Regression modelGIS / spatial

Global Co-Kriging

Global Co-Kriging is a multivariate geostatistical interpolation method that estimates an unsampled primary variable by exploiting its spatial cross-correlation with one or more secondary variables. Unlike local (moving-window) approaches, it fits a single set of variogram and cross-variogram models to the entire study domain and solves one global cokriging system for each prediction location.

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Sources

  1. Myers, D. E. (1982). Matrix formulation of co-kriging. Journal of the International Association for Mathematical Geology, 14(3), 249–257. DOI: 10.1007/BF01032887
  2. Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 9780195115383

Related methods

ScholarGateGlobal Co-Kriging (Global Co-Kriging Spatial Interpolation). Retrieved 2026-06-04 from https://scholargate.app/en/spatial-analysis/global-co-kriging