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dc.contributor.authorMartín Álvarez, Juan Manuel
dc.date2026
dc.date.accessioned2026-04-28T08:32:34Z
dc.date.available2026-04-28T08:32:34Z
dc.identifier.urihttps://reunir.unir.net/handle/123456789/19745
dc.description.abstractThis replication package contains the dataset and the R scripts required to reproduce the empirical analysis presented in the article “From growth to spatial structure: Forecasting and clustering the evolution of solar energy across Chinese provinces.” The package includes monthly provincial solar production data for China, the R code used to estimate forecasting models (including SARIMA, ETS, NNAR, and others), generate forecasts up to 2029, and perform spatial analysis using Moran’s I and LISA clustering techniques. It also produces the figures and tables reported in the paper, along with all necessary instructions for replication.es_ES
dc.language.isoenges_ES
dc.rightsopenAccesses_ES
dc.subjectsolar energyes_ES
dc.subjectforecastinges_ES
dc.subjectspatial analysises_ES
dc.subjectMoran’s Ies_ES
dc.subjectLISAes_ES
dc.subjectChinaes_ES
dc.subjectreplication packagees_ES
dc.titleReplication package for: “From growth to spatial structure: Forecasting and clustering the evolution of solar energy across Chinese provinces”es_ES
dc.typeotheres_ES
reunir.tag~OPUes_ES


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