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Spatial Bootstrap Simulation/Evidence
Method evidence record

Spatial Bootstrap Simulation

Spatial bootstrap simulation is a resampling technique designed for spatially dependent data. By resampling contiguous spatial blocks rather than independent observations, it preserves the local autocorrelation structure of the data and yields valid estimates of sampling variability for statistics computed on geographic or lattice observations.

Sources recorded, not reviewed

Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Spatial Bootstrap Simulation
Taxonomic method record · bayesian / bayesian
  • Lahiri, S. N. (2003). Resampling Methods for Dependent Data. Springer. · ISBN 978-0387009285
  • Efron, B. & Tibshirani, R. J. (1993). An Introduction to the Bootstrap. Chapman & Hall/CRC. · ISBN 978-0412042317
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

No curated claims yet

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketKalman Filtermachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSequential Monte Carlomachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial Bayesian Inferencemachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpatial MCMCmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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