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Date Published: 10/10/2021
Online Published: 10/10/2021
Abstract Views: 45
Views PDF: 38
DOI: https://doi.org/10.52714/dthu.10.5.2021.902
Issue
Vol. 10 No. 5 (2021): Natural Sciences Issue (English)
Section
Natural Sciences Issue
How to Cite
Nguyen, T. H. L., Lu, N. T. A., & Nguyen, H. (2021). Application of multivariate statistical analysis in ecological environment research. Dong Thap University Journal of Science, 10(5), 115-120. https://doi.org/10.52714/dthu.10.5.2021.902

Application of multivariate statistical analysis in ecological environment research

Thi Hai Ly Nguyen1,, Ngoc Tram Anh Lu2, Ho Nguyen1
1 Department of Agriculture and Environmental Resources, Dong Thap University, Vietnam
2 Department of Natural Sciences Teacher Education, Dong Thap University, Vietnam

Main Article Content

Abstract

Multivariate statistics has proven many outstanding advantages and has been used extensively in various studies in the ecological environment field. They supported ecologists to discover the structure and previous relatively objective summary of the primary features of the data. In this paper, some important statistical techniques, including principal component analysis (PCA), canonical correspondence analysis (CCA) and cluster analysis, are explained briefly. Each of them is also examined by a corresponding case-study. The PCA is applied to identify and analyze the relationship between mangrove plant communities and soil factors. Meanwhile, the CCA is put in an application to analyze the relationship between the two sets of species and soil data, from which to determine the effect of soil on the distribution of dominant species. Finally, cluster analysis is examined to analyze the similarities among species in the studied area.

Article Details

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Keywords

Canonical correlation analysis, cluster analysis, data analysis, ecology, environment, principal component analysis

References

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