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空间分异异质性×系统抽样×
领域抽样调查方法论
方法族Process / pipelineProcess / pipeline
起源年份2010Mid-20th century (Cochran 1953; Kish 1965)
提出者Jinfeng WangWilliam G. Cochran; formalized in survey sampling theory
类型Geographical detection and stratification methodProbability sampling design
开创性文献Wang, J. F., Li, X. H., Christakos, G., Liao, Y. L., Zhang, T., & Gu, X. (2010). Geographical detectors–based health risk assessment and its application in the neural tube defects study for the C–H plane. International Journal of Geographical Information Science, 24(1), 107–127. DOI ↗Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407
别名Geodetector, GeoDetectorinterval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling
相关35
摘要Spatial Stratified Heterogeneity, commonly known as Geodetector, is a framework introduced by Jinfeng Wang and colleagues in 2010 for measuring and detecting spatial heterogeneity in data and identifying environmental risk factors. It quantifies the degree to which a given factor (variable) explains spatial variation in an outcome and is particularly valuable for environmental epidemiology, ecology, and geographical analysis where spatial non-stationarity is common.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: Spatial Stratified Heterogeneity · Systematic Sampling. 于 2026-06-17 检索自 https://scholargate.app/zh/compare