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KDM is a meta-model for representing existing software systems, its elements, associations, and operational environments.
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Based on rotated components matrix three factors have been extracted for analysis of major elements association in the studied samples (Fig. 6a, b).
Trace element associations are mainly common to stream and bottom sediments and related adjacent drainage areas.
The presence of such complexes may provide part of the explanation for the element associations typically seen in sulfide deposits.
Factor analysis was applied on the log-transformed geochemical data to infer the controlling factors behind multi-element associations in relation to catchment geology, mineralization or anthropogenic activities.
Also, graduated symbol plots of factor scores of the element associations obtained by factor analysis were produced to examine their relationship with the basin geology.
The analytical data obtained from rock, soil and water samples were used to derive inter-element associations and to understand factors contributing to groundwater quality.
The spatial distribution of the factor scores of the element associations and their relationship with the geology are shown in Fig. 3a c.
Erosional and depositional processes control the preservation and occurrence of specific regolith units that may be used as sample media and, in turn, target size, element associations and contrast, thereby influencing sampling procedures, analysis and data interpretation.
The 3D expression of mineralization in the landscape is depicted as empirical conceptual models, that account for both relict features and active processes, and portray element associations, dispersion mechanisms and host materials.
This suggests that previous phylogenetic analyses of BCI assemblages that found significant phylogenetic structuring in different habitats [16], [19] may be partially explained upon the basis of phylogenetically conserved soil nutrient and element associations.
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