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Author | dc.contributor.author | Hekmatnejad, Amin | |
Author | dc.contributor.author | Emery, Xavier | |
Author | dc.contributor.author | Alipour-Shahsavari, Mehrnoosh | |
Admission date | dc.date.accessioned | 2019-10-11T17:30:13Z | |
Available date | dc.date.available | 2019-10-11T17:30:13Z | |
Publication date | dc.date.issued | 2019 | |
Cita de ítem | dc.identifier.citation | International Journal of Mining, Reclamation and Environment, Volumen 33, Issue 4, 2019, Pages 247-264 | |
Identifier | dc.identifier.issn | 17480949 | |
Identifier | dc.identifier.issn | 17480930 | |
Identifier | dc.identifier.other | 10.1080/17480930.2017.1386430 | |
Identifier | dc.identifier.uri | https://repositorio.uchile.cl/handle/2250/171294 | |
Abstract | dc.description.abstract | © 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group. Ore/waste classification and economic evaluations of mineral deposits rely on the grade of elements of interest, which must be predicted as accurately as possible to minimise misclassifications. Ordinary kriging is commonly used for such a purpose, but non-linear predictors such as disjunctive kriging may improve the results. In this context, this work presents two case studies, in one of which (gold grades with heavy-tailed distribution) disjunctive kriging outperforms ordinary kriging, while in the other case study (copper grades with a moderately skewed distribution), it turns out to be as accurate as ordinary kriging, although with less conditional bias. | |
Lenguage | dc.language.iso | en | |
Publisher | dc.publisher | Taylor and Francis Ltd. | |
Type of license | dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Chile | |
Link to License | dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | |
Source | dc.source | International Journal of Mining, Reclamation and Environment | |
Keywords | dc.subject | disjunctive kriging | |
Keywords | dc.subject | mineral resources | |
Keywords | dc.subject | Ordinary kriging | |
Keywords | dc.subject | spatial prediction | |
Título | dc.title | Comparing linear and non-linear kriging for grade prediction and ore/waste classification in mineral deposits | |
Document type | dc.type | Artículo de revista | |
Cataloguer | uchile.catalogador | SCOPUS | |
Indexation | uchile.index | Artículo de publicación SCOPUS | |
uchile.cosecha | uchile.cosecha | SI | |
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Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile