Topics include exploratory spatial data analysis, global and local spatial statistics, spatial autocorrelation and interpolation, spatial regression models, and geographically weighted regression. The emphasis will be on developing analytical skills with practical applications using statistical software and Geographic Information Systems. Antirequisite(s): Prerequisite(s): Third or fourth year status at the University including Geography 2210A/B or equivalent and Geography 2220A/B or permission of the instructor. Corequisite(s): Pre-or Corequisite(s): Extra Information: 2 lecture hours, 2 lab hours, 0.5 course (main campus) Limited enrollment back to top
