Localised kriging parameter optimisation based on absolute error minimisation

R. Hundelshaussen, J. F.C.L. Costa, D. M. Marques, M. A.A. Bassani

Producción científica: Contribución a una revistaArtículo de revisiónrevisión exhaustiva

6 Citas (Scopus)


The definition of the search neighbourhood in kriging can have a significant impact on the resulting estimates. Stationary domains are usually estimated using a unique search strategy for the entire domain. However, the use of a global search neighbourhood ignores the local variations within each domain, i.e. all blocks are interpolated using a unique search strategy. In this paper, localised kriging parameter optimisation (LKPO) is proposed as an alternative methodology that considers the best ‘local estimation parameter settings’ block by block. The optimisation process is based on absolute error minimisation obtained in cross-validation. Two datasets are presented, the first is a synthetic mineral deposit (2D) and the second is a gold deposit (3D). A wide variety of validation checks show that the use of local kriging parameters significantly improves the grade estimation, obtaining more precise and accurate results than the methodologies currently available in the geostatistical literature.

Idioma originalInglés
Páginas (desde-hasta)153-162
Número de páginas10
PublicaciónApplied Earth Science: Transactions of the Institute of Mining and Metallurgy
EstadoPublicada - 2 oct. 2018
Publicado de forma externa

Nota bibliográfica

Publisher Copyright:
© 2018, © 2018 Institute of Materials, Minerals and Mining and The AusIMM.


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