เปรียบเทียบวิธี

	ครีจิงสามัญเฉพาะที่	Geographically Weighted Regression (GWR)
สาขาวิชา	การวิเคราะห์เชิงพื้นที่	การวิเคราะห์เชิงพื้นที่
ตระกูล	Regression model	Regression model
ปีกำเนิด	1970s–1990s	2002
ผู้ริเริ่ม	Journel & Huijbregts; developed further by Goovaerts and Chiles & Delfiner	Fotheringham, Brunsdon & Charlton
ประเภท	Geostatistical interpolation (local/moving-window variant)	Local spatial regression
แหล่งต้นตำรับ	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
ชื่อเรียกอื่น	moving window kriging, local kriging, neighborhood kriging, LOK	GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
ที่เกี่ยวข้อง	5	5
สรุป	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.