方法对比
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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 / pipeline | Process / pipeline |
| 起源年份≠ | 2010 | Mid-20th century (Cochran 1953; Kish 1965) |
| 提出者≠ | Jinfeng Wang | William G. Cochran; formalized in survey sampling theory |
| 类型≠ | Geographical detection and stratification method | Probability 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, GeoDetector | interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling |
| 相关≠ | 3 | 5 |
| 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. |
| ScholarGate数据集 ↗ |
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