Regression modelGIS / spatial

Robust Kriging

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.

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Sources

  1. 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: 10.1007/BF01035243
  2. Cressie, N. A. C. (1993). Statistics for Spatial Data (Revised ed.). Wiley-Interscience. ISBN: 978-0471002550

Related methods

Referenced by

ScholarGateRobust Kriging (Robust Kriging Spatial Interpolation). Retrieved 2026-06-04 from https://scholargate.app/tr/spatial-analysis/robust-kriging