Spatial structure effects in spatial interaction model: a Geographically Weighted Regression (GWR) approach


The development of local forms of spatial analysis has been the subject of intense research over last decade. In this paper we propose a local calibration procedure for handling varying parameter estimates of an origin-constrained spatial interaction model. In this context, the estimates of local parameters depends both on origins and destinations and a four dimensional space is involved. A suitable estimation of local parameters can be obtained by the maximisation of a weighted maximum likelihood function, exploiting the same principle of geographical weighted regression (GWR) approach.

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Keywords: spatial interaction models; geographically weighted regression approach; spatial structure effects; migration flows; local estimates

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