Zur Kurzanzeige

dc.contributor.authorHoz Maestre, Javier Antonio de la
dc.contributor.authorMendes, Susana Luisa da Custodia Machado
dc.contributor.authorFernández Gómez, María José 
dc.date.accessioned2024-01-18T15:26:02Z
dc.date.available2024-01-18T15:26:02Z
dc.date.issued2022
dc.identifier.citationJavier 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.2022.101250. (https://www.sciencedirect.com/science/article/pii/S2352711022001686)
dc.identifier.issn2352-7110
dc.identifier.urihttp://hdl.handle.net/10366/154398
dc.description.abstract[EN]This paper describes GeoWeightedModel, a R package, which provides a graphical user friendly web application 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.es_ES
dc.language.isoenges_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectGeographically weightedes_ES
dc.subjectGeographically weighted analysises_ES
dc.subjectSpatial heterogeneityes_ES
dc.subjectGeographically weighted regressiones_ES
dc.subjectGeographically weighted principal component analysises_ES
dc.subjectDiscriminant geographically weighted analysises_ES
dc.titleGeoWeightedModel : An R-Shiny package for Geographically Weighted Modelses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publishversionhttps://doi.org/10.1016/j.softx.2022.101250es_ES
dc.subject.unesco1209 Estadísticaes_ES
dc.identifier.doi10.1016/j.softx.2022.101250
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleSoftwareXes_ES
dc.volume.number20es_ES
dc.page.initial101250es_ES
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


Dateien zu dieser Ressource

Thumbnail

Das Dokument erscheint in:

Zur Kurzanzeige

Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Solange nicht anders angezeigt, wird die Lizenz wie folgt beschrieben: Attribution-NonCommercial-NoDerivatives 4.0 Internacional