1985
DOI: 10.1086/628968
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Evaluation through Correlation and Principal Component Analyses of a Delta Origin for the Hawthorne and Citronelle Sediments of Peninsular Florida

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1989
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Cited by 8 publications
(4 citation statements)
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“…PCA has also been recently used to characterize particle size data, including studies of soil fertility (Chen and Duan, 2009) and pollution (Sielaff and Einax, 2007). Most related to our research, Pirkle et al (1985) performed a PCA of textural and other sedimentological data to differentiate between marine and terrestrial sediments in Florida; Using grain size data, components were analyzed to help identify mode of transport and availability of source material (Pirkle et al, 1985); thus, interpretation of PCA components can help identify depositional environments. We are not aware of any applications of PCA in paleoenvironmental geomorphic research.…”
Section: Background: Use Of Pca In the Geosciencesmentioning
confidence: 99%
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“…PCA has also been recently used to characterize particle size data, including studies of soil fertility (Chen and Duan, 2009) and pollution (Sielaff and Einax, 2007). Most related to our research, Pirkle et al (1985) performed a PCA of textural and other sedimentological data to differentiate between marine and terrestrial sediments in Florida; Using grain size data, components were analyzed to help identify mode of transport and availability of source material (Pirkle et al, 1985); thus, interpretation of PCA components can help identify depositional environments. We are not aware of any applications of PCA in paleoenvironmental geomorphic research.…”
Section: Background: Use Of Pca In the Geosciencesmentioning
confidence: 99%
“…We believe that such data can be useful for the discrimination and mapping of these loess deposits and their sources, e.g., Pirkle et al (1985). Our goal is not to present finished, detailed maps of these loess sheets, but to explore the utility of statistical analysis methods, particularly the use of principal components analysis (PCA) and spatial interpolation, in understanding the character, distributions and origins of loess in Wisconsin and Upper Michigan.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, the percent of the 3½ to 4½ heavy mineral fraction consisting of specific heavy minerals (ilmenite, leucoxene, epidote, garnet, and hornblende) is analyzed. These five minerals may reflect postdepositional weathering and selective sorting or reworking (Pirkle et al, 1985).…”
Section: Variables Analyzedmentioning
confidence: 99%
“…Additionally, standard guaranteed ranges are given as follows: ZrO 2 +HfO 2 : minimum 65%, Fe 2 O 3 : maximum range from as low as 0.04 to 0.25%, TiO 2 : maximum range from 0.10 to 0.30% [10,17]. A high percentage of zircon implies that the mineral has a high ZrO 2 content [18]. For zircon to be used efficiently, interfering impurities or contaminants must be removed because they can affect performance, reduce its value, and limit its industrial applications.…”
Section: Introductionmentioning
confidence: 99%