[R-sig-eco] Quantitative analysis of infrared spectroscopy data for soil and plant sciences (SPEC02)

[Oliver Hooker]

ONLINE COURSE - Quantitative analysis of infrared spectroscopy data for
soil and plant sciences (SPEC02)

https://www.prstatistics.com/course/quantitative-analysis-of-infrared-spectroscopy-data-for-soil-and-plant-sciences-spec02/

24th - 26th October 2023

This 3-day short course is aimed at providing an introduction to the
analysis of infrared spectroscopy data using the R programming language.
Infrared spectroscopy is a high- throughput, non-destructive, and cheap
sensing method that has a large range of applications in agricultural,
plant and environmental sciences. Theory underpinning the visible, near and
mid-infrared reflectance will be discussed, as well as interpretation of
the wavelengths corresponding to specific molecular vibrations and the
pre-processing of the raw spectra (day 1). We will then cover chemometric
methods for exploratory spectral analysis with principal component analysis.

We will have the opportunity to detect outlier spectra as well as to select
the samples for laboratory analysis using the spectral data (day 2).
Finally, we will introduce methods for building accurate multivariate
models. Multivariate models will be explained and tested, including machine
learning and conventional statistical algorithms. Sessions will be a blend
of interactive demonstrations/practical and lectures, where learners will
have the opportunity to ask questions throughout.

By the end of the course, participants should be able to:

1) Select the best pre-processing techniques for their own raw infrared
spectral data.
2) Apply data exploration techniques and avoid the common pitfalls in
tackling a data analysis of infrared spectral data.
3) Select the optimal sample size and the best sampling design to subset
spectral data and send the samples for laboratory analysis.
4) Understand and apply approaches for spectral data outlier detection.
5) Apply statistical multivariate modelling methods to infrared
spectroscopy data and validate the model predictions.

Please email oliverhooker using prstatistics.com with any questions

Upcoming courses can be found here
<https://www.prstatistics.com/live-courses/>

-- 

Oliver Hooker PhD.
PR statistics

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