방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 로버스트 공동 크리깅× | 로버스트 크리깅× | |
|---|---|---|
| 분야 | 공간분석 | 공간분석 |
| 계열 | Regression model | Regression model |
| 기원 연도≠ | 1993-1998 | 1980 |
| 창시자≠ | Cressie, N. A. C.; Genton, M. G. | Noel Cressie & Douglas M. Hawkins |
| 유형≠ | Robust spatial interpolation | Robust geostatistical interpolation |
| 원전≠ | Cressie, N. A. C. (1993). Statistics for Spatial Data (Revised ed.). John Wiley & Sons. Chapter 3 covers robust variogram estimation and co-kriging. ISBN: 978-0471002550 | Cressie, N., & Hawkins, D. M. (1980). Robust estimation of the variogram: I. Journal of the International Association for Mathematical Geology, 12(2), 115–125. DOI ↗ |
| 별칭 | robust cokriging, outlier-resistant co-kriging, robust multivariate kriging, RCK | robust spatial kriging, outlier-resistant kriging, resistant kriging, robust geostatistical interpolation |
| 관련≠ | 3 | 4 |
| 요약≠ | Robust Co-Kriging is a multivariate geostatistical interpolation method that jointly estimates values at unsampled locations using two or more spatially correlated variables, while applying robust estimators for the variogram and cross-variogram to limit the distorting influence of spatial outliers or non-Gaussian measurement errors. | Robust 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. |
| ScholarGate데이터셋 ↗ |
|
|