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dc.creatorYousefi, Mahyar.
dc.creatorCarranza, Emmanuel John Muico.
dc.date.accessioned2017-11-07T13:40:48Z
dc.date.available2017-11-07T13:40:48Z
dc.date.created2017-10
dc.date.issued2017-10
dc.identifier.urihttp://hdl.handle.net/10413/14791
dc.descriptionMineral Prospectivity Conference, France.en_US
dc.description.abstractIn this work, we present logistic-based mineral prospectivity mapping (MPM) methods concerning with assigning weights of exploration indicators, without contribution of training sites as in supervised MPM and without using user-judged weights as in unsupervised MPM, to modulate the problems of stochastic and systemic errors. In addition, we discuss the ability of prediction-area plot as a tool to assess and compare evidential layers and prospectivity models.en_US
dc.language.isoen_ZAen_US
dc.publisherBureau de Recherches Géologiques et Minières (French Geological Survey).en_US
dc.subject.otherGeology.en_US
dc.subject.otherProspectivity analysis of mineral deposits.en_US
dc.subject.otherPrediction-area plot.en_US
dc.titleThe efficiency of logistic function and prediction-area plot in prospectivity analysis of mineral deposits.en_US
dc.typePresentationen_US


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