Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/75095
Title: Application of multivariate statistical analysis in ecological environment research
Authors: Nguyen, Thi Hai Ly
Lu, Ngoc Tram Anh
Nguyen, Ho
Keywords: Canonical correlation analysis
Cluster analysis
Data analysis
Ecology
Environment
Principal component analysis
Issue Date: 2021
Series/Report no.: Dong Thap University Journal of Science;Vol.10, No.05 .- P.115-120
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.
URI: https://dspace.ctu.edu.vn/jspui/handle/123456789/75095
ISSN: 0866-7675
Appears in Collections:Khoa học ĐH Đồng Tháp

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