Fuzzy cluster based on nature geographic regionalization of forest

LIU Yi; SHE Guang-hui; LIU An-xing; ZHANG Guo-jiang

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Volume 25 Issue 4

Aug. 2008

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Article Navigation > Journal of Zhejiang A&F University > 2008 > 25(4): 422-426

LIU Yi, SHE Guang-hui, LIU An-xing, ZHANG Guo-jiang. Fuzzy cluster based on nature geographic regionalization of forest[J]. Journal of Zhejiang A&F University, 2008, 25(4): 422-426.

Citation:

LIU Yi, SHE Guang-hui, LIU An-xing, ZHANG Guo-jiang. Fuzzy cluster based on nature geographic regionalization of forest[J]. Journal of Zhejiang A&F University, 2008, 25(4): 422-426.

Fuzzy cluster based on nature geographic regionalization of forest

1.
College of Forest Resources and Environment，Nanjing Forestry University，Nanjing 210037，Jiangsu，China;
2.
Academy of Forest Inventory and Planning，State Forestry Administration，Beijing 100714，China;
3.
Zhejiang Monitoring Center of Forest Resources，Hangzhou 310020，Zhejiang，ChinaState Forestry Administration，Beijing 100714，China

Publish Date: 2008-08-20

Abstract

According to related regionalization principles，this research selected four indices including the area of forest land，shrubbery，non-stocked land and non-forestry land. Based on the principle of fuzzy cluster analysis，67 counties in Zhejiang Province were clustered into 5 groups. The results basically accorded with the actual condition. The results indicated that it was feasible to regionalize by fuzzy cluster. And other data were added to accomplish some more complicated regionalization. The regionalization results were meaningful for governments to make decision and manage the nature resource when it was partitioned by administrative unit. ［Ch，1 tab. 17 ref.］
- forest management,
- regionalization,
- fuzzy cluster,
- forest data,
- Zhejiang Province

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Fuzzy cluster based on nature geographic regionalization of forest

1. College of Forest Resources and Environment，Nanjing Forestry University，Nanjing 210037，Jiangsu，China;

2. Academy of Forest Inventory and Planning，State Forestry Administration，Beijing 100714，China;

3. Zhejiang Monitoring Center of Forest Resources，Hangzhou 310020，Zhejiang，ChinaState Forestry Administration，Beijing 100714，China

Publish Date: 2008-08-20

Key words:

Abstract: According to related regionalization principles，this research selected four indices including the area of forest land，shrubbery，non-stocked land and non-forestry land. Based on the principle of fuzzy cluster analysis，67 counties in Zhejiang Province were clustered into 5 groups. The results basically accorded with the actual condition. The results indicated that it was feasible to regionalize by fuzzy cluster. And other data were added to accomplish some more complicated regionalization. The regionalization results were meaningful for governments to make decision and manage the nature resource when it was partitioned by administrative unit. ［Ch，1 tab. 17 ref.］

LIU Yi, SHE Guang-hui, LIU An-xing, ZHANG Guo-jiang. Fuzzy cluster based on nature geographic regionalization of forest[J]. Journal of Zhejiang A&F University, 2008, 25(4): 422-426.

Citation:

LIU Yi, SHE Guang-hui, LIU An-xing, ZHANG Guo-jiang. Fuzzy cluster based on nature geographic regionalization of forest[J]. Journal of Zhejiang A&F University, 2008, 25(4): 422-426.

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