I want to use the Geographically Weighted Regression (GWR) to model local relationships between my dependent variable and a set of independent variables.
When running GWR in ArcGIS, the coefficients with the parameter estimates can be mapped, which is also recommended. But I am not sure, how to interpret these values correctly.
The following graphic shows a sample (!) how a result could look like. Assuming the dependent variable is auto theft and the visualized independent variable are parking lots. I want to understand how to interpret the parameter estimates.
I do not understand the connection between the parameter estimate values and what they mean in regard to the correlation, meaning if for higher values it can be said that "many parking lots lead to many auto thefts" and for lower values "few parking lot lead to many/few auto thefts".
How can this result be interpreted correctly?
The aim is to find out the local regions, where parking lots correlate with auto thefts.