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Figure 1: Study Area of Weinsberger Granite and adjacent fine grained granitoids (Finger & Haunschmid, 1988, modified). Figure 2a: Ce content in Weinsberger Granite (upper row) and adjacent fine grained granitoides (lower row). Table 2 Table 1 Multivariate log-ratio statistics and GIS: A combined approach to analyze geochemistry data of stream sediment samples within granite areas of the Bohemian Massif in Austria H. REITNER 1* , P. FILZMOSER 2 and H. PIRKL 3 IAMG 2015 The 17th annual conference of the International Association for Mathematical Geosciences September 5-13, 2015, Freiberg (Saxony) Germany Session: 54 GeoMap Poster Number: 617 1 Introduction: A geochemical data set of stream sediments has been investigated in areas of coarse and fine grained granitoids of the Bohemian Massif in Austria (Figure 1) by means of compositional data analysis (Aitchison, 1986). The data set is part of the Geochemical Atlas of Austria (Thalmann et al., 1989) and contains major and trace element data of stream sediment samples (< 180 μm). 2 Variation matrices and exploratory data analysis: The stream sediment samples have been analyzed by means of variation matrices using the software CoDaPack (Thió-Henestrosa & Comas, 2011) for main and trace elements, variation matrices for stream sediments of the Weinsberger Granite are shown in tables 1 and 2. Additionally exploratory data analysis (Reimann et al., 2008) was done utilizing the R software packages StatDA (Filzmoser, 2015) and Compositions (van den Boogaart et al., 2015). As an example, a combination of histogram, density trace, one-dimensional scatterplot and probability plot does reveal the higher content of the rare earth element Ce within the stream sediments of the Weinsberger Granite area, as compared to the Ce content of the adjacent fine grained granitoids (Figure 2a). The scatterplots of centered logratio tranformed Al vs. K and Ce vs. La show a coordinated behaviour of these elements in areas of the Weinsberger Granite (Figure 2b), these element pairs are essentially not modified in weathering and sedimentation processes, a picture analog to the variation matrices. 3 Robust principal component analysis (PCA) of compositional data: A robust principal component analysis (PCA) was performed, specifically developed for the compositional data analysis approach (Filzmoser et al., 2009), utilizing the R software package robCompositions (Templ et al., 2011). The analysis was done first separately for main and trace elements of samples in the Weinsberger Granite area and adjacent fine grained granites, as well as combining main and trace elements in a second step (Figure 3). There is a difference of the Na rays of Weinsberger Granite and fine grained granitoids, which may indicate a difference in felspar proportions. The combined biplots do reveal the association of certain trace elements with main elements, i.e. K and Rb. The contrasting pattern of Ce, La and Zr against the other elements do persist in the biplots. Therefore the variation of Ce, La and Zr seems to be not related to the different content of minerals of the bedrock but to sedimentation processes, i.e. sedimentation of placer deposits. Figure 3: Centered log ratio biplots of PC1 and PC2 of main elements (upper row), trace elements (middle row) and combined main and trace elements (lower row) of stream sediments of Weinsberger Granite (left) and fine grained granitoids (right). 4 Score maps and digital terrain model: Additionally, the scores of the first principal components have been mapped in a Geographic Information System as point symbol maps on top of digital terrain maps. In search of homogenous areas, the score maps do show some localized patterns (Figure 4, left) and also regional patterns, apparently according to varying erosional status of the granitoid areas Figure 4, right). Figure 4: PC1 (left) and PC2 (right) scores of main elements of stream sediments within Weinsberger Granite area (scores in quartile classes) References are cited in the extended abstract. 1 Geological Survey of Austria, [email protected] , 2 Vienna University of Technology, Austria, 3 Technical Office of Geology, Austria *presenting author Figure 2b: Centered log ratio scatterplots, Clr(Al) vs. Clr(K) (left) and Clr(La) vs. Clr(Ce) (right) of stream sediments in Weinsberger Granite.
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Page 1: Multivariate log-ratio statistics and GIS: A combined ...€¦ · Multivariate log-ratio statistics and GIS: A combined approach to analyze geochemistry data of . stream sediment

Figure 1: Study Area of Weinsberger Granite andadjacent fine grained granitoids (Finger & Haunschmid, 1988, modified).

Figure 2a: Ce content in Weinsberger Granite (upper row) and adjacent fine grained granitoides (lower row).

Table 2

Table 1

Multivariate log-ratio statistics and GIS: A combined approach to analyze geochemistry data of stream sediment samples within granite areas of the Bohemian Massif in Austria

H. REITNER1*, P. FILZMOSER2 and H. PIRKL3

IAMG 2015 The 17th annual conference of the International Association for Mathematical Geosciences

September 5-13, 2015, Freiberg (Saxony) Germany

Session: 54 GeoMapPoster Number: 617

1 Introduction: A geochemical data set of stream sediments has been investigated in areas of coarse and fine grained granitoids of the Bohemian Massif in Austria (Figure 1) by means of compositional data analysis (Aitchison, 1986). The data set is part of the Geochemical Atlas of Austria (Thalmann et al., 1989) and contains major and trace element data of stream sediment samples (< 180 µm).

2 Variation matrices and exploratory data analysis:The stream sediment samples have been analyzed by means of variation matrices using the software CoDaPack (Thió-Henestrosa & Comas, 2011) for mainand trace elements, variation matrices for stream sediments of the Weinsberger Granite are shown in tables 1 and 2. Additionally exploratory data analysis(Reimann et al., 2008) was done utilizing the R software packages StatDA (Filzmoser, 2015) and Compositions (van den Boogaart et al., 2015). As anexample, a combination of histogram, density trace, one-dimensional scatterplot and probability plot does reveal the higher content of the rare earth elementCe within the stream sediments of the Weinsberger Granite area, as compared to the Ce content of the adjacent fine grained granitoids (Figure 2a). Thescatterplots of centered logratio tranformed Al vs. K and Ce vs. La show a coordinated behaviour of these elements in areas of the Weinsberger Granite(Figure 2b), these element pairs are essentially not modified in weathering and sedimentation processes, a picture analog to the variation matrices.

3 Robust principal component analysis (PCA) of compositional data: A robust principal component analysis (PCA) was performed, specificallydeveloped for the compositional data analysis approach (Filzmoser et al., 2009), utilizing the R software package robCompositions (Templ et al., 2011). Theanalysis was done first separately for main and trace elements of samples in the Weinsberger Granite area and adjacent fine grained granites, as well ascombining main and trace elements in a second step (Figure 3). There is a difference of the Na rays of Weinsberger Granite and fine grained granitoids,which may indicate a difference in felspar proportions. The combined biplots do reveal the association of certain trace elements with main elements, i.e. Kand Rb. The contrasting pattern of Ce, La and Zr against the other elements do persist in the biplots. Therefore the variation of Ce, La and Zr seems to benot related to the different content of minerals of the bedrock but to sedimentation processes, i.e. sedimentation of placer deposits.

Figure 3: Centered log ratio biplots of PC1 and PC2 ofmain elements (upper row), trace elements (middle row)and combined main and trace elements (lower row) ofstream sediments of Weinsberger Granite (left) and finegrained granitoids (right).

4 Score maps and digital terrain model: Additionally, the scores of the first principal componentshave been mapped in a Geographic Information System as point symbol maps on top of digitalterrain maps. In search of homogenous areas, the score maps do show some localized patterns(Figure 4, left) and also regional patterns, apparently according to varying erosional status of thegranitoid areas Figure 4, right).

Figure 4: PC1 (left) and PC2 (right) scores of main elements of stream sediments withinWeinsberger Granite area (scores in quartile classes)References are cited in the extended abstract.

1Geological Survey of Austria, [email protected], 2Vienna University of Technology, Austria, 3Technical Office of Geology, Austria*presenting author

Figure 2b: Centered log ratio scatterplots, Clr(Al) vs. Clr(K)(left) and Clr(La) vs. Clr(Ce) (right) of stream sediments inWeinsberger Granite.

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