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| ロバストクリギング× | 空間的自己相関× | |
|---|---|---|
| 分野 | 空間分析 | 空間分析 |
| 系統 | Regression model | Regression model |
| 提唱年≠ | 1980 | 1950 |
| 提唱者≠ | Noel Cressie & Douglas M. Hawkins | P. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995) |
| 種類≠ | Robust geostatistical interpolation | Spatial statistic / exploratory spatial data analysis |
| 原典≠ | 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 ↗ | Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1/2), 17–23. DOI ↗ |
| 別名 | robust spatial kriging, outlier-resistant kriging, resistant kriging, robust geostatistical interpolation | spatial dependence, geographic autocorrelation, spatial clustering measure, SA |
| 関連≠ | 4 | 5 |
| 概要≠ | 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. | Spatial autocorrelation quantifies the degree to which a variable's values at nearby locations resemble each other more (positive autocorrelation) or less (negative autocorrelation) than expected by chance. Global indices such as Moran's I summarise the pattern across the entire study area, while local variants reveal clusters and outliers at the level of individual observations. |
| ScholarGateデータセット ↗ |
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