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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
引用本文:林芳芳,刘金福,路春燕,朱建平,陈远丽,洪伟. 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[J]. 福建农林大学学报(自然科学版), 2017, 0(6): 678-684. DOI: 10.13323/j.cnki.j.fafu(nat.sci.).2017.06.013
作者姓名:林芳芳  刘金福  路春燕  朱建平  陈远丽  洪伟
作者单位:;1.福建农林大学计算机与信息学院;2.生态与资源统计福建省高校重点实验室;3.福建省资源环境空间信息统计研究中心;4.厦门大学管理学院
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.

关 键 词:福建  闽侯丘陵区  农作物种植面积  空间抽样方法  遥感监测

Spatial sampling method for crop acreage based on remote sensing in hilly area in Minhou County,Fujian Province
Abstract: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 extrac-tion, population extrapolation and error estimation in crop acreage in Minhou County. The results showed that spatial stratified sam-pling had the highest sampling efficiency with 1500 m×1500 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.
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