References

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.