GEOG306: Introduction to Quantitative Methods for the Geographic Environmental Sciences

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 some advanced concepts, such as matrix methods, principal component analysis, and spatial statistics. Students will develop expertise in data analysis using advanced statistical software.
Prerequisites/Rules:
Credit only granted for: BIOM301, BMGT230, CCJS200, ECON321, EDMS451, GEOG306, GVPT422, PSYC200, or SOCY201. General Education: FSAR
Credits: 3
Grading Method: Regular Regular grading
Course Offering
    Summer 2017 Instructor: Amanda Hoffman-Hall View Syllabus
    Fall 2017 Instructor: Naijun Zhou View Syllabus
    Fall 2016 Instructor: Naijun Zhou View Syllabus
    Fall 2015 Instructor: Naijun Zhou View Syllabus
    Winter 2015 Instructor: Amanda Hoffman-Hall View Syllabus