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وزن‌دهی مبتنی بر فاصله معکوس (IDW)×کو-کرایجینگ (Cokriging)×
حوزهتحلیل فضاییتحلیل فضایی
خانوادهRegression modelRegression model
سال پیدایش19681963
پدیدآورDonald ShepardGeorges Matheron (geostatistics); multivariate extension
نوعDeterministic spatial interpolationMultivariate geostatistical interpolation
منبع بنیادینShepard, D. (1968). A two-dimensional interpolation function for irregularly-spaced data. Proceedings of the 23rd ACM National Conference, 517–524. DOI ↗Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266. DOI ↗
نام‌های دیگرIDW, inverse distance interpolation, Shepard's method, ters mesafe ağırlıklı enterpolasyonco-kriging, multivariate kriging, ortak kriging
مرتبط33
خلاصهInverse 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.
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ScholarGateمقایسهٔ روش‌ها: Inverse Distance Weighting · Cokriging. بازیابی‌شده در 2026-06-18 از https://scholargate.app/fa/compare