Krahasoni metodat

	Krigingu i Zakonshëm Lokal	Regresioni Gjeografikisht i Peshuar (GWR)
Fusha	Analiza hapësinore	Analiza hapësinore
Familja	Regression model	Regression model
Viti i origjinës	1970s–1990s	2002
Krijuesi	Journel & Huijbregts; developed further by Goovaerts and Chiles & Delfiner	Fotheringham, Brunsdon & Charlton
Lloji	Geostatistical interpolation (local/moving-window variant)	Local spatial regression
Burimi themelues	Chiles, J.-P., & Delfiner, P. (1999). Geostatistics: Modeling Spatial Uncertainty. Wiley. ISBN: 978-0471083153	Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
Emërtime të tjera	moving window kriging, local kriging, neighborhood kriging, LOK	GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
Të lidhura	5	5
Përmbledhja	Local 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.