ScholarGate
アシスタント

手法を比較

選択した手法を並べて確認できます。異なる行はハイライト表示されます。

局所的普遍クレージング×共同クルギング:多変量地球統計学的手法による補間×
分野空間分析空間分析
系統Regression modelRegression model
提唱年1969/19971965-1978
提唱者Matheron, G. (trend/drift kriging); local neighborhood approach standard in geostatistical practiceMatheron, G.; extended by Journel & Huijbregts
種類Spatial interpolation modelGeostatistical interpolation
原典Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 9780195115383Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561
別名local UK, local kriging with trend, local KED, local kriging with external driftcokriging, co-regionalization kriging, multivariate kriging, CK
関連55
概要Local Universal Kriging is a geostatistical interpolation method that combines a spatially varying deterministic trend with a stochastic residual, estimated using only nearby observations within a defined search neighborhood. It generalizes local ordinary kriging by explicitly modeling and removing a polynomial or covariate-driven drift before interpolating the residual surface.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.
ScholarGateデータセット
  1. v1
  2. 2 出典
  3. PUBLISHED
  1. v1
  2. 2 出典
  3. PUBLISHED

検索へ スライドをダウンロード

ScholarGate手法を比較: Local Universal Kriging · Co-kriging. 2026-06-18に以下より取得 https://scholargate.app/ja/compare