GEO 6166
Advanced Quantitative Methods for Spatial Analysis
Critical examination and analysis of spatial data and point patterns, trend-surface modeling and interpolation, count data modeling, cluster and hot-spot detection, process change statistics in space and time, and spatial regression models.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: GEO 6160 and GEO 6161 or equivalent or permission of instructor
Sources
- Course catalogue ↗2025-2026