首页 | 本学科首页   官方微博 | 高级检索  
     

基于GIS和模糊物元贴近度聚类分析模型的耕地质量评价
引用本文:聂艳,周勇,于婧,梁本望,罗代平. 基于GIS和模糊物元贴近度聚类分析模型的耕地质量评价[J]. 土壤学报, 2005, 42(4): 551-557
作者姓名:聂艳  周勇  于婧  梁本望  罗代平
作者单位:1. 华中农业大学资源环境学院,武汉,430070
2. 湖北省宜都市国土资源局,湖北,宜都,443000
基金项目:国家自然科学基金(批准号:40271056),中德农业科技合作2004/2005项目计划(No.48)项目资助
摘    要:利用ArcGIS和模糊物元贴近度聚类分析模型,以原始数据为基础,对湖北省宜都市耕地质量进行了评价。(1)采用主成分分析法确定耕地质量影响因素;(2)利用ArcGIS矢量化提取相关图层并进行相应的空间分析后,采用多图层叠加确定评价单元和获取单元属性数据;(3)根据各评价因子的隶属函数,应用模糊物元贴近度聚类分析模型计算评价因子的权系数和评价单元的贴近度,经过聚类分析划分耕地质量级别,并进行抽样检验结果的准确性。结果表明:宜都市耕地质量中等,I至VI级地分别占12·96%、30·37%、31·71%、16·16%、7·14%和1·66%。经实地检验评价结果基本与实际情况相符。

关 键 词:GIS  模糊物元贴近度聚类  质量  耕地
收稿时间:2004-06-18
修稿时间:2004-09-12

FARMLAND QUALITY EVALUATION BASED ON GIS AND FUZZY MATTER-ELEMENT PROXIMITY CLUSTER ANALYSIS MODEL
Nie Yan,Zhou Yong,Yu Jing,Liang Benwang and Luo Daiping. FARMLAND QUALITY EVALUATION BASED ON GIS AND FUZZY MATTER-ELEMENT PROXIMITY CLUSTER ANALYSIS MODEL[J]. Acta Pedologica Sinica, 2005, 42(4): 551-557
Authors:Nie Yan  Zhou Yong  Yu Jing  Liang Benwang  Luo Daiping
Affiliation:Nie Yan~1 Zhou Yong~1 Yu Jing~1 Liang Benwang~2 Luo Daiping~2[WT]
Abstract:With the original data as basis, the cultivated land quality in Yidu County, Hubei Province was evaluated with the aid of GIS and the fuzzy matter-element proximity cluster analysis model. The procedure of the evaluation goes: (1)Use the principal component analysis method to determine factors affecting cultivated land quality; (2)Extract correlatographs with the aid of ArcGIS vectorization, put them under spatial analysis and use the multi-map superimposition method to define evaluation units and extract unit attribute data; (3)Based on membership functions of the evaluation factors, calculate weight coefficients of the evaluation factors and proximity of the evaluation units with the fuzzy matter-element proximity cluster analysis model, and sort the cultivated lands into various quality levels. At the same time, 120 samples were collected randomly to verify veracity of the results. The results indicate that the cultivated land in this area is medium in quality and can sorted into 6 levels, accounting for 12.96%, 30.37%, 31.71%, 16.16%, 7.14% and 1.66%, respectively, which is roughly in accord with the actual situation.
Keywords:GIS  The fuzzy matter-element proximity cluster  Quality  Cultivated land
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《土壤学报》浏览原始摘要信息
点击此处可从《土壤学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号