De la Hoz-M, JavierMendes, SusanaFernandez-Gómez, María José2023-08-232023-08-232022Javier De La Hoz-M, Susana Mendes, María José Fernandez-Gómez, GeoWeightedModel : An R-Shiny package for Geographically Weighted Models, SoftwareX, Volume 20, 2022, 101250, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2022.1012502352-7110http://hdl.handle.net/10400.8/8723This paper describes GeoWeightedModel, a R package, which provides a graphical user friendly web pplication to perform techniques from a subarea of spatial Statistics known as Geographically Weighted (GW) models, such as Geographically Weighted Regression (GWR) and its extensions: Robust GWR, Generalized GWR, Heteroskedastic GWR, Mixed GWR, and ‘‘Scalable GWR), Geographically Weighted Principal Component Analysis, and Geographically Weighted Discriminant analysis. It also allows calculating a basic and robust Geographically weighted summary. The main goal of GeoWeightedModel package was to make the workflow easier to use, especially for those who are not familiar with the R environment. With GeoWeightedModel, analyses can be performed interactively (point-and-click way) in a web browser, making the applications easier for many more researchers. In addition with this tool, the results of the analyses can be mapped providing a valuable tool for exploring the spatial heterogeneity of the data.engGeographically weightedGeographically weighted analysisSpatial heterogeneityGeographically weighted regressionGeographically weighted principal component analysisDiscriminant geographically weighted analysisjournal article10.1016/j.softx.2022.101250