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Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis
Open accessAbstract
Geographically weighted regression and the expansion method are two statistical techniques which can be used to examine the spatial variability of regression results across a region and so inform on the presence of spatial nonstationarity. Rather than accept one set of ‘global’ regression results, both techniques allow the possibility of producing ‘local’ regression results from any point within the region so that the output from the analysis is a set of mappable statistics which denote local relationships. Within the paper, the application of each technique to a set of health data from northeast England is compared. Geographically weighted regression is shown to produce more informative results regarding parameter variation over space.
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Citations
Cited by
Geographic Boundaries as Regression Discontinuities
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Spatially Integrated Social Science
(2006) · Encyclopedia of Human Geography · doi:10.4135/9781412952422.n278 · Cited by 269
Li, L. (2019) · Remote Sensing · doi:10.3390/rs11111378 · Cited by 70
Cooper, H. M., Zhang, C., & Selch, D. (2015) · Climatic Change · doi:10.1007/s10584-015-1334-1 · Cited by 25
Phylogenetically weighted regression: A method for modelling non‐stationarity on evolutionary trees
Davies, T. J., Regetz, J., Wolkovich, E. M., & McGill, B. J. (2019) · Global Ecology and Biogeography · doi:10.1111/geb.12841 · Cited by 13
Metadata
- Authors
- Fotheringham, A. S., Charlton, M. E., & Brunsdon, C.
- Venue
- Environment and Planning A: Economy and Space
- Publisher
- SAGE Publications
- Published
- 1998-11
- Volume
- 30
- Issue
- 11
- Pages
- 1905-1927
- ISSN
- 0308-518X (ISSN-L)
- 1472-3409
- OpenAlex
- W2148169128
- Cited by
- 1,152
- References
- 0
- FWCI
- 12.39
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis. https://app.cochat.ai/papers/10.1068/a301905
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- Fotheringham, A. S., Charlton, M. E., & Brunsdon, C. (1998). Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis. Environment and Planning A: Economy and Space. https://doi.org/10.1068/a301905
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