[BKW80] | D. A. Belsey, E. Kuh, and R. E. Welsch. Regression Diagnostics: Identifying Influential Data and Sources of Collinearity. Wiley, New York, 1980. |
[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: https://onlinelibrary.wiley.com/doi/abs/10.1111/gean.12084, arXiv:https://onlinelibrary.wiley.com/doi/pdf/10.1111/gean.12084, doi:10.1111/gean.12084. |
[FB99] | A Stewart Fotheringham and Chris Brunsdon. Local forms of spatial analysis. Geographical Analysis, 31(4):340–358, 1999. |
[FBC02] | A. Stewart Fotheringham, Chris Brunsdon, and Martin Charlton. Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. John Wiley & Sons, February 2002. ISBN 978-0-470-85525-6. |
[FO16] | A. Stewart Fotheringham and Taylor M. Oshan. Geographically weighted regression and multicollinearity: dispelling the myth. Journal of Geographical Systems, 18(4):303–329, 2016. URL: http://dx.doi.org/10.1007/s10109-016-0239-5, doi:10.1007/s10109-016-0239-5. |
[FYK17] | A. Stewart Fotheringham, Wenbai Yang, and Wei Kang. Multiscale geographically weighted regression (mgwr). Annals of the American Association of Geographers, 107(6):1247–1265, 2017. URL: http://dx.doi.org/10.1080/24694452.2017.1352480, arXiv:http://dx.doi.org/10.1080/24694452.2017.1352480, doi:10.1080/24694452.2017.1352480. |
[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: http://link.springer.com/article/10.1007/s11004-010-9284-7, 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: http://doi.wiley.com/10.1111/gean.12133, doi:10.1111/gean.12133. |
[Whe07] | David C. Wheeler. Diagnostic Tools and a Remedial Method for Collinearity in Geographically Weighted Regression. Environment and Planning A, 39(10):2464–2481, October 2007. URL: http://epn.sagepub.com/content/39/10/2464, doi:10.1068/a38325. |
[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: osf.io/4dksb, doi:10.31219/osf.io/4dksb. |