Advanced Spatial Analysis and Spatial Statistics
An opportunity to gain theoretical and applied experience in spatial statistics and advanced geographical analysis. Topics include: point pattern analysis, areal data analysis and spatial autocorrelation, and geostatistics (i.e., variograms and kriging). Labs and a final project are designed to provide students with hands on experience applying theory to a range of data sets and to a data set selected by the student.
Note: Master's Program students are required to take one of 518, 523, 524.
Prerequisites: 328, 329 or equivalent GIS experience.
Graduate course in the Geography program administered by the Faculty of Graduate Studies.