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fingerPro (version 1.1)

Sediment Source Fingerprinting

Description

Quantifies the provenance of the sediments in a catchment or study area. Based on a comprehensive characterization of the sediment sources and the end sediment mixtures a mixing model algorithm is applied to the sediment mixtures in order to estimate the relative contribution of each potential source. The package includes several statistical methods such as Kruskal-Wallis test, discriminant function analysis ('DFA'), principal component plot ('PCA') to select the optimal subset of tracer properties. The variability within each sediment source is also considered to estimate the statistical distribution of the sources contribution.

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Version

Install

install.packages('fingerPro')

Monthly Downloads

166

Version

1.1

License

GPL (>= 2)

Maintainer

Ivan Lizaga

Last Published

August 28th, 2018

Functions in fingerPro (1.1)

correlationPlot

Correlation matrix chart
DFATest

Discriminant function analysis test
KWTest

Kruskal-Wallis rank sum test
unmix_c

Mixing model
writeResults

Save the results
LDAPlot

Linear discriminat analysis chart
ggbiplot

Biplot for Principal Components using ggplot2
inputSample

Input sediment mixtures
boxPlot

Box and whiskers plot
PCAPlot

Principal component analysis chart
rangeTest

Range test
catchment

Land use and fingerprinting properties in a Mediterranean catchment
unmix

Unmix sediment mixtures
plotResults

Displays the results in the screen
inputSource

Input sediment sources
fingerPro-package

Sediment Source Fingerprinting