Krahasoni metodat
Shqyrtoni metodat e zgjedhura krah për krah; rreshtat që ndryshojnë janë të theksuar.
| Krigimi Bajesian (Gjeostatistikë e bazuar në model)× | Ko-krigimi: Ndërmjetësim Gjeostatistik Multivariat× | |
|---|---|---|
| Fusha | Analiza hapësinore | Analiza hapësinore |
| Familja | Regression model | Regression model |
| Viti i origjinës≠ | 1993–1998 | 1965-1978 |
| Krijuesi≠ | Diggle, Tawn & Moyeed; Handcock & Stein | Matheron, G.; extended by Journel & Huijbregts |
| Lloji≠ | Bayesian spatial interpolation | Geostatistical interpolation |
| Burimi themelues≠ | Diggle, P. J., Tawn, J. A., & Moyeed, R. A. (1998). Model-based geostatistics. Journal of the Royal Statistical Society: Series C (Applied Statistics), 47(3), 299–350. DOI ↗ | Journel, A. G., & Huijbregts, C. J. (1978). Mining Geostatistics. Academic Press, London. ISBN: 978-0123910561 |
| Emërtime të tjera | Bayesian geostatistics, model-based geostatistics, Bayesian spatial interpolation, stochastic kriging | cokriging, co-regionalization kriging, multivariate kriging, CK |
| Të lidhura | 5 | 5 |
| Përmbledhja≠ | Bayesian Kriging embeds classical geostatistical interpolation inside a full probabilistic framework. Instead of treating variogram parameters as fixed point estimates, it places prior distributions on them and updates these priors with observed spatial data to obtain a posterior distribution. Predictions at unsampled locations are then marginalised over this uncertainty, yielding honest predictive intervals that account for both spatial dependence and parameter uncertainty. | 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. |
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