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[BFC99]Chris Brunsdon, A Stewart Fotheringham, and Martin Charlton. Some notes on parametric significance tests for geographically weighted regression. Journal of Regional Science, 39(3):497–524, 1999.
[BFC08]Chris Brunsdon, A Stewart Fotheringham, and Martin Charlton. Geographically weighted regression: a method for exploring spatial nonstationarity. Encyclopedia of Geographic Information Science, pages 558, 2008.
[dSF16]Alan Ricardo da Silva and A. Stewart Fotheringham. The multiple testing issue in geographically weighted regression. Geographical Analysis, 48(3):233–247, 2016. URL:, arXiv:, doi:10.1111/gean.12084.
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[HFCC10]P. Harris, A. S. Fotheringham, R. Crespo, and M. Charlton. The Use of Geographically Weighted Regression for Spatial Prediction: An Evaluation of Models Using Simulated Data Sets. Mathematical Geosciences, 42(6):657–680, June 2010. URL:, doi:10.1007/s11004-010-9284-7.
[NFBC05]T Nakaya, AS Fotheringham, Chris Brunsdon, and Martin Charlton. Geographically weighted poisson regression for disease association mapping. Statistics in Medicine, 24(17):2695–2717, 2005.
[OF17]Taylor M. Oshan and A. Stewart Fotheringham. A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial-Filter-Based Techniques: A Comparison of Spatially Varying Regression. Geographical Analysis, June 2017. URL:, doi:10.1111/gean.12133.
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[YFL+18]Hanchen Yu, Stewart Fotheringham, Ziqi Li, Taylor Oshan, Wei Kang, and Levi J Wolf. Inference in multiscale geographically weighted regression. May 2018. URL:, doi:10.31219/