A Study of Principal Component Analysis in Comprehensive Indicator Screening for <i>Parocneria Orienta</i> Hazard

JIA Yu-zhen; ZHANG Xin; ZHOU Jian-hua

doi:10.16779/j.cnki.1003-5508.2017.05.014

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Volume 38 Issue 5

Nov. 2019

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Article Navigation > Journal of Sichuan Forestry Science and Technology > 2017 > 38(5): 58-62

JIA Yu-zhen, ZHANG Xin, ZHOU Jian-hua. A Study of Principal Component Analysis in Comprehensive Indicator Screening for Parocneria Orienta Hazard[J]. Journal of Sichuan Forestry Science and Technology, 2017, 38(5): 58-62. doi: 10.16779/j.cnki.1003-5508.2017.05.014

Citation:

JIA Yu-zhen, ZHANG Xin, ZHOU Jian-hua. A Study of Principal Component Analysis in Comprehensive Indicator Screening for Parocneria Orienta Hazard[J]. Journal of Sichuan Forestry Science and Technology, 2017, 38(5): 58-62. doi: 10.16779/j.cnki.1003-5508.2017.05.014

A Study of Principal Component Analysis in Comprehensive Indicator Screening for Parocneria Orienta Hazard

doi: 10.16779/j.cnki.1003-5508.2017.05.014

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Sichuan Academy of Forestry, Chengdu 610081, Sichuan, China;Foresty Bureau of Zhongjiang County, Zhongjiang 618100, China

Received Date: 2017-07-21

Abstract

The aim of this paper is to investigate the application of principal component analysis in impact factors of Parocneria orienta hazard in Zhongjiang County. A principal component analysis was performed by the data of 12 factors associating with the prediction of P. Orienta hazard. The degree of P. Orienta hazard in different regions was obtained and intuitively presented by GIS. The eigenvalues of 3 principal components were 35.274%、20.544%、14.897%, respectively. The accumulative contribution rate of the 3 major factors to total variation accounted for 70.715%, maintaining most of information of 12 characters. According to the comprehensive value of principal component, GIS Natural Breakpoint Method was used to divide the degree of P. Orienta hazard into frequently occurring region, occasionally occurring region and safe area. Results showed that principal component analysis could optimize the comprehensive indicators for the evaluation of P. Orienta hazard, and comprehensive score of Principal Component could quantify and intuitively show the degree of P. Orienta hazard in different regions.
- Principal component analysis(PCA);
- Parocneria orienta;
- Impact factor
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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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A Study of Principal Component Analysis in Comprehensive Indicator Screening for Parocneria Orienta Hazard

doi: 10.16779/j.cnki.1003-5508.2017.05.014

Sichuan Academy of Forestry, Chengdu 610081, Sichuan, China;Foresty Bureau of Zhongjiang County, Zhongjiang 618100, China

Received Date: 2017-07-21

Key words:

Abstract: The aim of this paper is to investigate the application of principal component analysis in impact factors of Parocneria orienta hazard in Zhongjiang County. A principal component analysis was performed by the data of 12 factors associating with the prediction of P. Orienta hazard. The degree of P. Orienta hazard in different regions was obtained and intuitively presented by GIS. The eigenvalues of 3 principal components were 35.274%、20.544%、14.897%, respectively. The accumulative contribution rate of the 3 major factors to total variation accounted for 70.715%, maintaining most of information of 12 characters. According to the comprehensive value of principal component, GIS Natural Breakpoint Method was used to divide the degree of P. Orienta hazard into frequently occurring region, occasionally occurring region and safe area. Results showed that principal component analysis could optimize the comprehensive indicators for the evaluation of P. Orienta hazard, and comprehensive score of Principal Component could quantify and intuitively show the degree of P. Orienta hazard in different regions.