Cokriging prediction using as secondary variable a functional random field with application in environmental pollution

Ramón Giraldo, Luis Herrera, VICTOR ELISEO LEIVA SANCHEZ

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

21 Citas (Scopus)

Resumen

Cokriging is a geostatistical technique that is used for spatial prediction when realizations of a random field are available. If a secondary variable is cross-correlated with the primary variable, both variables may be employed for prediction by means of cokriging. In this work, we propose a predictive model that is based on cokriging when the secondary variable is functional. As in the ordinary cokriging, a co-regionalized linear model is needed in order to estimate the corresponding auto-correlations and cross-correlations. The proposed model is utilized for predicting the environmental pollution of particulate matter when considering wind speed curves as functional secondary variable.

Idioma originalInglés
Número de artículo1305
PublicaciónMathematics
Volumen8
N.º8
DOI
EstadoPublicada - ago. 2020
Publicado de forma externa

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