Essentials in the quantitative analysis of spatial and other data, with a particular emphasis on statistics and programming. Topics include data display, data description and summary, statistical inference and significance tests, analysis of variance, correlation, regression, and spatial statistics. Students will develop expertise in data analysis using advanced statistical software.

Must be in M.Prof.Studies: Geospatial Information Sciences (Master's) program
Credits: 3
Grading Method: Regular