Use of Geographically Weighted Regression (GWR) Method to Estimate the Effects of Location Attributes on the Residential Property Values

Mohd Faris Dziauddin(1*), Zulkefli Idris(2)

(1) Department of Geography & Environment Faculty of Human Sciences, Sultan Idris Education University, 35900 Tanjong Malim, Perak
(2) UMW Technology Sdn. Bhd.16-1, Level 16, Menara Prestige No 1, Jalan Pinang, 50450 Kuala Lumpur
(*) Corresponding Author


This study estimates the effect of locational attributes on residential property values in Kuala Lumpur, Malaysia. Geographically weighted regression (GWR) enables the use of the local parameter rather than the global parameter to be estimated, with the results presented in map form. The results of this study reveal that residential property values are mainly determined by the property’s physical (structural) attributes, but proximity to locational attributes also contributes marginally. The use of GWR in this study is considered a better approach than other methods to examine the effect of locational attributes on residential property values. GWR has the capability to produce meaningful results in which different locational attributes have differential spatial effects across a geographical area on residential property values. This method has the ability to determine the factors on which premiums depend, and in turn it can assist the government in taxation matters.


Geographically weighted regression; Kuala Lumpur ; Location attributes; Residential property values

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