Process / pipelineSampling
自适应整群抽样 — ACS
自适应整群抽样（Adaptive Cluster Sampling, ACS）是一种基于概率的设计，其中初始单位的随机抽样在满足预定条件（通常是稀有属性的阈值计数）时会触发邻近单位的纳入。ACS由Steven K. Thompson于1990年开发，对于估计稀有、空间聚集种群（如濒危物种、疾病热点或难以触及的社会群体）的丰度和分布特别有效。
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Method map
The neighbourhood of related methods — select a node to explore.
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来源
- Thompson, S. K. (1990). Adaptive cluster sampling. Journal of the American Statistical Association, 85(412), 1050–1059. DOI: 10.2307/2289601 ↗
- Thompson, S. K., & Seber, G. A. F. (1996). Adaptive Sampling. Wiley. ISBN: 978-0471558712
如何引用本页
ScholarGate. (2026, June 3). Adaptive Cluster Sampling. ScholarGate. https://scholargate.app/zh/survey-methodology/adaptive-cluster-sampling
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 自适应分层抽样调查方法论↔ compare
- 簇抽样调查方法论↔ compare
- 多阶段抽样调查方法论↔ compare
- 滚雪球抽样调查方法论↔ compare
- 分层抽样调查方法论↔ compare
- 系统抽样调查方法论↔ compare