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Ngày xuất bản: 10/10/2021
Ngày xuất bản Online: 10/10/2021
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DOI: https://doi.org/10.52714/dthu.10.5.2021.902
Số xuất bản
Tập 10 Số 5 (2021): Chuyên san Khoa học Tự nhiên (Tiếng Anh)
Chuyên mục
Natural Sciences Issue
Trích dẫn bài báo
Nguyen, T. H. L., Lu, N. T. A., & Nguyen, H. (2021). Application of multivariate statistical analysis in ecological environment research. Tạp chí Khoa học Đại học Đồng Tháp, 10(5), 115-120. https://doi.org/10.52714/dthu.10.5.2021.902

Application of multivariate statistical analysis in ecological environment research

Nguyen Thi Hai Ly1,, Lu Ngoc Tram Anh2, Nguyen Ho1
1 Department of Agriculture and Environmental Resources, Dong Thap University, Vietnam
2 Department of Natural Sciences Teacher Education, Dong Thap University, Vietnam

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Tóm tắt

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.

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

Từ khóa

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

Tài liệu tham khảo

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