ScholarGate
Asistents

Salīdzināt metodes

Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.

Globālā universālā kriginga metode×Lokālā universālā kriginga metode×
NozareTelpiskā analīzeTelpiskā analīze
SaimeRegression modelRegression model
Izcelsmes gads19691969/1997
AutorsGeorges MatheronMatheron, G. (trend/drift kriging); local neighborhood approach standard in geostatistical practice
TipsGeostatistical interpolationSpatial interpolation model
PirmavotsJournel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910608Goovaerts, P. (1997). Geostatistics for Natural Resources Evaluation. Oxford University Press. ISBN: 9780195115383
Citi nosaukumiuniversal kriging (global), global UK, kriging with external drift (global), global trend kriginglocal UK, local kriging with trend, local KED, local kriging with external drift
Saistītās45
KopsavilkumsGlobal 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.Local Universal Kriging is a geostatistical interpolation method that combines a spatially varying deterministic trend with a stochastic residual, estimated using only nearby observations within a defined search neighborhood. It generalizes local ordinary kriging by explicitly modeling and removing a polynomial or covariate-driven drift before interpolating the residual surface.
ScholarGateDatu kopa
  1. v1
  2. 2 Avoti
  3. PUBLISHED
  1. v1
  2. 2 Avoti
  3. PUBLISHED

Doties uz meklēšanu Lejupielādēt slaidus

ScholarGateSalīdzināt metodes: Global Universal Kriging · Local Universal Kriging. Izgūts 2026-06-19 no https://scholargate.app/lv/compare