Recursive Polynomial Chaos Co-Kriging for Reliability-based Design Optimisation [PDF]
Peter Zeno Korondi +3 more
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Environmental and biotic drivers of Aedes albopictus spatiotemporal distribution in a subtropical city: A major transit hub on Argentina's triple border. [PDF]
Siches JA +5 more
europepmc +1 more source
AI-enhanced clustering of mine tailings using Geostatistical data augmentation and Gaussian mixture models. [PDF]
Madani N, Sabanov S.
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Spatiotemporal trends in temperature and rainfall within the coffea arabica landscapes of Gimbo and Decha districts in the Kafa Zone, Southwest Ethiopia. [PDF]
Amsalu A +3 more
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Spatial distribution of the groundwater quality using kriging and Co-kriging interpolations [PDF]
The present work is aimed for investigation the groundwater quality for drinking purposes in El Mila plain, Algeria. This is carried out through an integrated approach of groundwater quality index (GWQI) and geostatistical method for mapping this index ...
Ammar Tiri, Lotfi Mouni, Lazhar Belkhiri
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Co-kriging for stochastic flow models
Transport in Porous Media, 1989Co-kriging equations for log-transmissivity and heads are derived for a two-dimensional stochastic model. The behavior of the weights as a function of the unknown value of mean hydraulic gradient J are discussed and the procedure is illustrated by studying the ‘screening’ effects of adjacent measurements and added head measurements.
Allan Gutjahr, John Wilson
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Extended Co-Kriging interpolation method based on multi-fidelity data
Applied Mathematics and Computation, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Manyu Xiao +4 more
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Estimation of linear combinations and co-kriging
Journal of the International Association for Mathematical Geology, 1983Utilizing the matrix formulation of co-kriging developed previously by the author, the relationship between direct kriging of linear combinations and linear combinations of co-kriged variables is developed. Conditions for equality of the estimators and the kriging variances are examined.
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Co-Kriging or Joint Estimation utilizes data from correlated variables to improve the estimation of all variables or to compensate for missing data on some variables. The general formulation of Co-Kriging in matrix form was given by the author. The matrix form emphasizes the analogy with Kriging of one variable utilizing only spatial dependence ...
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