Comparer des méthodes

	Échantillonnage systématique basé sur le terrain	Échantillonnage aléatoire simple
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	Early 20th century; systematized by Cochran 1953/1977
Auteur d'origine	William G. Cochran (systematic sampling foundations); adapted to field contexts in ecological and agricultural survey literature	William Gosset, Jerzy Neyman, and formalized by William Cochran
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	SRS, unrestricted random sampling, equal-probability sampling, EPSEM
Apparentées	6	6
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.	Simple random sampling (SRS) is the foundational probability sampling method in which every unit in the population has an equal and independent chance of being selected. Because selection is governed purely by chance, SRS eliminates systematic bias, supports unbiased estimation of population parameters, and provides the statistical baseline against which all more complex probability designs are evaluated.