A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships

Antonio Páez, Steven Farber and David Wheeler
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Antonio Páez: Centre for Spatial Analysis/School of Geography and Earth Sciences, McMaster University, Hamilton, Ontario L8S 4K1, Canada
Steven Farber: The Department of Geography, University of Utah, Salt Lake City, UT 84112, USA
David Wheeler: Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA 20892, USA

Environment and Planning A, 2011, vol. 43, issue 12, 2992-3010

Abstract: Large variability and correlations among the coefficients obtained from the method of geographically weighted regression (GWR) have been identified in previous research. This is an issue that poses a serious challenge for the utility of the method as a tool to investigate multivariate relationships. The objectives of this paper are to assess: (1) the ability of GWR to discriminate between a spatially constant processes and one with spatially varying relationships; and (2) to accurately retrieve spatially varying relationships. Extensive numerical experiments are used to investigate situations where the underlying process is stationary and nonstationary, and to assess the degree to which spurious intercoefficient correlations are introduced. Two different implementations of GWR and cross-validation approaches are assessed. Results suggest that judicious application of GWR can be used to discern whether the underlying process is nonstationary. Furthermore, evidence of spurious correlations indicates that caution must be exercised when drawing conclusions regarding spatial relationships retrieved using this approach, particularly when working with small samples.

Keywords: GWR; correlation; locally linear estimation; simulation; goodness of fit; inference (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (15)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:envira:v:43:y:2011:i:12:p:2992-3010

DOI: 10.1068/a44111

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