Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Échantillonnage systématique basé sur le terrain× | Échantillonnage systématique× | |
|---|---|---|
| Domaine | Méthodologie d'enquête | Méthodologie d'enquête |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1940s–1950s (systematic sampling foundations); field adaptations consolidated by 1970s | Mid-20th century (Cochran 1953; Kish 1965) |
| Auteur d'origine≠ | William G. Cochran (systematic sampling foundations); adapted to field contexts in ecological and agricultural survey literature | William G. Cochran; formalized in survey sampling theory |
| Type | Probability sampling design | Probability sampling design |
| Source fondatrice | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 | Cochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407 |
| Alias≠ | systematic field sampling, grid-based field sampling, regular interval field sampling | interval sampling, systematic random sampling, equal-interval sampling, fixed-interval sampling |
| Apparentées≠ | 6 | 5 |
| Résumé≠ | 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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