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基于GIS建模技术的县级林业区划方法研究
引用本文:张超,黄清麟,张晓红,涂年旺.基于GIS建模技术的县级林业区划方法研究[J].林业科学研究,2008,21(4):429-435.
作者姓名:张超  黄清麟  张晓红  涂年旺
作者单位:1. 中国林业科学研究院资源信息研究所,国家林业局林业遥感与信息技术重点实验室,北京,100091
2. 福建省永安市林业局,福建,永安,366000
基金项目:引进国际先进农业科技计划(948计划)
摘    要:提出了基于GIS的县级林业区划方法框架;建立了永安市林业区划因素体系,并运用空间分析方法对各因子进行了提取;探讨了基于GIS建模技术的县级林业区划方法.通过主成分分析、建立综合模型、判别分析、确定合理分区个数和清除细小多边形等过程,最终得到的区划结果能够将各相对优势区域合理分开,分区林业生产状况统计数据能较清晰地反映各分区的资源状况和相对优势,林业建设发展方向较为明确.

关 键 词:地理信息系统  林业区划  县级  主成分分析  判别分析
收稿时间:2007/10/25 0:00:00

Study on Forestry Division Method at County Level Based on GIS with Integrated Modeling
ZHANG Chao,HUANG Qing-lin,ZHANG Xiao-hong and TU Nian-wang.Study on Forestry Division Method at County Level Based on GIS with Integrated Modeling[J].Forest Research,2008,21(4):429-435.
Authors:ZHANG Chao  HUANG Qing-lin  ZHANG Xiao-hong and TU Nian-wang
Abstract:Forestry division has been discussed rarely since 1995 in China. The growing interest in forestry p rovidesan opportunity to imp rove the research tools and app roaches that can help achieve a broad understanding of forestrydivision. Based on the research in Yongpan, Fujian Province of China, a framework thatmay be useful in correlativeforestry division studywas put forward: (1) The factor-system of Yongpan forestry division was established; (2) Thefactorswere extracted with the spatial analysis; (3) The forestry division method of integrated modeling at countylevel based on GIS was p rocessed. The method was taken through Principal Components Analysis, building theintegrated model, Discriminate Analysis, seeking the ideal number of divisions and eliminating the scrappypolygons. The outcome showed that the method based on GIS with integrated modeling can reflect the p resentsituation of the forestry development. The relative dominant subdivisions were distinguished reasonably, and aspecific direction in forestry developmentwas given. According to the statistics of the subdivisionspstate, the relativedominant subdivisions were showed obviously.
Keywords:GIS  forest division  county level  PCA  Discriminate Analysis
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