Cokriging
Cokriging extends kriging to use one or more correlated secondary variables to improve prediction of a primary variable. When the variable of interest is sparsely sampled but a related, cheaper-to-measure variable is densely sampled, cokriging borrows strength from the secondary variable through their cross-correlation, yielding more accurate interpolations and prediction variances than kriging the primary variable alone.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. · DOI 10.2113/gsecongeo.58.8.1246
- Cressie, N. A. C. (1993). Statistics for Spatial Data (Revised ed.). John Wiley & Sons. · ISBN 978-0-471-00255-0
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
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.