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Course:GEO 868  Spatial Regression and Modeling
Semester:Fall of every year
Credits:Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
3(3-0)
Prerequisite:GEO 865 or approval of department
Recommended Background:Linear regression and data analysis at graduate level
Description:Using spatial regression to address geographic problems. Modeling spatial processes with continuous and discrete dependent variables. Maximum likelihood estimation. Bayesian approaches.
Semester Alias:GEO 867
Effective Dates:FALL 2007 - Open
Search Again  |  Definitions of Course Characteristics