GGIS 495

Fall 2026 All Classes

All Classes

Advanced Topics in Geography

Credit: 3 OR 4 hours.

Explores special topics not covered in regularly scheduled Geography courses.

3 or 4 undergraduate hours. 3 or 4 graduate hours. May be repeated if topics vary in the same term to a maximum of 9 undergraduate hours or 12 graduate hours or in separate terms to a maximum of 12 undergraduate hours or 12 graduate hours.

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GGIS 495 class schedule data for fall 2026
	Status		CRN	Type	Section	Time	Day	Location	Instructor	Section Details
			81586	Online	MS	ARRANGED	n.a.	n.a.	Lin, Y	Availability: Open (Restricted) Part of Term: A Date Range: 08/24/26-10/16/26 Credit: 4 hours Section Title: Advanced Spatial Analysis Section Info: This course explores advanced techniques for analyzing and modeling spatial data. Students will learn methods for understanding spatial relationships, predicting spatial patterns, and evaluating spatial interventions. Key topics include spatial regression, spatial interpolation and surface modeling, network analysis, spatial optimization, and spatial causal inference. Students will develop the skills needed to implement advanced spatial analytical techniques and interpret their results in applied contexts. Restriction(s): Restricted to NDEG:WeatherClimteRA ONL-UIUC, MS:WeatherClimteRA ONL-UIUC, MS:Environ Geology ONL-UIUC, NDEG:Environ Geology ONL-UIUC, MS:GIS & Data Sci ONL - UIUC, or NDEG:GIS & Data Sci ONL -UIUC.
			81585	Online	ONL	ARRANGED	n.a.	n.a.	Lin, Y	Availability: Open (Restricted) Part of Term: A Date Range: 08/24/26-10/16/26 Credit: 4 hours Section Title: Advanced Spatial Analysis Section Info: This course explores advanced techniques for analyzing and modeling spatial data. Students will learn methods for understanding spatial relationships, predicting spatial patterns, and evaluating spatial interventions. Key topics include spatial regression, spatial interpolation and surface modeling, network analysis, spatial optimization, and spatial causal inference. Students will develop the skills needed to implement advanced spatial analytical techniques and interpret their results in applied contexts. Restriction(s): Not intended for NDEG:WeatherClimteRA ONL-UIUC, MS:WeatherClimteRA ONL-UIUC, MS:Environ Geology ONL-UIUC, NDEG:Environ Geology ONL-UIUC, MS:GIS & Data Sci ONL - UIUC, or NDEG:GIS & Data Sci ONL -UIUC.