龙海市县域农用地整理规划  

County-level Farmland Reconsolidation Planning in Longhai City

作　　者：杨志荣[1] 吴次芳[1] 叶艳妹[1] 

机构地区：[1]浙江大学土地科学与不动产研究所,浙江杭州310029

出　　处：《中国土地科学》2011年第3期58-62,76,F0003,共7页China Land Science

基　　金：国家科技支撑项目"基本农用优质精细型土地整理技术研究"(2008BAB38B05B)

摘　　要：研究目的:基于农用地质量以及自组织映射神经网络空间聚类模型,研究县域农用地整理规划。研究方法:主成分分析法,自组织映射神经网络空间聚类模型。研究结果:(1)规划近期农用地整理重点应放在农用地质量等级较好的Ⅱ级与Ⅲ级区域,主要分布于角美、海澄、东园等乡镇;(2)规划中期则以农用地质量Ⅳ级区域为主要整理区,分布于白水、东泗、浮宫等乡镇;(3)规划远期以质量等级差的Ⅴ级农用地为规划区域,分布于港尾、隆教、程溪等乡镇的丘陵山地区。研究结论:基于农用地质量PCA主因子和自组织映射神经网络空间聚类模型的农用地规划能客观反映农用地质量的区域差异性,对县域农用地整理规划、精细型基本农田整理规划以及整理重点项目立项等工作均有借鉴意义。The purpose of this paper is to study the design of county-level farmland reconsolidation planning based on farmland quality and SOM spatial clustering model. Methods employed are principal component analysis and SOM spatial clustering model. The results indicate that （ 1 ） the recent farmland reconsolidation planning should focus on the reconsolidation of Class II and Class III areas with relatively higher farmland qualities, and located in Jiaomei, Haieheng and Dongyuan towns; （2） the mid-term planning should focus on the reeonsolidation of Class IV areas, which are located in the towns of Baishui, Dongsi and Fugong; （3） the long-term planning should focus on Class V areas with lowest farmland qualities, which are located in the hilly areas of towns like Gangwei, Longjiao and Chengxi. The paper concludes that the farmland planning method based on PCA main factors analysis and the SOM spatial clustering model can objectively reflect the regional differences of farmland qualities, which is valuable for the county-level farmland reconsolidation planning, the detailed farmland reconsolidation primary planning, and the choosing of important reconsolidation projects.

关 键 词：土地规划 农用地整理规划 SOM模型 主成分分析 农用地质量 

分 类 号：F301.2[经济管理—产业经济]