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Hyper-local geographically weighted regression: extending GWR through local model selection and local bandwidth optimization

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Figure

Figure 1: The sample locations and some context from the OpenStreetMap Bing layer.
Table 1: Summary of the coefficient estimates arising from the Full and AIC selected linearregression models of STN.
Table 4: The distributions of the coefficient estimates arising from a GWR model of STP.
Figure 2: Spatial variation in coefficient estimates from a standard GWR model of STN.Significant t-values are indicated by the black shaded points.
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