摘要
农用地定级因素作用分值量化直接影响了土地级别评价精度及实用性。该文利用GIS网络分析和图形与属性数据处理功能,以河北省青县农用地定级为例,提出了通过网络分析计算农用地定级单元与定级因素实体间距离,对区位因素、耕作便利条件作用分值进行量化,并相应计算农用地定级指数和划分农用地级别。结果表明,网络分析方法能够较为真实地模拟评价单元与农用地定级因子间实际距离,使农用地定级结果比传统方法更精确,更符合实际,更能反映农用地间生产力水平差异。
Affecting score of factors works on the precision and availability of farmland grading directly.This paper advanced network analysis to calculate the distance between farmland grading cell and factor,to quantify location factor and convenience condition of cultivation,calculate farmland grading index and determine the farmland grade,taking Qingxian of Hebei province as an example.It shows that network analysis can almost stimulate the real distance between assessment cell and factors,which improves the accuracy of result of farmland grading and accordance with the reality, and reflects the diversity of farmland productivity better.
出处
《农业工程学报》
EI
CAS
CSCD
北大核心
2008年第S1期66-69,共4页
Transactions of the Chinese Society of Agricultural Engineering
基金
"十一五"国家科技支撑项目(2006BAB15B06)不同功能区土地资源安全保障与控制系统研制
关键词
农用地定级
网络分析
因素作用分值
farmland grading
network analysis
affecting score of factors
