GEO 4430L - Geospatial Data Analysis Laboratory (1)

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.

Prerequisite(s): GEO 2400 and GEO 2400L, or consent of instructor.
Corequisite(s): GEO 4430.
Component(s): Laboratory
Grading Basis: Graded Only
Repeat for Credit: May be taken only once
Course Category: Major Required Course