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
0 ()
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