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林业科学 ›› 2010, Vol. 46 ›› Issue (6): 71-77.doi: 10.11707/j.1001-7488.20100611

• 论文 • 上一篇    下一篇

两阶段自适应群团抽样在沙漠边缘植被调查中的比较

朱光玉<sup>1,2</sup>,雷渊才<sup>1</sup>   

  1. 1.中国林业科学研究院资源信息研究所 北京 100091;2.中南林业科技大学林业遥感信息工程研究中心 长沙 410004
  • 收稿日期:2008-12-04 修回日期:2010-04-06 出版日期:2010-06-25 发布日期:2010-06-25

Comparison among Different Designs of Two-Stage Adaptive Cluster Sampling in Vegetation Survey in Desert Edge

Zhu Guangyu1,2;Lei Yuancai1   

  1. 1.<i>Institute of Forest Resources Information Techniques,CAFBeijing</i> 100091;2.<i>Research Center of Forestry Remote Sensing Information Engineering ,Central South University of Forestry and TechnologyChangsha</i> 410004
  • Received:2008-12-04 Revised:2010-04-06 Online:2010-06-25 Published:2010-06-25

摘要:

两阶段自适应群团抽样(two-stage ACS)是一种新兴自适应群团抽样(ACS)设计,它能在一定程度上解决自适应群团抽样最终样本量不确定的缺陷。概述两阶段自适应群团抽样方法的技术思路和原理。以实地调查的花棒数据为研究对象,进行4种两阶段自适应群团抽样方法的比较和分析,指出不跨越边界的基于Horvitz-Thompson估计量的两阶段自适应群团抽样的效果最佳。

关键词: 自适应群团抽样, 两阶段自适应群团抽样, Horvitz-Thompson估计量, Hansen-Hurwitz估计量

Abstract:

Two-stage ACS (adaptive cluster sampling) is an extended method of ACS,and it can to a certain degree control the final sample size of ACS.The procedure and principle of two-stage ACS are presented in this paper.Based on the survey data of <i>Hedysarum scoparium</i> in the western China,the simulation results of four different two-stage adaptive cluster samplings are compared and analyzed.It is showed that the Two-stage ACS,that is based on the modified Horvitz-Thompson estimator,is most effective,in which the clusters are not allowed to overlap primary unit.

Key words: adaptive cluster sampling, two-stage adaptive cluster sampling, Horvitz-Thompson estimator, Hansen-Hurwitz estimator