ScholarGate
Asistent

Uporedite metode

Pregledajte izabrane metode jednu pored druge; redovi koji se razlikuju su istaknuti.

Robust Universal Kriging×Model prostornog kašnjenja (SAR / Spatial Autoregressive)×
OblastProstorna analizaProstorna analiza
PorodicaRegression modelRegression model
Godina nastanka1980s–1990s1988
TvoracDeveloped through contributions of Cressie, Genton, and Rousseeuw in geostatistics and robust statisticsAnselin (textbook formalisation); LeSage & Pace
TipSpatial interpolation modelSpatial autoregressive regression
Temeljni izvorCressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience, New York. ISBN: 978-0471002550Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗
Drugi naziviRUK, robust kriging with external drift, outlier-resistant universal kriging, robust geostatistical regression krigingSAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag)
Srodne45
SažetakRobust 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.The Spatial Lag Model is an autoregressive regression that assumes spatial dependence in the dependent variable itself: the outcome values of neighbouring units enter the model as an explanatory term (ρWy). It was formalised in Anselin's Spatial Econometrics (1988) and developed further by LeSage and Pace (2009), and it decomposes spillover effects into direct, indirect, and total impacts.
ScholarGateSkup podataka
  1. v1
  2. 2 Izvori
  3. PUBLISHED
  1. v1
  2. 2 Izvori
  3. PUBLISHED

Idi na pretragu Preuzmi slajdove

ScholarGateUporedite metode: Robust Universal Kriging · Spatial Lag Model. Preuzeto 2026-06-17 sa https://scholargate.app/sr/compare