كريكنك المتقاطع - التغاير المتقاطع - الإحصاء المكاني - حقول متعددة المتغيرات العشوائية.
Co-kriging - Multivariate random fields - Cross -Covariance Functions - Spatial statistics
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This paper deals to how to estimate points non measured spatial data when the number of its terms (sample spatial) a few, that are not preferred for the estimation process, because we also know that whenever if the data is large, the estimation results of the points non measured to be better and thus the variance estimate less, so the idea of this paper is how to take advantage of the data other secondary (auxiliary), which have a strong correlation with the primary data (basic) to be estimated single points of non-measured, as well as measuring the variance estimate, has been the use of technique Co-kriging in this field to build predictions spatial estimation process, and then we applied this idea to real data in th
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