基于空间数据仓库的农作物估产研究  

Research of Crop Yield Estimation Based on Spatial Data Warehouse

作　　者：李宏丽[1] 彭沛全[2] 方立刚[1] 

机构地区：[1]中国科学院广州地球化学研究所,广州510640 [2]广州地理研究所,广州510070

出　　处：《农机化研究》2007年第3期162-164,167,共4页Journal of Agricultural Mechanization Research

摘　　要：农作物估产是我国长期以来进行的一项重要课题。为此,探讨了空间数据仓库的特征、体系结构,对现有农作物估产方法进行了评价。鉴于农作物估产的影响因素的复杂性,引入空间数据仓库技术,并且建立了多维数据模型,来进行农作物估产的研究,为农业决策部门提供参考依据。During the past years, crop yield estimation has gained increasing concerns within scientific literature of china. The paper inquired into the characteristic, system architecture of spatial data warehouse and valued crop yield estimation methods we have now. Since many factors influence agricultural estimating, a trial is suggested to apply spatial data warehouse technology in the research of crop yield estimation and modal of multi-dimensions were built. Thus agricultural decision-making department can obtain reference.

关 键 词：计算机应用 空间数据仓库 应用 农作物估产 多维数据模型 OLAP 

分 类 号：TP392[自动化与计算机技术—计算机应用技术]