Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Kriging Global× | Kriging Local (Kriging de Ventana Móvil)× | |
|---|---|---|
| Campo | Análisis espacial | Análisis espacial |
| Familia | Regression model | Regression model |
| Año de origen≠ | 1960s–1993 | 1990 |
| Autor original≠ | Georges Matheron (kriging framework); global neighborhood usage formalized in applied geostatistics | Haas, T. C. |
| Tipo≠ | Geostatistical interpolation | Spatial interpolation (local variant) |
| Fuente seminal≠ | Cressie, N. A. C. (1993). Statistics for Spatial Data (revised ed.). Wiley-Interscience. ISBN: 978-0471002550 | Haas, T. C. (1990). Kriging and automated variogram modeling within a moving window. Atmospheric Environment, 24(7), 1759-1769. DOI ↗ |
| Alias | global-neighborhood kriging, full-data kriging, exhaustive kriging, non-local kriging | moving-window kriging, local kriging interpolation, windowed kriging, neighborhood kriging |
| Relacionados≠ | 5 | 3 |
| Resumen≠ | Global Kriging is the ordinary kriging interpolation procedure applied using all available sample points as the neighborhood — no spatial search window limits which data contribute to each prediction. It produces optimal linear unbiased predictions of an unobserved value at any target location, with associated prediction-error variances, by exploiting a fitted variogram model that encodes spatial autocorrelation across the entire dataset. | Local Kriging is a spatially adaptive geostatistical interpolation method that restricts each prediction to a moving neighborhood of nearby observations, fitting a variogram model locally within that window. This allows spatial covariance structure to vary across the study region rather than imposing a single global variogram, making it better suited to large or non-stationary spatial fields. |
| ScholarGateConjunto de datos ↗ |
|
|