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Kriging Local (Kriging de Ventana Móvil)×Regresión Geográficamente Ponderada (GWR)×
CampoAnálisis espacialAnálisis espacial
FamiliaRegression modelRegression model
Año de origen19902002
Autor originalHaas, T. C.Fotheringham, Brunsdon & Charlton
TipoSpatial interpolation (local variant)Local spatial regression
Fuente seminalHaas, T. C. (1990). Kriging and automated variogram modeling within a moving window. Atmospheric Environment, 24(7), 1759-1769. DOI ↗Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Aliasmoving-window kriging, local kriging interpolation, windowed kriging, neighborhood krigingGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Relacionados35
ResumenLocal 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.Geographically Weighted Regression is a local regression method, introduced by Fotheringham, Brunsdon and Charlton (2002), that allows the regression coefficients to vary across space. Instead of one global equation, it fits a separate set of coefficients at every location, capturing spatial heterogeneity in the relationships.
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ScholarGateComparar métodos: Local Kriging · Geographically Weighted Regression. Recuperado el 2026-06-18 de https://scholargate.app/es/compare