The use of principle component analysis in type classification of air-dry peat

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

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 languageEnglish
Title of host publicationIOP Conference Series: Earth and Environmental Science
PublisherInstitute of Physics Publishing
Volume21
Edition1
DOIs
Publication statusPublished - 2014
Event18th International Scientific Symposium in Honour of Academician M. A. Usov: Problems of Geology and Subsurface Development, PGON 2014 - Tomsk, Russian Federation
Duration: 7 Apr 201411 Apr 2014

Other

Other18th International Scientific Symposium in Honour of Academician M. A. Usov: Problems of Geology and Subsurface Development, PGON 2014
CountryRussian Federation
CityTomsk
Period7.4.1411.4.14

ASJC Scopus subject areas

  • Earth and Planetary Sciences(all)
  • Environmental Science(all)

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    Chukhareva, N., Zarubin, A. G., & Bulgakova, O. (2014). The use of principle component analysis in type classification of air-dry peat. In IOP Conference Series: Earth and Environmental Science (1 ed., Vol. 21). [012045] Institute of Physics Publishing. https://doi.org/10.1088/1755-1315/21/1/012045