2014
DOI: 10.1016/j.oregeorev.2014.05.020
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Geochemistry of Istrian Lower Palaeogene bauxites — Is it relevant to the extent of subaerial exposure during Cretaceous times?

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Cited by 17 publications
(15 citation statements)
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“…Results of the geochemical analysis represent a typical example of compositional data (CoDa) where correlations between relative elemental abundances may not be unequivocal in the absence of any other information or assumptions (LOVELL et al, 2015). A detailed description of CoDa analysis is reported elsewhere (PEH & KOVAČEVIĆ GALOVIĆ, 2014;PEH & KO-VAČEVIĆ GALOVIĆ, 2016;ŠORŠA et al, 2018), with sample references to the original explanations from the Research Group on CoDa Analysis (Girona).…”
Section: Methodsmentioning
confidence: 99%
“…Results of the geochemical analysis represent a typical example of compositional data (CoDa) where correlations between relative elemental abundances may not be unequivocal in the absence of any other information or assumptions (LOVELL et al, 2015). A detailed description of CoDa analysis is reported elsewhere (PEH & KOVAČEVIĆ GALOVIĆ, 2014;PEH & KO-VAČEVIĆ GALOVIĆ, 2016;ŠORŠA et al, 2018), with sample references to the original explanations from the Research Group on CoDa Analysis (Girona).…”
Section: Methodsmentioning
confidence: 99%
“…It is thus not surprising that the wide and recent literature on bauxite deposits has focused on the genetic mechanisms promoting the formation of this type of sedimentary rock (e.g., Mongelli, 2002;Laskou and Economou-Eliopoulos, 2007;Mameli et al, 2007;Zarasvandi et al, 2008;Hoefs, 2009;Karadağ et al, 2009;Wang et al, 2010;Boni et al, 2013;Hanilçi, 2013;Zarasvandi et al, 2013;Abedini and Calagari, 2014;Mongelli et al, 2014;Peh and Kovačević Galović, 2014;Yu et al, 2014).…”
Section: Introductionmentioning
confidence: 99%
“…In addition, data processed in this way can develop a mapping quality that explains the relationship among the original variables more clearly. The aims and principles of DFA are described in detail elsewhere (e.g., [18,20,61]) and have been explained repeatedly by the present authors in various geochemical and environmental studies [23,26,28,34,49,50,52,53,65]. It suffices to say in this paper that DFA is a multivariate method that is particularly effective in pursuing the major sources of between-group differences which, in this study, derive their origin from the accumulation of heavy metals and possibly harmful elements (PHE) in karst soils.…”
Section: Discriminant Function Analysis-the Strategymentioning
confidence: 97%
“…To this purpose, the topsoils collected during the multi-year geochemical mapping campaign (GAC) are examined in light of the various geological and environmental criteria [40-42, 51, 58, 59]. These criteria, as in other geochemical studies on similar problems in the area [34,52,53], are exploited in this study as the most revealing avenues through which the processes mentioned above can be most effectively understood. The criteria are autonomous with regard to the soil geochemistry such as the geological (lithological) setting, description of land use, soil types, or geographical position (with climate implications), which provide the most efficient means of a priori arrangement of the soil samples into a number of coherent and exhaustive statistical groups.…”
Section: Introductionmentioning
confidence: 99%