Regression modelGIS / spatial

Global Kriging

Global Kriging is the ordinary kriging interpolation procedure applied using all available sample points as the neighborhood — no spatial search window limits which data contribute to each prediction. It produces optimal linear unbiased predictions of an unobserved value at any target location, with associated prediction-error variances, by exploiting a fitted variogram model that encodes spatial autocorrelation across the entire dataset.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550
  2. Isaaks, E. H., & Srivastava, R. M. (1989). An Introduction to Applied Geostatistics. Oxford University Press. ISBN: 978-0195050134

Related methods

ScholarGateGlobal Kriging (Global Kriging (Global-Neighborhood Ordinary Kriging)). Retrieved 2026-06-04 from https://scholargate.app/en/spatial-analysis/global-kriging