análisis exploratorio de variables regionalizadas con métodos funcionales exploratory analysis of regionalized variables with functional methods
Abstract
Se muestra cómo las estadísticas descriptivas funcionales y el análisis en componentes principales funcional (ACPF) pueden emplearse en la evaluación empírica del supuesto de estacionariedad considerado en la modelación de variables regionalizadas. Se toma como ejemplo información georreferenciada correspondiente a mediciones de profundidad recogidas en 114 sitios de la Ciénaga Grande de Santa Marta, Colombia.
It is shown how summary statistics of functional data and functional principal components analysis (FPCA) can be used to evaluate the stationarity assumption considered in modeling of regionalized variables. As an example is taken georeferenced information of depth measured at 114 locations at Ciénaga Grande de Santa Marta, Colombia.
It is shown how summary statistics of functional data and functional principal components analysis (FPCA) can be used to evaluate the stationarity assumption considered in modeling of regionalized variables. As an example is taken georeferenced information of depth measured at 114 locations at Ciénaga Grande de Santa Marta, Colombia.
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