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Space-Time Kriging/Evidence
Method evidence record

Space-Time Kriging

Space-Time Kriging is a geostatistical interpolation method that predicts an unknown variable at any location and time by borrowing strength from nearby observations in both space and time simultaneously. It models the joint spatial-temporal covariance structure through a space-time variogram, then uses optimal linear weights to produce predictions with quantified uncertainty.

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Source record

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

Space-Time Kriging
Taxonomic method record · regression-model / spatial-analysis
  • Cressie, N., & Huang, H.-C. (1999). Classes of nonseparable, spatio-temporal stationary covariance functions. Journal of the American Statistical Association, 94(448), 1330-1340. · DOI 10.1080/01621459.1999.10473885
  • Kyriakidis, P. C., & Journel, A. G. (1999). Geostatistical space-time models: A review. Mathematical Geology, 31(6), 651-684. · DOI 10.1023/A:1007528426688
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Curated claims

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

No curated claims yet

This view does not invent a claim assessment when the ledger has none.

Related methods

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

Taxonomic bucketCo-krigingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketOrdinary Krigingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSpace-Time Spatial Autocorrelationmachine-suggested · Relational suggestion, not evidence.Same method familyUniversal Krigingmachine-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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