ScholarGate
Ассистент

Сравнение методов

Просматривайте выбранные методы рядом; строки с различиями подсвечены.

Глобальный универсальный кригинг×Локальный универсальный кригинг×
ОбластьПространственный анализПространственный анализ
СемействоRegression modelRegression model
Год появления19691969/1997
Автор методаGeorges MatheronMatheron, G. (trend/drift kriging); local neighborhood approach standard in geostatistical practice
ТипGeostatistical interpolationSpatial interpolation model
Основополагающий источникJournel, 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
Другие названияuniversal kriging (global), global UK, kriging with external drift (global), global trend kriginglocal UK, local kriging with trend, local KED, local kriging with external drift
Связанные45
СводкаGlobal 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.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

Перейти к поиску Скачать слайды

ScholarGateСравнение методов: Global Universal Kriging · Local Universal Kriging. Получено 2026-06-19 из https://scholargate.app/ru/compare