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首页> 外文期刊>Journal of Agricultural, Biological, and Environmental Statistics >Using a master sample to integrate stream monitoring programs.
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Using a master sample to integrate stream monitoring programs.

机译：使用主样本集成流监控程序。

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The need for aquatic resource condition surveys at scales that are too extensive to census has increased in recent years. Statistically designed sample surveys are intended to meet this need. Simple or stratified random sampling or systematic survey designs are often used to obtain a representative set of sites for data collection. However, such designs have limitations when applied to spatially distributed natural resources, like stream networks. Stevens and Olsen proposed a design that overcomes the key limitations of simple, stratified random or systematic designs by selecting a spatially balanced sample. The outcome of a spatially balanced sample is an ordered list of sampling locations with spatial distribution that balances the advantages of simple or stratified random samples or systematic samples. This approach can be used to select a sample of sites for particular studies to meet specific objectives. This approach can also be used to select a "master sample" from which subsamples can be drawn for particular needs. At the same time, these individual samples can be incorporated into a broader design that facilitates integrated monitoring and data sharing.
机译：近年来，对水生资源状况调查的规模过于庞大以至于无法进行普查。经过统计设计的样本调查旨在满足这一需求。通常使用简单或分层的随机抽样或系统的调查设计来获取代表性的站点集以进行数据收集。但是，这种设计在应用于空间分布的自然资源（例如流网络）时具有局限性。史蒂文斯（Stevens）和奥尔森（Olsen）提出了一种设计，该设计通过选择空间平衡的样本来克服简单，分层随机或系统设计的关键限制。空间平衡样本的结果是具有空间分布的样本位置的有序列表，该样本分布平衡了简单或分层随机样本或系统样本的优势。该方法可用于为特定研究选择场所样本，以满足特定目标。这种方法还可以用于选择“主样本”，从中可以提取子样本以满足特定需求。同时，这些单独的样本可以并入更广泛的设计中，以促进集成的监视和数据共享。

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