Course Description
This course is designed for senior undergraduate students in a workshop format with a specific focus on application. Topics include space-time data collection, processing, analysis, and visualization. Widely used space-time analysis tools and newly developed data mining techniques will be introduced and discussed with examples and hands-on practices in the class. With practical experience on real-world space-time datasets, students will learn the basic knowledge and various tools for analyzing spatiotemporal datasets. The course encompasses practical instruction and training in ArcGIS Pro to use multiple public available space-time datasets. The primary outcome for students taking this course will be an independent analysis of a substantial space-time dataset, a formal report of the analysis, and a professional oral presentation.
Distribution Requirement: Science
Lecture hours: 12
Practicum hours: 24
Prerequisite: 13.5 credits and GGR321H5