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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 modelRegression model
提唱年19801950
提唱者Noel Cressie & Douglas M. HawkinsP. A. P. Moran (global measure, 1950); Roy Geary (Geary's C, 1954); Luc Anselin (LISA, 1995)
種類Robust geostatistical interpolationSpatial 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 interpolationspatial dependence, geographic autocorrelation, spatial clustering measure, SA
関連45
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.
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ScholarGate手法を比較: Robust Kriging · Spatial Autocorrelation. 2026-06-17に以下より取得 https://scholargate.app/ja/compare