ADVANCED QUANTITATIVE METHODS
Selected topics in the analysis of spatial distributions with emphasis on multivariate techniques.
Prerequisites & course information
Requisites: Junior standing or GEOG 360 Course Designation: Core GenEd - Natural Science & Wellness Breadth - Physical Science Level - Advanced L&S Credit - L&S Liberal Arts and Science Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Discuss statistical concepts, methods, and techniques. Audience: Both Grad & Undergrad 2. Conduct various staining analyses on geographic data. Audience: Both Grad & Undergrad 3. Use R script programming for spatiotemporal statistical analysis. Audience: Both Grad & Undergrad 4. Solve practical problems using statistics and spatiotemporal analysis methods. Audience: Both Grad & Undergrad 5. Discuss the latest literature about the newly developed R scripts for geospatial data analysis. Audience: Graduate Learning Outcomes: 1. Discuss statistical concepts, methods, and techniques. Audience: Both Grad & Undergrad 2. Conduct various staining analyses on geographic data. Audience: Both Grad & Undergrad 3. Use R script programming for spatiotemporal statistical analysis. Audience: Both Grad & Undergrad 4. Solve practical problems using statistics and spatiotemporal analysis methods. Audience: Both Grad & Undergrad 5. Discuss the latest literature about the newly developed R scripts for geospatial data analysis. Audience: Graduate
Sources
- Course catalogue ↗2026-2027