Geographically Weighted Regression (GWR)

Geographically Weighted Regression (GWR) is a statistical method that analyzes how relationships between variables change across different locations. Unlike standard regression, which assumes a uniform relationship everywhere, GWR recognizes that factors influencing an outcome, like housing prices or crime rates, can vary in different areas. By applying GWR, researchers can identify local patterns and nuances, helping policymakers and planners make more informed, location-specific decisions. Essentially, it’s a way to tailor insights to the unique characteristics of each geographic region.