Geographically Weighted Regression Analysis
Spatial Analysis & Data Science 22 lessons 2 Hours, 30 Minutes 4.7 (76 reviews)Advanced
Course preview
About this course
A single global regression assumes a relationship is the same everywhere. It rarely is. GWR lets each location have its own coefficients.
This course walks through the intuition, the diagnostics, and the practical decisions — bandwidth, kernel, and interpretation — with worked examples.
What you'll learn
- Explain when GWR beats global regression
- Choose a kernel and bandwidth
- Interpret local coefficients and R²
- Diagnose multicollinearity and overfitting
- Communicate results with maps
Requirements
- Comfort with basic statistics
- Prior exposure to linear regression
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