Method evidence record
Adaptive Stratified Sampling
Adaptive stratified sampling divides the population into strata and then applies an adaptive rule within each stratum: whenever an initially selected unit satisfies a pre-specified condition (e.g., a rare species is found, a variable exceeds a threshold), neighboring or related units are added to the sample. This combines the variance-reduction power of stratification with the ability to concentrate sampling effort where the phenomenon of interest is actually present.
Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.
Source record
Recorded
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
Adaptive Stratified Sampling
Taxonomic method recordprocess-pipelinesurvey-methodology
Thompson, S. K. (2002). Sampling (2nd ed.). Wiley-Interscience. · ISBN 978-0471360100
Open full method2 recorded citations, copied from the method source record.
Curated claims
Assessed
Claims persisted in the evidence ledger, each with its own assessment.
No curated claims yet
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Related methods
Suggested6
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
- Taxonomic bucketAdaptive Cluster Sampling
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketDisproportional Stratified Sampling
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketMultistage Sampling
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketProportional Stratified Sampling
machine-suggestedRelational suggestion, not evidence.
- Same method familyStratified Sampling
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketSystematic Sampling
machine-suggestedRelational suggestion, not evidence.