Mackenzie Mountain of Canada’s Northern Cordillera, Northwest Territories, Canada has long been an area with abundant mineral resources of economic benefits. Besides all the commercial exploration drilling program being carried out every year, government supported geological surveys are always ongoing, providing basic guidelines and detail geological background for further greenfield explorations of ore deposits.
In this study, multivariate analysis are performed on silt data bearing multiple elements concentration data to assist geological explorations in a more economic way. The multivariate techniques used in this study include Dendrogram, K-means Clustering, Classification And Regression Tree Analysis and Discriminant Analysis. The results of the analysis have proven the possibility using silt geochemical data as an indirection exploration tool as the behaviors of the variances within the data set are aligned with local geological background. Meanwhile, both distance-based and rotation-based techniques can provide reliable grouping results, which contributes to find out potential indicator elements/ element combinations during geochemical exploration.
In this study, multivariate analysis are performed on silt data bearing multiple elements concentration data to assist geological explorations in a more economic way. The multivariate techniques used in this study include Dendrogram, K-means Clustering, Classification And Regression Tree Analysis and Discriminant Analysis. The results of the analysis have proven the possibility using silt geochemical data as an indirection exploration tool as the behaviors of the variances within the data set are aligned with local geological background. Meanwhile, both distance-based and rotation-based techniques can provide reliable grouping results, which contributes to find out potential indicator elements/ element combinations during geochemical exploration.