GEO 4430W - Geospatial Data Analysis (2)

Quantitative analysis methods for research in the spatial sciences. Characteristics of geographic data (attributes of objects and fields in geographic space). Probability, hypothesis testing and confidence intervals. Summary, descriptive and exploratory statistics for geographic data. Regression modeling. Spatial autocorrelation and spatial regression methods. Writing-Intensive courses must be passed with a C or higher to count towards the University’s 3-unit Writing Requirement.

Corequisite(s): GEO 4430LW.
Prerequisite(s): GEO 2400, GEO 2400L, and junior or senior standing; or consent of instructor.
Grading Basis: Graded Only
Repeat for Credit: May be taken only once
When Offered: Fall
Course Category: Major Required Course