Análisis multivariable de litologías y datos geoquímicos para determinar el uso del suelo en la zona Alamala Catamayo

Abstract

Abstract: The present work is developed from a database product of a sampling carried out in Alamala-Catamayo in 2017, which consists of lithological and geochemical data. In this database multivariate techniques were applied to classify and validate the sampling points; through several multivariate methods such as principal component analysis (PCA) correlations between lithology s and geochemical data were obtained, which allow corroborating the presence of rock-forming minerals, enrichment zones, anomalies; and through supervised classification, new lithological classifications that allow the validation of the sampling. The dry scrubland is one of the ecosystems most threatened by human activities, because itssoils have an important richness and a high rate of endemism; part of the objectives of this work is to prioritize the conservation of these ecosystems that favor the development of biodiversity.