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Scientia Silvae Sinicae ›› 2010, Vol. 46 ›› Issue (6): 71-77.doi: 10.11707/j.1001-7488.20100611

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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

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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