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	Ponderazione basata sulla distanza inversa (IDW)	Cokriging
Campo	Analisi spaziale	Analisi spaziale
Famiglia	Regression model	Regression model
Anno di origine	1968	1963
Ideatore	Donald Shepard	Georges Matheron (geostatistics); multivariate extension
Tipo	Deterministic spatial interpolation	Multivariate geostatistical interpolation
Fonte seminale	Shepard, D. (1968). A two-dimensional interpolation function for irregularly-spaced data. Proceedings of the 23rd ACM National Conference, 517–524.	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.
Alias	IDW, inverse distance interpolation, Shepard's method, ters mesafe ağırlıklı enterpolasyon	co-kriging, multivariate kriging, ortak kriging
Correlati	3	3
Sintesi	Inverse distance weighting is a simple, deterministic method for estimating values at unsampled locations by taking a weighted average of nearby measured points, where closer points carry more weight. Introduced by Donald Shepard in 1968, it embodies the first law of geography — near things are more related than distant things — and is one of the most widely used interpolation methods in GIS for mapping continuous fields such as rainfall, elevation, or pollution from scattered samples.	Cokriging extends kriging to use one or more correlated secondary variables to improve prediction of a primary variable. When the variable of interest is sparsely sampled but a related, cheaper-to-measure variable is densely sampled, cokriging borrows strength from the secondary variable through their cross-correlation, yielding more accurate interpolations and prediction variances than kriging the primary variable alone.