Workshops
staRdom: Parallel factor (PARAFAC) analysis of dissolved organic matter samples in R
Matthias Pucher
WasserClusterLunz – Biologische Station GmbH, Lunz am See, Austria
Institute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Vienna, Austria
WasserClusterLunz – Biologische Station GmbH, Lunz am See, Austria
Institute of Hydrobiology and Aquatic Ecosystem Management, University of Natural Resources and Life Sciences, Vienna, Austria
This workshop will guide you through an analysis of dissolved organic matter (DOM) spectroscopic data using the R package staRdom.
DOM is an important biogeochemical parameter in streams and soils. Depending on the composition, it influences microbial community compositions and nutrient cycles. Measuring the spectroscopic characteristics is a fast and simple method to determine the composition and can give insights into the amount of different DOM compound groups.
A PARAFAC analysis is a common, yet not straightforward way to decompose fluorescence excitation-emission matrices (EEM) by separating peaks, thus providing an impression of the DOM composition. Although limited to fluorescing compounds and facilitating only a rough separation into molecular groups, the results of a PARAFAC analysis have proven worthy for ecological and biogeochemical research.
The workshop will address:
No prerequisites are required, but it is easier to follow the workshop if
I am especially happy to answer your questions and talk about your ideas and your own experiences with staRdom and/or the decomposition of DOM fluorescence data!
Additional information is available on https://cran.r-project.org/package=staRdom and https://www.mdpi.com/2073-4441/11/11/2366/htm.
If you have questions or wishes for the workshop, please contact me at [email protected].
DOM is an important biogeochemical parameter in streams and soils. Depending on the composition, it influences microbial community compositions and nutrient cycles. Measuring the spectroscopic characteristics is a fast and simple method to determine the composition and can give insights into the amount of different DOM compound groups.
A PARAFAC analysis is a common, yet not straightforward way to decompose fluorescence excitation-emission matrices (EEM) by separating peaks, thus providing an impression of the DOM composition. Although limited to fluorescing compounds and facilitating only a rough separation into molecular groups, the results of a PARAFAC analysis have proven worthy for ecological and biogeochemical research.
The workshop will address:
- data maintenance and import,
- EEM correction (inner-filter effect correction, scatter removal, interpolation, sample standardisation),
- fluorescence peaks and indices and absorbance indices in short,
- PARAFAC analysis (outlier detection, model validation, determination of components), and
- your questions, problems, and ideas.
No prerequisites are required, but it is easier to follow the workshop if
- you are familiar with R and the tidyverse, and
- you have already tried to find your way through staRdom.
I am especially happy to answer your questions and talk about your ideas and your own experiences with staRdom and/or the decomposition of DOM fluorescence data!
Additional information is available on https://cran.r-project.org/package=staRdom and https://www.mdpi.com/2073-4441/11/11/2366/htm.
If you have questions or wishes for the workshop, please contact me at [email protected].