Lab 12: OLS vs GWR

The biggest difference between Geographically Weighted Regression (GWR) and Ordinary Least Sqaures (OLS) is that GWR takes into account geographic distribution and explores local relationships while OLS models the data globally and is a bit more rigid. GWR improved the model in this lab greatly because all the data was organized spatially and affected things closer more than things at a distance. OLS is better for things that don't have a big spatial component.