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Evaluation and Prediction of Ecological Environment based on Principal Component Analysis

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DOI: 10.23977/erej.2021.050411 | Downloads: 4 | Views: 169


Kaige Chen 1, Junhong Long 2, Huizhen Zheng 3


1 School of Mechanical and Transportation, Taiyuan University of Technology Engineering, Taiyuan, Shanxi, 030002, China
2 School of computer science and Engineering, Jiangsu university of science and technology, Zhenjiang, Jiangsu, 212003, China
3 School of Public Administration, China University of Geosciences, Wuhan, Hubei, 430074, China

Corresponding Author

Huizhen Zheng


Based on HSB model, principal component analysis and linear fitting are used in this paper. First of all, 11 factors that may affect the ecological environment are collected and quantified. Secondly, the dimension of the influencing factors is reduced based on principal component analysis. Finally, the correlation coefficient between the main influencing factors and the ecological environment is obtained based on the linear model. The three factors that have the greatest impact on the environment of Saihanba are: climate resources factor, forest resources factor and water resources factor.


HSB model, Principal component analysis, Linear fitting


Kaige Chen, Junhong Long, Huizhen Zheng, Evaluation and Prediction of Ecological Environment based on Principal Component Analysis. Environment, Resource and Ecology Journal (2021) 5: 55-59. DOI:


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