Course Description
Geovisualizations are a powerful way to reveal patterns in geospatial data, attract attention, and convey a message to an audience quickly and clearly. This course equips students to make informed design decisions (based on visual feature hierarchy, color theory, and design principles) and automate map-making techniques for multi-layered data, multivariate data, spatial-temporal data, and data with uncertainty. Students are expected to have a working knowledge of Geographic Information Systems. Some experience with Python programming would also be beneficial.
Spring 2025
Instructors
Meeting Patterns
Classes Start:
January 6, 2025
Classes End:
April 22, 2025
Location:
05103 Jordan Hall
Class Days:
F
Class Start Time:
10:15am
Class End Time:
1:00pm
Class Type:
Lecture
Credits:
3.00
Restrictions:
Restriction: Graduate standing in Geospatial Analytics or Permission of Instructor
