Applied Statistics and Geospatial Analysis

3 credits · Graduate Programs

Topics include descriptive statistics, probability theory, sampling design, inferential statistics, model validation and assessment of uncertainty, and applied multivariate analysis. Techniques and examples emphasize the use of geospatial data for constructing models of geographic phenomena and spatial problem-solving. Prerequisite(s): Admission to the GIT Certificate or the MGIS Program. Antirequisite(s): Credit for Geography 686 and 605 will not be allowed.