PublisherDOIYearVolumeIssuePageTitleAuthor(s)Link
Applied Geography10.1016/j.apgeog.2011.07.0182012322737-745Using multilevel modeling and geographically weighted regression to identify spatial variations in the relationship between place-level disadvantages and obesity in TaiwanDuan-Rung Chen, Khoa Truonghttps://api.elsevier.com/content/article/PII:S0143622811001597?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0143622811001597?httpAccept=text/plain
Geographical Analysis10.1353/geo.2002.0028200335158-82Exploring the Relations Between Riverbank Erosion and Geomorphological Controls Using Geographically Weighted Logistic RegressionPeter M. Atkinson, Sally E. German, David A. Sear, M. J. Clarkhttp://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1353%2Fgeo.2002.0028
Comparative Economic Research10.2478/cer-2014-00372014174137-154Spatial Analysis Of Foreign Migration In Poland In 2012 Using Geographically Weighted RegressionKarolina Lewandowska-Gwardahttp://content.sciendo.com/view/journals/cer/17/4/article-p137.xml, https://www.degruyter.com/view/j/cer.2014.17.issue-4/cer-2014-0037/cer-2014-0037.pdf
Geographical Analysis10.1111/j.1538-4632.2003.tb01101.x200335158-82Exploring the Relations Between Riverbank Erosion and Geomorphological Controls Using Geographically Weighted Logistic RegressionPeter M. Atkinson, Sally E. German, David A. Sear, Michael J. Clarkhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1538-4632.2003.tb01101.x, http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1538-4632.2003.tb01101.x/fullpdf
Applied Geography10.1016/j.apgeog.2011.06.0052012322360-375Multi-scale analysis of spatially varying relationships between agricultural landscape patterns and urbanization using geographically weighted regressionShiliang Su, Rui Xiao, Yuan Zhanghttps://api.elsevier.com/content/article/PII:S0143622811001214?httpAccept=text/xml, https://api.elsevier.com/content/article/PII:S0143622811001214?httpAccept=text/plain
Geographical Analysis10.1111/j.1538-4632.2004.tb01138.x2004364299-314Anisotropic Variance Functions in Geographically Weighted Regression ModelsAntonio Páezhttp://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1538-4632.2004.tb01138.x
Geographical Analysis10.1353/geo.2003.00082003353272-275Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (review)David O'Sullivanhttp://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1353%2Fgeo.2003.0008
Geographical Analysis10.1111/gean.12133201750153-75A Comparison of Spatially Varying Regression Coefficient Estimates Using Geographically Weighted and Spatial-Filter-Based TechniquesTaylor M. Oshan, A. Stewart Fotheringhamhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fgean.12133, http://onlinelibrary.wiley.com/wol1/doi/10.1111/gean.12133/fullpdf
Regional Science Policy & Practice10.1111/rsp3.1202820136169-83Geographically weighted regression analysis of the spatially varying relationship between farming viability and contributing factors in OhioZiying Jiang, Bo Xuhttps://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Frsp3.12028
Encyclopedia of GIS10.1007/978-3-319-17885-1_10109220171760-1760Regression, Geographically Weightedhttp://link.springer.com/content/pdf/10.1007/978-3-319-17885-1_101092