Spatial-Filtering-Based Contributions to a Critique of Geographically Weighted Regression (GWR)
- 1 November 2008
- journal article
- research article
- Published by SAGE Publications in Environment and Planning A: Economy and Space
- Vol. 40 (11), 2751-2769
- https://doi.org/10.1068/a38218
Abstract
Interaction terms are constructed with georeferenced attribute variables and spatial filter eigenvectors, and then used to compute geographically varying regression coefficients. These coefficients, which are analogous to geographically weighted regression (GWR) coefficients, display preferable properties, and this specification is used to critique selected features of GWR. Comparisons are illustrated with the Georgia data appearing in the standard GWR tutorial.Keywords
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