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dc.creatorAlmasi, Alireza.
dc.creatorYousefi, Mahyar.
dc.creatorCarranza, Emmanuel John Muico.
dc.date.accessioned2017-11-07T13:02:16Z
dc.date.available2017-11-07T13:02:16Z
dc.date.created2017-03-02
dc.date.issued2017-11-04
dc.identifier.urihttp://hdl.handle.net/10413/14789
dc.descriptionPeer review journal article. Geology.en_US
dc.description.abstractDiverse deposit-types or mineral systems form by diverse geological processes, so translation of knowledge about the controls of mineralization acquired from the 4D geological modeling into 2D spatial predictor maps is a major challenge for prospectivity analysis. In this regard, mathematical functions have been used to model the conceptual or perceived spatial relationships between geological variables and targeted type or system of mineralization. In this paper, due to the different models of spatial relationships between predictors and mineral deposits, we investigated the performance of different fuzzification functions to quantify the relationships. We demonstrated that various types of relationships between exploration features and a mineralization-type sought could be quantified using different fuzzification functions for prospectivity analysis. We illustrated the process of the prospectivity analysis by using a data set of orogenic gold deposits in Saqez-Sardasht Goldfield, Iran. Prospectivity modeling of orogenic gold mineralization in the study area showed that the NE-SW trending targets have priority for further prospecting of the deposits.en_US
dc.language.isoen_ZAen_US
dc.publisherOre Geology Reviews.en_US
dc.subject.otherSpatial relationship.en_US
dc.subject.otherMineral deposits.en_US
dc.subject.otherProspectivity analysis.en_US
dc.subject.otherZagros Orogen.en_US
dc.subject.otherIran.en_US
dc.subject.otherOrogenic Gold.en_US
dc.titleProspectivity analysis of orogenic gold deposits in Saqez-Sardasht Goldfield, Zagros Orogen, Iran.en_US
dc.typePeer reviewed journal articleen_US


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