GEOG 5670 - Spatial Analysis

This course provides an introduction to techniques for spatial data analysis in geographical research. Topics include: experimental design and sampling; spatial data visualization and exploration; analysis of clusters and point patterns; global and local indicators of spatial autocorrelation; basic concepts of geostatistics; and an introduction to spatial data analysis. The main focus will be on data description and exploration.

Prerequisites/Corequisites: Prerequisites: GEOG 5010, GEOG 3030 or prior coursework in descriptive and inferential statistics.

Credits: 4 hours

Notes: Open to Upperclass and Graduate Students. Prerequisites applicable to all 5000-level courses in Geography are 14 credit hours of geography, including the specific prerequisite for each course, or consent of advisor and/or instructor.