基于遥感的福建闽侯丘陵区农作物种植面积空间抽样方法

发布时间：2018-08-21 11:29

【摘要】：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.
[Abstract]:Taking Minhou County, Fujian Province as the research area, traditional sampling (simple random sampling, systematic sampling, stratified sampling), spatial sampling (spatial random sampling, spatial system sampling), Spatial stratified sampling and other methods were used to sample the crop planting area in the study area, and the total calculation and error estimation were made. The results showed that 1 500 m 脳 1 500 m grid was the optimal size of sampling unit. The relative error of spatial stratified sampling is 3.86, the coefficient of variation is 6.03, the cost of sampling is 6.03, and the sampling efficiency is high. Compared with the traditional sampling method, the spatial sampling method significantly reduces the sample size and saves the investigation cost.
【作者单位】：福建农林大学计算机与信息学院;生态与资源统计福建省高校重点实验室;福建省资源环境空间信息统计研究中心;厦门大学管理学院;
【基金】：全国统计科学研究项目(2015LZ18)
【分类号】：S127

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