방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 전역 일반 크리깅× | 코크리깅: 다변량 지공간 보간법× | |
|---|---|---|
| 분야 | 공간분석 | 공간분석 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 1969 | 1965-1978 |
| 창시자≠ | Georges Matheron | Matheron, G.; extended by Journel & Huijbregts |
| 유형 | Geostatistical interpolation | Geostatistical interpolation |
| 원전 | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910608 | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561 |
| 별칭 | universal kriging (global), global UK, kriging with external drift (global), global trend kriging | cokriging, co-regionalization kriging, multivariate kriging, CK |
| 관련≠ | 4 | 5 |
| 요약≠ | Global Universal Kriging is a geostatistical interpolation method that models a spatially varying trend (drift) as a deterministic function of coordinates and uses the entire dataset to fit both the trend coefficients and the residual variogram simultaneously. It produces optimal linear unbiased predictions together with pointwise estimation uncertainty, accounting for a large-scale spatial gradient across the full study region. | 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. |
| ScholarGate데이터셋 ↗ |
|
|