<abstract xmlns="http://www.w3.org/1999/xhtml"><p> In studies of organic soil degradation and transformation, alongside the conventional methods used in soil science, an increase in the importance of advanced statistical methods can be observed. In this study some multivariate statistical methods were applied in an investigation of organic soil transformation in the central Sudetes. Andrews curves, linear and kernel discriminant variable analysis and cluster analysis were used. The similarities among peatland soils and their layers were determined. It can be stated that the application of statistical methods in soil science research related to organic soil transformation is a valuable tool. The use of various statistical methods (such as Andrews curves, linear and kernel discriminant variables and cluster analysis) can with high probability confirm earlier laboratory or field observations. This is particularly justified in the case of organic soils derived from varied geobotanical peat materials, different types of peatlands and water supply types, which impact the primary properties of the soil.</p></abstract>

In studies of organic soil degradation and transformation, alongside the conventional methods used in soil science, an increase in the importance of advanced statistical methods can be observed. In this study some multivariate statistical methods were applied in an investigation of organic soil transformation in the central Sudetes. Andrews curves, linear and kernel discriminant variable analysis and cluster analysis were used. The similarities among peatland soils and their layers were determined. It can be stated that the application of statistical methods in soil science research related to organic soil transformation is a valuable tool. The use of various statistical methods (such as Andrews curves, linear and kernel discriminant variables and cluster analysis) can with high probability confirm earlier laboratory or field observations. This is particularly justified in the case of organic soils derived from varied geobotanical peat materials, different types of peatlands and water supply types, which impact the primary properties of the soil.

Application of multivariate statistical methods in the assessment of mountain organic soil transformation in the central Sudetes

Biometrical Letters

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

In studies of organic soil degradation and transformation, alongside the conventional methods used in soil science, an increase in the importance of advanced...

Application of multivariate statistical methods in the assessment of mountain organic soil transformation in the central Sudetes

Published Online: Jun 13, 2017

Page range: 43 - 59

DOI: https://doi.org/10.1515/bile-2017-0003

Keywords
Andrews curves, degradation, kernel discriminant analysis, linear discriminant analysis, mountain peatlands

© by Bogna Zawieja

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Application of multivariate statistical methods in the assessment of mountain organic soil transformation in the central Sudetes

Published Online: Jun 13, 2017

Page range: 43 - 59

DOI: https://doi.org/10.1515/bile-2017-0003

KeywordsAndrews curves, degradation, kernel discriminant analysis, linear discriminant analysis, mountain peatlands

© by Bogna Zawieja

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
Andrews curves, degradation, kernel discriminant analysis, linear discriminant analysis, mountain peatlands