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Échantillonnage systématique basé sur le terrain×Échantillonnage stratifié×
DomaineMéthodologie d'enquêteMéthodologie d'enquête
FamilleProcess / pipelineProcess / pipeline
Année d'origine1940s–1950s (systematic sampling foundations); field adaptations consolidated by 1970s1977
Auteur d'origineWilliam G. Cochran (systematic sampling foundations); adapted to field contexts in ecological and agricultural survey literatureWilliam G. Cochran
TypeProbability sampling designProbability-based survey sampling design
Source fondatriceCochran, W. G. (1977). Sampling Techniques (3rd ed.). John Wiley & Sons. ISBN: 978-0471162407Cochran, W. G. (1977). Sampling Techniques (3rd ed.). Wiley. ISBN: 978-0-471-16240-7
Aliassystematic field sampling, grid-based field sampling, regular interval field samplingProportional Stratified Sampling, Optimal Allocation Sampling, Stratum-Based Sampling, Tabakalı Örnekleme
Apparentées62
RésuméField-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.Stratified sampling is a probability sampling design in which the target population is partitioned into non-overlapping, exhaustive subgroups called strata, and independent probability samples are drawn within each stratum. Formalized by William G. Cochran in Sampling Techniques (1977), the method exploits known population structure to reduce variance and guarantee representativeness of all major subgroups, making it a cornerstone of large-scale survey research and official statistics.
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ScholarGateComparer des méthodes: Field-based systematic sampling · Stratified Sampling. Consulté le 2026-06-15 sur https://scholargate.app/fr/compare