Comparar métodos
Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.
| Krigagem Universal Global× | Co-krigagem: Interpolação Geoestatística Multivariada× | |
|---|---|---|
| Área | Análise espacial | Análise espacial |
| Família | Regression model | Regression model |
| Ano de origem≠ | 1969 | 1965-1978 |
| Autor original≠ | Georges Matheron | Matheron, G.; extended by Journel & Huijbregts |
| Tipo | Geostatistical interpolation | Geostatistical interpolation |
| Fonte seminal | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910608 | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561 |
| Outros nomes | universal kriging (global), global UK, kriging with external drift (global), global trend kriging | cokriging, co-regionalization kriging, multivariate kriging, CK |
| Relacionados≠ | 4 | 5 |
| Resumo≠ | Global 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. | Co-kriging is a geostatistical interpolation technique that predicts the spatial distribution of a primary variable by leveraging its spatial cross-correlation with one or more secondary (co-) variables. It extends ordinary kriging to multivariate settings, yielding more accurate predictions when the secondary variable is more densely sampled or spatially correlated with the primary variable of interest. |
| ScholarGateConjunto de dados ↗ |
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