Factor analysis of the parameters of the ergatic natural-production system of the carting out of timber assortments

IF 2.1 3区 农林科学 Q2 FORESTRY International Journal of Forest Engineering Pub Date : 2022-01-11 DOI:10.1080/14942119.2022.2018839
Mokhirev Aleksandr, Mazurkin Petr, Rukomojnikov Konstantin
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引用次数: 1

Abstract

ABSTRACT Factor analysis of 35 factors in 162 experiments was conducted for carting out timber from the forest to a forest products mill using the method of identifying stable patterns. The sampling power of the total correlation matrix was 352 = 1225 values of the correlation index for the identified stable patterns. According to the identified patterns of rank-size distributions and binary relations, the number of pre-selected factors decreased from 35 to 24 in summer (68.57%) and to 25 in winter (71.43%) using the proposed method of factor analysis. Basically, factors with a correlation index of less than 0.3 were excluded. Structural indicators become a system parameter of the set of regularities of binary relations, which decrease with an increase in the “permissible” correlation index. In total there are 1190 pairs of binary relations. According to the research results, among the influencing variables, the factor “type of snow and ice cover” was in first place, “number of the month in the year” was in second place, and “time of operation of the logging truck” was in third place. Among the dependent indicators in comparison with the general correlation matrix and the matrix of strong connections, the first and second places were: “the height of the snow cover (off the road)”; the given eastern longitude. The factor “the wheel formula of the logging truck” was in third place.
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木材品种运出生态自然生产系统参数的因子分析
摘要采用确定稳定模式的方法,对162个将木材从森林运到林产品加工厂的实验中的35个因素进行了因子分析。对于所识别的稳定模式,总相关矩阵的采样功率为352=相关指数的1225个值。根据已识别的秩大小分布模式和二元关系,使用所提出的因子分析方法,预选因子的数量从35个减少到夏季的24个(68.57%)和冬季的25个(71.43%)。基本上,相关指数小于0.3的因素被排除在外。结构指标是二元关系规律集的一个系统参数,它随着“允许”相关指数的增加而减少。总共有1190对二元关系。根据研究结果,在影响变量中,因素“冰雪覆盖类型”排在第一位,“一年中的月份数”排在第二位,“伐木车的作业时间”排第三位。在与一般相关矩阵和强关联矩阵相比的相关指标中,排名第一和第二的是:“积雪高度(道路外)”;给定的东经。因素“伐木车车轮公式”排在第三位。
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来源期刊
CiteScore
3.70
自引率
21.10%
发文量
33
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