Writers : Ghoorchi, M.; Karimpor, M. H.
Refference : 1st Symposium of Iranian Society of Economic Geology
Publishing Year : 1389

Abstract :

Principle component analysis (PCA) is one of the methods that can help reveal simpler patterns within a complex set of variables. In particular this method seeks to discover if the observed variables can be explained largely or entirely in terms of a much smaller number of variables. In mineral exploration, the most common application of this multivariate analysis method is to characterize and map interrelationship within high volume surface geochemistry data sets. Principle component analysis in Feizabad is showing at least five trends in elements distribution. These factors show Cr-Ni-V, Au-Cu-As, Pb-Zn-F-Ba, Mo-Bi and Sn-W anomalies.

Subject List : Geochemical Exploration