השוואת שיטות

	קריגינג אוניברסלי (קריגינג עם מגמה)	רגרסיה משוקללת גאוגרפית (GWR)
תחום	ניתוח מרחבי	ניתוח מרחבי
משפחה	Regression model	Regression model
שנת המקור	1969	2002
הוגה השיטה	Georges Matheron	Fotheringham, Brunsdon & Charlton
סוג	Geostatistical interpolation with spatial trend	Local spatial regression
מקור מכונן	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.	Fotheringham, A. S., Brunsdon, C., & Charlton, M. (2002). Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley. ISBN: 978-0471496168
כינויים	kriging with a trend, kriging with drift, trend kriging, evrensel kriging	GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
קשורות	3	5
תקציר	Universal kriging generalizes ordinary kriging to data whose mean varies systematically across space — a spatial trend or 'drift'. It models the mean as a function of the coordinates (or covariates) and krigs the residuals, so it can interpolate variables that drift in a preferred direction, such as temperature falling with latitude or a pollutant gradient, while still returning prediction variances.	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.