ScholarGate
Ассистент

Сравнение методов

Просматривайте выбранные методы рядом; строки с различиями подсвечены.

Robust Co-Kriging×Робастное кригинг×
ОбластьПространственный анализПространственный анализ
СемействоRegression modelRegression model
Год появления1993-19981980
Автор методаCressie, N. A. C.; Genton, M. G.Noel Cressie & Douglas M. Hawkins
ТипRobust spatial interpolationRobust geostatistical interpolation
Основополагающий источникCressie, N. A. C. (1993). Statistics for Spatial Data (Revised ed.). John Wiley & Sons. Chapter 3 covers robust variogram estimation and co-kriging. ISBN: 978-0471002550Cressie, N., & Hawkins, D. M. (1980). Robust estimation of the variogram: I. Journal of the International Association for Mathematical Geology, 12(2), 115–125. DOI ↗
Другие названияrobust cokriging, outlier-resistant co-kriging, robust multivariate kriging, RCKrobust spatial kriging, outlier-resistant kriging, resistant kriging, robust geostatistical interpolation
Связанные34
СводкаRobust Co-Kriging is a multivariate geostatistical interpolation method that jointly estimates values at unsampled locations using two or more spatially correlated variables, while applying robust estimators for the variogram and cross-variogram to limit the distorting influence of spatial outliers or non-Gaussian measurement errors.Robust Kriging is a geostatistical interpolation method that extends classical kriging by replacing sensitive variogram estimation with outlier-resistant alternatives, most notably the Cressie-Hawkins robust estimator. It produces spatially interpolated predictions that are not distorted by anomalous or extreme observations in the data.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

Перейти к поиску Скачать слайды

ScholarGateСравнение методов: Robust Co-Kriging · Robust Kriging. Получено 2026-06-17 из https://scholargate.app/ru/compare