So sánh phương pháp

	Cokriging	Nghịch đảo khoảng cách có trọng số (IDW)
Lĩnh vực	Phân tích không gian	Phân tích không gian
Họ	Regression model	Regression model
Năm ra đời	1963	1968
Người khởi xướng	Georges Matheron (geostatistics); multivariate extension	Donald Shepard
Loại	Multivariate geostatistical interpolation	Deterministic spatial interpolation
Công trình gốc	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.	Shepard, D. (1968). A two-dimensional interpolation function for irregularly-spaced data. Proceedings of the 23rd ACM National Conference, 517–524.
Tên gọi khác	co-kriging, multivariate kriging, ortak kriging	IDW, inverse distance interpolation, Shepard's method, ters mesafe ağırlıklı enterpolasyon
Liên quan	3	3
Tóm tắt	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.	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.