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林业资源管理 ›› 2009, Vol. 0 ›› Issue (6): 28-33.

• 科学技术 • 上一篇    下一篇

基于改进的投影寻踪技术的乌桕发展区域评价

李宝银1, 周俊新1, 陈白璧2   

  1. 1.福建林业职业技术学院,福建 南平 353000;
    2.福建对外经济贸易职业技术学院,福州 350000
  • 收稿日期:2009-10-28 修回日期:2009-11-12 出版日期:2009-12-28 发布日期:2020-12-18
  • 作者简介:李宝银(1962-),男,福建长乐人,教授级高工,主要研究方向为森林资源管理与生态林经营。

Developing Regional Evaluation of Sapium sebiferum Based on Modified Projection Pursuit Technique

LI Baoyin1, ZHOU Junxin1, CHEN Baibi2   

  1. 1. Fujian Vocational and Technical Forestry College, Nanping 353000;
    2. Fujian Vocational and Technical College of International Economy and Trade,Fuzhou 350000,Fujian Province,China
  • Received:2009-10-28 Revised:2009-11-12 Online:2009-12-28 Published:2020-12-18

摘要: 应用改进的投影寻踪技术建立乌桕发展区域评价模型,可把多维分类指标综合成一维投影值。投影值越大,表示该区域乌桕发展潜力越大,因此,可以根据投影值的大小,对乌桕发展区域样本集进行合理区划。改进的投影寻踪技术用于乌桕发展区域分级与区划,投影寻踪效果理想,简单可行,可操作性强。通过由样本数据驱动的改进的投影寻踪技术,建立福建省乌桕发展区域评价模型,并结合聚类分析进行等级划分,区划出乌桕树种发展的中心区、适宜区和边缘区。

关键词: 改进单纯形法, 投影寻踪, 乌桕, 聚类分析

Abstract: This paper presented a modified simplex method (MSM) of project pursuit technique, and based on it, brought forword the developing regional evaluation model of Sapium sebiferum, which could integrate the multidimensional classification index into one-dimensional projection value, with high projection denoting high development potential value. Examples of developing regional Sample Set of Sapium sebiferum could be reasonably classified by the new model according to their projection value, the gradation and division of developing region of Sapium sebiferum could be used by the modified projection pursuit technique, which was simple and feasible, applicable, and maneuverable,greatly reducing the optimization time and making the value of projection function optimal. The developing regional evaluation model of Sapium sebiferum driven directly by sample data of Sapium sebiferum was built in this paper. it was more suitable that the grade of Sapium sebiferum was divided based on the cluster analysis. The central district, suitable area and marginal division of species development of Sapium sebiferum were divided.

Key words: modified simplex method, projection pursuit, Sapium sebiferum, cluster analysis

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