial big data using programming will be introduced. Available for graduate credit. 2 hours lecture, 3 hours lab.