ScholarGate
Pembantu

Bandingkan kaedah

Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.

Robust Universal Kriging×Kriging Universal (Kriging dengan Trend)×
BidangAnalisis ReruangAnalisis Reruang
KeluargaRegression modelRegression model
Tahun asal1980s–1990s1969
PengasasDeveloped through contributions of Cressie, Genton, and Rousseeuw in geostatistics and robust statisticsGeorges Matheron
JenisSpatial interpolation modelGeostatistical interpolation with spatial trend
Sumber perintisCressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience, New York. ISBN: 978-0471002550Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗
AliasRUK, robust kriging with external drift, outlier-resistant universal kriging, robust geostatistical regression krigingkriging with a trend, kriging with drift, trend kriging, evrensel kriging
Berkaitan43
RingkasanRobust Universal Kriging (RUK) is a geostatistical interpolation method that combines a spatially varying deterministic trend with a stochastic residual surface, while using robust estimators to protect the variogram and trend coefficients from the distorting influence of outlying observations.Universal kriging generalizes ordinary kriging to data whose mean varies systematically across space — a spatial trend or 'drift'. It models the mean as a function of the coordinates (or covariates) and krigs the residuals, so it can interpolate variables that drift in a preferred direction, such as temperature falling with latitude or a pollutant gradient, while still returning prediction variances.
ScholarGateSet data
  1. v1
  2. 2 Sumber
  3. PUBLISHED
  1. v1
  2. 2 Sumber
  3. PUBLISHED

Pergi ke carian Muat turun slaid

ScholarGateBandingkan kaedah: Robust Universal Kriging · Universal Kriging. Dicapai 2026-06-17 daripada https://scholargate.app/ms/compare