Influence of the sampling density in the coestimation error of a regionalized locally stationary variable

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dc.contributor.authorHernández Guerra, Heber
dc.contributor.authorAlberdi Celaya, Elisabete
dc.contributor.authorGoti Elordi, Aitor
dc.date.accessioned2025-08-26T11:23:06Z
dc.date.available2025-08-26T11:23:06Z
dc.date.issued2020-01-21
dc.date.updated2025-08-26T11:23:06Z
dc.description.abstractIn the present study, the influence of the sampling density on the coestimation error of a regionalized, locally stationary and geo-mining nature variable is analyzed. The case study is two-dimensional (2D) and synthetic-type, and it has been generated using a non-conditional Sequential Gaussian Simulation (SGS), with subsequent transformation to Gaussian distribution, seeking to emulate the structural behavior of the aforementioned variable. A primary and an auxiliary variable with different spatial and statistical properties are constructed using the same methodology. The collocated ordinary cokriging method has been applied, in which the auxiliary variable is spatially correlated with the primary one and it is known exhaustively. Fifteen sampling densities are extracted from the target population of the primary variable, which are compared with the simulated values after performing coestimation. The obtained results follow a potential function that indicates the mean global error (MGE) based on the sampling density percentage (SDP) (MGE = 1.2366 · SDP−0.224).en
dc.description.sponsorshipThis research was funded by the HAZITEK call of the Basque Government, project acronym HORDAGOen
dc.identifier.citationGuerra, H. H., Alberdi, E., & Goti, A. (2020). Influence of the sampling density in the coestimation error of a regionalized locally stationary variable. Minerals, 10(2). https://doi.org/10.3390/MIN10020090
dc.identifier.doi10.3390/MIN10020090
dc.identifier.eissn2075-163X
dc.identifier.urihttps://hdl.handle.net/20.500.14454/3411
dc.language.isoeng
dc.publisherMDPI AG
dc.rights© 2020 by the authors
dc.subject.otherCollocated ordinary cokriging
dc.subject.otherLocal stationary variables
dc.subject.otherRegionalized
dc.subject.otherSampling density
dc.titleInfluence of the sampling density in the coestimation error of a regionalized locally stationary variableen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue2
oaire.citation.titleMinerals
oaire.citation.volume10
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
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