Peer-Reviewed Journal Details
Mandatory Fields
Lu, BB;Charlton, M;Brunsdon, C;Harris, P
2016
February
International Journal of Geographical Information Science
The Minkowski approach for choosing the distance metric in geographically weighted regression
Published
22 ()
Optional Fields
VARYING COEFFICIENT MODELS HOUSE PRICE DATA EXPANSION METHOD SPATIAL-ANALYSIS RIVER
30
351
368
In this study, the geographically weighted regression (GWR) model is adapted to benefit from a broad range of distance metrics, where it is demonstrated that a well-chosen distance metric can improve model performance. How to choose or define such a distance metric is key, and in this respect, a Minkowski approach' is proposed that enables the selection of an optimum distance metric for a given GWR model. This approach is evaluated within a simulation experiment consisting of three scenarios. The results are twofold: (1) a well-chosen distance metric can significantly improve the predictive accuracy of a GWR model; and (2) the approach allows a good approximation of the underlying optimal distance metric', which is considered useful when the true' distance metric is unknown.
ABINGDON
1365-8816
10.1080/13658816.2015.1087001
Grant Details