What does "Geographically Weighted Regression" mean?

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Geographically Weighted Regression (GWR) is a statistical method used to analyze data that has a geographical aspect. It allows researchers to see how relationships between variables can change depending on where you are located. For example, the effect of income on housing prices might be different in one city compared to another.

In GWR, data points are weighted based on their location, which means that nearby points have a stronger influence on the results than those further away. This helps capture local patterns and trends that might be missed by traditional regression methods, which treat all data points the same regardless of their location.

GWR can be especially useful in fields like real estate, environmental studies, and any other area where the geography plays a significant role in the data being analyzed. By using this method, analysts can get a clearer picture of how different factors interact in various places.