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基于主成分和聚类分析的影响巴西雨林的因素研究
引用本文:黄浩,王浩华. 基于主成分和聚类分析的影响巴西雨林的因素研究[J]. 海南大学学报(自然科学版), 2013, 0(4): 323-329
作者姓名:黄浩  王浩华
作者单位:海南大学信息科学技术学院,海南海口570228
基金项目:海南大学教育教学科研资助项目(hdjy1310)
摘    要:应用主成分和聚类分析法对影响巴西热带雨林的因素进行分析,同时构造综合评价函数,对巴西9个地区的森林破坏程度进行了评价和排序,结果表明,养牛业和甘蔗种植对巴西雨林的破坏非常显著.此外,对如何有效控制森林砍伐提出了一些合理的建议.

关 键 词:主成分法  聚类分析法  巴西雨林  森林砍伐面积

Destruction Factors of Brazilian Rain Forest Based on Principal Component Analysis and Cluster Analysis Method
HUANG Hao,WANG Hao-hua. Destruction Factors of Brazilian Rain Forest Based on Principal Component Analysis and Cluster Analysis Method[J]. Natural Science Journal of Hainan University, 2013, 0(4): 323-329
Authors:HUANG Hao  WANG Hao-hua
Affiliation:(College of Information Science & Technology, Hainan University, Haikou 573228, China)
Abstract:In the report, principal component analysis and cluster analysis were performed to analyze the de- struction factors of Brazilian Rain Forest, and the evaluation functions constructed were used to evaluate and sort the deforestation degree of nine regions in Brazil. The results suggested that the cattle industry and sugar cane planting have very significant destruct effects on Brazilian Rain Forest. Some suggestions on how to control defor- estation were also proposed.
Keywords:principal component analysis  clustering analysis  Brazilian rainforest  deforestation
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