Abstract
The use of principle component analysis (PCA) in the variant of projection on latent values with discriminant analysis (PLS-DA) in type classification of Siberian region air-dry peat by a set of properties is presented. A statistical analysis in principle component space by PCA of different physico-chemical properties of peat such as component composition, concentration of paramagnetic centers and IR-spectra is presented and shows a developed PLS- DA classification model allows estimating peat type by a set of physico-chemical properties with minimum prediction errors.
Original language | English |
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Title of host publication | IOP Conference Series: Earth and Environmental Science |
Publisher | Institute of Physics Publishing |
Volume | 21 |
Edition | 1 |
DOIs | |
Publication status | Published - 2014 |
Event | 18th International Scientific Symposium in Honour of Academician M. A. Usov: Problems of Geology and Subsurface Development, PGON 2014 - Tomsk, Russian Federation Duration: 7 Apr 2014 → 11 Apr 2014 |
Other
Other | 18th International Scientific Symposium in Honour of Academician M. A. Usov: Problems of Geology and Subsurface Development, PGON 2014 |
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Country | Russian Federation |
City | Tomsk |
Period | 7.4.14 → 11.4.14 |
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)
- Environmental Science(all)