Comparing two spatial variables with the probability of agreement

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dc.article.numberujae009
dc.catalogadorgrr
dc.contributor.authorAcosta Salazar, Jonathan Daniel
dc.contributor.authorVallejos, Ronny
dc.contributor.authorEllison, Aaron M.
dc.contributor.authorOsorio, Felipe
dc.contributor.authorde Castro, Mário
dc.date.accessioned2024-03-18T19:30:29Z
dc.date.available2024-03-18T19:30:29Z
dc.date.issued2024
dc.description.abstractComputing the agree ment betwee n 2 con tinuous sequences is of grea t interest in statistics when comparing 2 instruments or one instrument with a gold standard. The probability of agree ment quantifies the similarity between 2 variables of interest, and it is useful for determining what constitutes a practically important difference. In this article, we introduce a generalization of the PA for the treatment of spatial vari ables. Our proposal makes the PA dependent on the spatial lag. We establish the conditions for which the PA decays as a function of the distance lag for isotropic stationary and nonstationary spatial processes . Estimtion is addr essed through a first-order appr oxima tion that guarantees the asymp totic normality of the sample version of the PA. The sensitivity of the PA with respect to the covariance parame ters is studied for finite sample size. The new method is described and illustrated with real data involving autumnal changes in the green chromatic coordinate ( G cc ) , an index of “greeness ”that captures the phenological stage of tree leaves, is associ ated with carbon flux from econsys tems, and is estimated from repeated images of forest canopies.
dc.fechaingreso.objetodigital2024-03-18
dc.format.extent14 páginas
dc.fuente.origenORCID
dc.identifier.doi10.1093/biomtc/ujae009
dc.identifier.urihttps://doi.org/10.1093/biomtc/ujae009
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/84625
dc.information.autorucFacultad de Matemáticas; Acosta Salazar, Jonathan Daniel; 0000-0001-6323-9746; 1182854
dc.issue.numero1
dc.language.isoen
dc.nota.accesoContenido parcial
dc.revistaBiometrics
dc.rightsacceso restringido
dc.subjectBivariate gaussian spatial process
dc.subjectCovariance functions
dc.subjectG cc index
dc.subjectSpatiotemporal process
dc.subject.ddc510
dc.subject.deweyMatemática física y químicaes_ES
dc.titleComparing two spatial variables with the probability of agreement
dc.typeartículo
dc.volumen80
sipa.codpersvinculados1182854
sipa.trazabilidadORCID;2024-03-18
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