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This paper deals with R--mode cluster analysis for more than 6000 analytical data from the samples oftectonite and mineralized rocks using the method of multivariate statistical analysis on the basis of division ofthe tectonic fault systems in the Malage Ore Field and R-mode factor analysis for the analytical data fromtectonite samples collected along various directions of the faults according to fourteen variables related to themineralizing elements which are selected in terms of R--mode cluster analysis from the chemical compositionof tectonites. Thus the diribution characteristics of primary halo anomalies have been revealed with respectto lhe metallogenetic elements Sn,Cu, alld Pb,Zn.The tecto-geochemical features are shown by the primaryhalo anomalies, thus providing the theoretical basis for metallogenetic forecast in the ore field.
This paper deals with R - mode cluster analysis for more than 6000 analytical data from the samples of concrete and mineralized rocks using the method of multivariate statistical analysis on the basis of division of the tectonic fault systems in the Malage Ore Field and R-mode factor analysis for the analytical data fromtectonite samples collected along various directions of the faults according to fourteen variables related to themineralizing elements which are selected in terms of R-mode cluster analysis from the chemical composition of tectonites. Thus the diribution characteristics of primary halo anomalies have been revealed with respect to lhe metallogenetic elements Sn, Cu, alld Pb, Zn. The tecto-geochemical features are shown by the primary halo anomalies, thus providing the theoretical basis for metallogenetic forecast in the ore field.