This week lab focused on comparing the OLS model to the GWR model. The Geographically Weighted Regression model. The model looks at small sets of data. The model uses an equation to incorporate the independent and dependent variables. The shape of the results are determined by bandwidth and kernel type.
This lab looked at housing data to determine the relationship. First the OLS model was used. Next, I used the same variables to create the GWR model. After running the models, I looked at the results to see which variable is the greatest interest. By running the analysis with the GWR, it strengthens the relationship. By taking the spatial relationship into consideration, it improves the model by using spatial aspect into play. The OLS does not look at the spatial relationship. The OLS just looks at the variables and the results don't take into account the kernel type or bandwidth.
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