中国高等学校学术文摘·林学2009,Vol.4Issue(4) :424-431.DOI:10.1007/s11461-009-0068-5

Forestry division method at county level based on GIS with integrated modeling

Chao ZHANG Qinglin HUANG Xiaohong ZHANG Nianwang TU
中国高等学校学术文摘·林学2009,Vol.4Issue(4) :424-431.DOI:10.1007/s11461-009-0068-5

Forestry division method at county level based on GIS with integrated modeling

Chao ZHANG 1Qinglin HUANG 1Xiaohong ZHANG 1Nianwang TU2
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作者信息

  • 1. Institute of Forest Resource Information Techniques, CAF;Key Laboratory of Forestry Remote Sensing and Information Technology,State Forestry Administration, Beijing 100091, China
  • 2. Yongpan Forestry Bureau,Fujian Province,Yongpan 366000,China
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Abstract

Forestry division has been discussed rarely since 1995 in China. The growing interest in forestry provides an opportunity to improve the research tools and approaches that can help achieve a broader understanding of forestry division. Based on research in Yong'an, Fujian Province of China, a framework that may be useful in correlative forestry division study was proposed: 1) the factor-system for Yong'an forestry division was established; 2) the factors were extracted with spatial analysis; 3) the forestry division method of integrated modeling at county level based on GIS was processed. The method was taken through principal components analysis, building the comprehensive model, discriminate analysis, seeking the ideal number of divisions and eliminating the fine polygons. The outcome showed that the method based on GIS with comprehensive modeling could reflect the present situation of forestry development. The relative dominant subdivisions were distinguished reasonably, and a specific direction in forestry development is presented. According to the statistics of the subdivisions' state, the relative dominant subdivisions were clearly demonstrated.

Key words

GIS/forestry division/county level/PCA/discriminate analysis

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基金项目

948 Project of the State Forestry Administration of China(2006-4-23)

出版年

2009
中国高等学校学术文摘·林学
高等教育出版社

中国高等学校学术文摘·林学

ISSN:1673-3517
参考文献量5
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