Spatial sampling method for crop acreage based on remote sensing in hilly area in Minhou County,Fujian Province
- 管理学院－已发表论文 
以福建闽侯县作为研究区,采用传统抽样(简单随机抽样、系统抽样、分层抽样); 、空间抽样(空间随机抽样、空间系统抽样、空间分层抽样)等方法对研究区农作物种植面积进行样本抽选、总体推算及误差估计,结果表明: 1 500; m*1 500; m格网为最优抽样单元尺寸,空间分层抽样方法的相对误差为3.86%,变异系数为6.03%,抽样成本为6.03,抽样效率高.与传统抽样方法相比,空间; 抽样方法显著减少样本容量,节约调查成本.Traditional sampling methods of simple random sampling,systematic; sampling,stratified sampling,and spatial sampling methods of spatial; random sampling,spatial system sampling and spatial stratified sampling; were applied to conduct sample extraction,population extrapolation and; error estimation in crop acreage in Minhou County. The results showed; that spatial stratified sampling had the highest sampling efficiency; with 1 500 m*1 500 m square grid as the optimal sampling unit size. And; relative error,variation coefficient and sampling cost was 3.86%,6.03%; and 6.03,respectively. Compared to traditional sampling method,spatial; sampling method significantly reduced sampling size and saved cost.