Regression modelGIS / spatial
Global Universal Kriging
Global Universal Kriging is a geostatistical interpolation method that models a spatially varying trend (drift) as a deterministic function of coordinates and uses the entire dataset to fit both the trend coefficients and the residual variogram simultaneously. It produces optimal linear unbiased predictions together with pointwise estimation uncertainty, accounting for a large-scale spatial gradient across the full study region.
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Sources
- Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910608
- Chiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley, New York. ISBN: 978-0471083153