山东农业大学学报（自然科学版）Issue(4)：568-575,8.DOI:10.3969/j.issn.1000-2324.2014.04.016
基于主成分分析和模糊聚类方法的主体功能分区
Major Function Oriented Zoning Based on Principal Components Analysis and Method of Fuzzy-C-means
摘要
Abstract
Major function oriented zoning (MFOZ) is one of the effective ways to coordinate current rapid economic development and resources and environmental protection, and is the guideline for optimizing the spatial pattern of regional development .Taking Lulong County in Jidong mountainous and hilly region as an example , this paper buit index system from importance of eco-environment , support of social economy and Land use strength. This paper classified MFOZ using the method of principal components analysis and fuzzy clustering means. Optimization development zone is Lulong, Shimen, which has the area of 20122 ha; important development zone is Litiangezhuang,which has an area of 11094.93 ha;lmit development zone is Xazai, Shuangwang, Mujing, Habo, Panzhuang, Yinzhuang, which has an area of 40006.11 ha;development-prohibited zone is Liujiaying, Yanheying, Chenguantun, which has the area of 24359.25 ha. Evaluation results show that the method is scientific, proper and accords with the actual conditions. The method of principal components analysis and fuzzy clustering means broadened the method of classifying MFOZ, which has important value and innovation significance for the implement of MFOZ.关键词
主成分分析和模糊聚类/分区指标/主体功能分区Key words
Principal components analysis and fuzzy clustering means/zoning indicators/major function oriented zoning分类
管理科学引用本文复制引用
王晓,张利,陈亚恒..基于主成分分析和模糊聚类方法的主体功能分区[J].山东农业大学学报（自然科学版）,2014,(4):568-575,8.基金项目
河北省高等学校科学技术研究优秀青年基金项目(Y2012015) （Y2012015）
河北省自然科学基金项目(D2010000795) （D2010000795）
