قارن الطرق

	الكْرِيجَة الشاملة (الكْرِيجَة مع اتجاه)	الانحدار الموزون جغرافيًا (GWR)
المجال	التحليل المكاني	التحليل المكاني
العائلة	Regression model	Regression model
سنة النشأة	1969	2002
صاحب الطريقة	Georges Matheron	Fotheringham, Brunsdon & Charlton
النوع	Geostatistical interpolation with spatial trend	Local spatial regression
المصدر التأسيسي	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
الأسماء البديلة	kriging with a trend, kriging with drift, trend kriging, evrensel kriging	GWR, local regression, spatially varying coefficient regression, Coğrafi Ağırlıklı Regresyon (GWR)
ذات صلة	3	5
الملخص	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.