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Kriging Teguh×Co-kriging: Interpolasi Geostatistik Multivariat×
BidangAnalisis ReruangAnalisis Reruang
KeluargaRegression modelRegression model
Tahun asal19801965-1978
PengasasNoel Cressie & Douglas M. HawkinsMatheron, G.; extended by Journel & Huijbregts
JenisRobust geostatistical interpolationGeostatistical interpolation
Sumber perintisCressie, N., & Hawkins, D. M. (1980). Robust estimation of the variogram: I. Journal of the International Association for Mathematical Geology, 12(2), 115–125. DOI ↗Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561
Aliasrobust spatial kriging, outlier-resistant kriging, resistant kriging, robust geostatistical interpolationcokriging, co-regionalization kriging, multivariate kriging, CK
Berkaitan45
RingkasanRobust Kriging is a geostatistical interpolation method that extends classical kriging by replacing sensitive variogram estimation with outlier-resistant alternatives, most notably the Cressie-Hawkins robust estimator. It produces spatially interpolated predictions that are not distorted by anomalous or extreme observations in the data.Co-kriging is a geostatistical interpolation technique that predicts the spatial distribution of a primary variable by leveraging its spatial cross-correlation with one or more secondary (co-) variables. It extends ordinary kriging to multivariate settings, yielding more accurate predictions when the secondary variable is more densely sampled or spatially correlated with the primary variable of interest.
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ScholarGateBandingkan kaedah: Robust Kriging · Co-kriging. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare