A review of new methodological applications for co-kriging in Earth Sciences

E. Pardo-Igúzquiza; M. Chica-Olmo; J. P. Rigol-Sánchez; J. A. Luque-Espinar; V. Rodríguez-Galiano

doi:10.21701/bolgeomin.122.4.007

Authors

E. Pardo-Igúzquiza Instituto Geológico y Minero de España (IGME)
M. Chica-Olmo Laboratorio RSGIS. Departamento de Geodinámica. Universidad de Granada
J. P. Rigol-Sánchez Laboratorio RSGIS. Departamento de Geología. Facultad de Ciencias. Universidad de Jaén
J. A. Luque-Espinar Instituto Geológico y Minero de España (IGME)
V. Rodríguez-Galiano Laboratorio RSGIS. Departamento de Geodinámica. Universidad de Granada

DOI:

https://doi.org/10.21701/bolgeomin.122.4.007

Keywords:

boundary conditions, directional derivative, downscaling, gradient, inverse problem

Abstract

Cokriging is the multivariate geostatistical estimator that has also been used for estimating spatial factors (factorial cokriging) and for estimating the local distribution function (indicator cokriging). Nevertheless, we show here the flexibility that cokriging offers by reviewing four new applications: (i) downscaling cokriging for image sharpening in remote sensing; (ii) cokriging as a solution to the inverse problem in hydrogeology; (iii) cokriging for estimating directional derivatives; and (iv) cokriging interpolation taking into account boundary conditions. The different applications are illustrated with data from the Vega de Granada aquifer in southern Spain.

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