Localised kriging parameter optimisation based on absolute error minimisation

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

Research output: Contribution to journalReview articlepeer-review

6 Scopus citations


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.

Original languageEnglish
Pages (from-to)153-162
Number of pages10
JournalApplied Earth Science: Transactions of the Institute of Mining and Metallurgy
Issue number4
StatePublished - 2 Oct 2018
Externally publishedYes

Bibliographical note

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


  • Kriging parameters
  • local optimisation
  • search neighbourhood


Dive into the research topics of 'Localised kriging parameter optimisation based on absolute error minimisation'. Together they form a unique fingerprint.

Cite this