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方法族Process / pipelineProcess / pipeline
起源年份1940s–1950s (systematic sampling foundations); field adaptations consolidated by 1970sMid-20th century (Cochran 1953; Kish 1965)
提出者William G. Cochran (systematic sampling foundations); adapted to field contexts in ecological and agricultural survey literatureWilliam G. Cochran; formalized in survey sampling theory
类型Probability sampling designProbability sampling design
开创性文献Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
别名systematic field sampling, grid-based field sampling, regular interval field samplinginterval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
相关65
摘要Field-based systematic sampling applies systematic (regular-interval) selection to real-world field environments — plots of land, transects, geographic grids, or physical survey routes. A random starting point is chosen, then every k-th unit or location is sampled at equal spatial or sequential intervals. Widely used in ecology, agriculture, environmental science, and field surveys, it delivers spatially even coverage at low operational cost while maintaining probability-sampling properties.Systematic sampling is a probability sampling technique in which every k-th element is selected from an ordered list of the population after a random starting point. With population size N and desired sample size n, the sampling interval k = N/n is computed and one unit is chosen at random from the first interval; all subsequent units are selected by adding k repeatedly. The method is operationally simple, yields a spread-out sample, and often achieves lower variance than simple random sampling when the list has no harmful periodicity.
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ScholarGate方法对比: Field-based systematic sampling · Systematic Sampling. 于 2026-06-15 检索自 https://scholargate.app/zh/compare