Modelling the spatial pattern of house-renovation employment in Melbourne, Australia: an application of geographically weighted regression

Created by KC, K., Chhetri, P., Arrowsmith, C. & Corcoran, J.

Posted by Ray Wyatt on December 17, 2014 | 0 comments

This paper discusses research aimed at identifying key factors influencing the distribution of residential, housing-renovation employment in metropolitan Melbourne. Using Geographically Weighted Regression (GWR), employment that is focused on residential-housing renovation is modeled using six, mostly spatial parameters – distance to the central business district, median household income, distance to highways, the number of nearby shopping centres, distance to public open space and accessibility to railway stations. Of these, the Ordinary Least Square model showed that distance to the central business district and distance to public open space were statistically significant. Speculations were then made about the extent of different, independent variables’ influences upon variation in residential-housing renovation employment by mapping local coefficient estimates.

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