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Krigueo Ordinario Local×Regresión Geográficamente Ponderada (GWR)×
CampoAnálisis espacialAnálisis espacial
FamiliaRegression modelRegression model
Año de origen1970s–1990s2002
Autor originalJournel & Huijbregts; developed further by Goovaerts and Chiles & DelfinerFotheringham, Brunsdon & Charlton
TipoGeostatistical interpolation (local/moving-window variant)Local spatial regression
Fuente seminalChiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley. ISBN: 978-0471083153Fotheringham, 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, neighborhood kriging, LOKGWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Relacionados55
ResumenLocal Ordinary Kriging (LOK) is a geostatistical interpolation method that estimates values at unsampled locations using only a spatially defined moving neighborhood of nearby observations. By restricting each prediction to a local data window rather than the full dataset, LOK accommodates spatial non-stationarity, reduces computational cost, and often yields more accurate local predictions than global ordinary kriging.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 Ordinary Kriging · Geographically Weighted Regression. Recuperado el 2026-06-19 de https://scholargate.app/es/compare