Physicochemical typology of high Andean sediments by multivariate classification and statistical validation: evidence of mineralization gradients, alkalinity, organic accumulation and calcium signal
DOI:
https://doi.org/10.55204/trc.v6i1.e686Keywords:
Main components (PCA), Bootstrap, Physicochemical variables: total organic carbon (SOC), organic matter (OM), electrical conductivity (EC), pH, calcium (Ca)Abstract
The study develops a physicochemical typology of high Andean sediments based on multivariate classification and statistical validation, identifying key gradients of mineralization, alkalinity, organic accumulation and calcium signal. Data were analyzed on variables such as total organic carbon (SOC), organic matter (OM), electrical conductivity (EC), pH and calcium (Ca) from four sedimentary groups (G1–G4). Principal component analysis (PCA) corroborated the multivariate differentiation between groups. The supervised LDA methods showed high accuracy in the discrimination of the samples, while the internal robustness was evaluated by bootstrap. The resulting typology classifies the sediments into four types: calcium with intermediate mineralization, organic-alkaline with low mineralization, weakly acidic organic-mineralized and mineralized with low organic accumulation. This robust statistical approach allows interpreting and validating the sedimentary structure in a coherent and reproducible way, providing clear evidence on the physicochemical gradients that characterize the high Andean sediments.Downloads
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