Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Robust Universal Kriging× | Modelo de Lag Espacial (SAR / Autoregressivo Espacial)× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1980s–1990s | 1988 |
| Autor original≠ | Developed through contributions of Cressie, Genton, and Rousseeuw in geostatistics and robust statistics | Anselin (textbook formalisation); LeSage & Pace |
| Tipo≠ | Spatial interpolation model | Spatial autoregressive regression |
| Fonte seminal≠ | Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience, New York. ISBN: 978-0471002550 | Anselin, L. (1988). Spatial Econometrics: Methods and Models. Kluwer Academic. DOI ↗ |
| Outros nomes | RUK, robust kriging with external drift, outlier-resistant universal kriging, robust geostatistical regression kriging | SAR model, spatial autoregressive model, spatial lag, Uzamsal Gecikme Modeli (SAR / Spatial Lag) |
| Relacionados≠ | 4 | 5 |
| Resumo≠ | Robust 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. |
| ScholarGateConjunto de dados ↗ |
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