GWR

GWR, or Geographically Weighted Regression, is a statistical method that analyzes how relationships between variables vary across different locations. Unlike traditional models that assume the same relationship everywhere, GWR considers local differences, providing specific insights for each area. For example, it can show how the impact of income on property prices might be stronger in some neighborhoods and weaker in others, allowing for more accurate, location-specific understanding of data patterns. This approach is useful in fields like urban planning, environmental studies, and public health, where context and spatial variation are important.