1988
DOI: 10.1016/0375-6742(88)90066-0
|View full text |Cite
|
Sign up to set email alerts
|

Exploratory data analysis: recent advances for the interpretation of geochemical data

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
23
0
1

Year Published

2008
2008
2023
2023

Publication Types

Select...
4
3
1

Relationship

0
8

Authors

Journals

citations
Cited by 128 publications
(26 citation statements)
references
References 2 publications
0
23
0
1
Order By: Relevance
“…In order to detect outliers in this study, the mono-element data were subjected to box-and-whiskers plots (Tukey, 1977;Kürzl, 1988;Carranza 2009;and references therein) using STATISTICA 12 software. Outliers (in the transformed data) were excluded from PC analysis, but the scores of the excluded outlier samples were calculated using the factor loading matrix.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…In order to detect outliers in this study, the mono-element data were subjected to box-and-whiskers plots (Tukey, 1977;Kürzl, 1988;Carranza 2009;and references therein) using STATISTICA 12 software. Outliers (in the transformed data) were excluded from PC analysis, but the scores of the excluded outlier samples were calculated using the factor loading matrix.…”
Section: Accepted Manuscriptmentioning
confidence: 99%
“…We applied Exploratory Data Analysis (EDA) techniques to statistically describe the data (Tukey, 1977;Hoaglin et al, 1983;Kürzl, 1988;Reimann and Filzmoser, 2000;Bech et al, 2006). Furthermore, for each element, we present four different EDA graphs: a histogram, a box-plot, a onedimensional scattergram, and a cumulative probability plot (CDF diagram).…”
Section: Statistical Analysesmentioning
confidence: 99%
“…Exploratory data analysis (EDA) is a technique developed in the 1980s to improve the interpretation of geochemical data (Kürzl, 1988). EDA has since then been effectively utilizedto analyze large data sets of sediment/soil geochemistry, whichby nature hold a close dependency to geology and thus tend to be non-normally distributed.…”
Section: Exploratory Data Analysismentioning
confidence: 99%
“…EDA has since then been effectively utilizedto analyze large data sets of sediment/soil geochemistry, whichby nature hold a close dependency to geology and thus tend to be non-normally distributed. EDA overcomes the non-normality limitation by generating instead 'potentially explicable' data patterns (Kürzl, 1988;Zhang & Selinus, 1998;Carranza, 2009;Chiprés et al, 2009b). In addition, EDA permits the grouping of data with respect to parent material and/or soil type (Carranza, 2009;Chiprés et al, 2009a) and the analysis of only selected elements (Zhang & Selinus, 1998;Reimann & Garret, 2005;Carranza, 2009).…”
Section: Exploratory Data Analysismentioning
confidence: 99%
See 1 more Smart Citation