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dc.contributor.authorPolanco-Martínez, J.M.
dc.date.accessioned2023-05-31T14:51:57Z
dc.date.available2023-05-31T14:51:57Z
dc.date.issued2023
dc.identifier.citationSoftware Impacts: 16: 100495 (2023)es_ES
dc.identifier.urihttp://hdl.handle.net/10810/61265
dc.description.abstractWe present an updated version v2.2 of the R package W2CWM2C (a graphical tool for wavelet (cross) correlation and multiple wavelet (cross) correlation analysis) v1.0. W2CWM2C contains a set of R functions that improve the graphical representations of wavelet correlation and cross-correlation for the bivariate and multivariate cases. The four functions contained in W2CWM2C are highly flexible since these functions contain several parameters to personalize the correlation heat maps and the format of these graphics, which can be displayed on the screen or can be saved as PNG, JPG, PDF or EPS. The W2CWM2C package also helps to handle the input data (multivariate time series) easily as a list of N columns and provides a multivariate dataset to exemplify its use. W2CWM2C is used for the first time to analyse multivariate climate time series. © 2023 The Author(s)es_ES
dc.description.sponsorshipJMPM acknowledges to the Excellence Unit GECOS, Spain (reference number CLU-2019-03 ), Universidad de Salamanca for funding support. I am thanks to Debojyoti Das, John Garrigan, Peterson Owusu Junior, Rim Ibrahim, and Ato Wilberforce for reporting some bugs found in W2CWM2C package.es_ES
dc.language.isoenges_ES
dc.publisherSoftware Impactses_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/*
dc.subjectMODWTes_ES
dc.subjectWavelet correlationes_ES
dc.subjectWavelet cross-correlationes_ES
dc.subjectWavelet multiple correlationes_ES
dc.subjectWavelet multiple cross-correlationes_ES
dc.titleW2CWM2C reloaded: Ten years later[Formula presented]es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2023 The Author(s)es_ES
dc.rights.holderAtribución-NoComercial-CompartirIgual 3.0 España*
dc.relation.publisherversionhttps://dx.doi.org/10.1016/j.simpa.2023.100495es_ES
dc.identifier.doi10.1016/j.simpa.2023.100495


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