Summer 2021 Full-term
Meeting:
to be arranged / * *
SLN:
11660
Section Type:
Lecture
Instructor:
IF YOU HAVE NOT MET PREREQUISITES
BUT HAVE TAKEN EQUIVALENT
COURSEWORK PLEASE CONTACT
INSTRUCTOR FOR PERMISSION
TO ENROLL.
OFFERED AS ASYNCHRONOUS LEARNING
OFFERED VIA REMOTE LEARNING
Catalog Description:
Introduces elementary spatial statistics and advanced statistical techniques in quantitative human geography. Methods reviewed include geographic applications of multiple regression analysis, spatial statistics and spatial autocorrelation, geographically weighted regression, factor analysis, discriminant analysis, and logistic regression. Prioritizes the interpretation and application of methods. Prerequisite: a minimum grade of 2.0 in GEOG 326; and a minimum grade of 2.0 in GEOG 360.
GE Requirements Met:
Social Sciences (SSc)
Quantitative and Symbolic Reasoning (QSR)
Credits:
5.0
Status:
Active
Last updated:
October 3, 2024 - 3:35 am