Matrix formulation of co-kriging [PDF]
The matrix form of the general co-kriging problem is presented. Matrix solutions are given for SRFs with covariance functions, for IRFs of order zero using variograms and for universal co-kriging. General methods for obtaining cross-covariance or cross-variogram models are given.
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Exploration versus Exploitation Using Kriging Surrogate Modelling in Electromagnetic Design [PDF]
This paper discusses the use of kriging surrogate modelling in multiobjective design optimisation in electromagnetics. The importance of achieving appropriate balance between exploration and exploitation is emphasised when searching for the global ...
Rotaru, M. +3 more
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Comparison of sensitivity of interpolation methods by rain gauge network density [PDF]
Different interpolation methods, each with their own strengths and weaknesses, are used to temporal and spatial estimation of precipitation. The accuracy of this estimate depends on the density of point data measured at rain gauge stations. In this study,
Amin Kanooni, Erfan Faraji Amogein
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Investigation of Spatial Variation of Some Soil Properties Using Geostatistical Methods (Case study: Margon Town, Kohgiluyeh and Boyer-Ahmad Province, Iran) [PDF]
The aim of this study was to investigate the spatial variation of some soil properties such as soil texture, organic carbon content, soil pH and electrical conductivity (EC) using geostatistical methods in Margon town, Kohgiluyeh and Boyer-Ahmad province,
Vali Behnam +2 more
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This study was conducted to explore performances of multivariate geostatistical techniques, co-kriging and regression kriging in contrast to univariate ordinary kriging, to generate detailed maps of soil texture by using proximally sensed apparent ...
R. A. A. S. Rathnayaka +2 more
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Investigating the spatial pattern of total selenium concentration in soil surface in Central Iran (case study: Isfahan Province) [PDF]
Introduction: The study of the spatial distribution of heavy metals is very important in land management and planning. The geostatistics theory is used to estimate spatial variables in unmeasured points.
Somayeh Sadr, Zahra Movahedi Rad
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Variable-Fidelity Electromagnetic Simulations and Co-Kriging for Accurate Modeling of Antennas [PDF]
Accurate and fast models are indispensable in contemporary antenna design. In this paper, we describe the low-cost antenna modeling methodology involving variable-fidelity electromagnetic (EM) simulations and co-Kriging. Our approach exploits sparsely sampled accurate (high-fidelity) EM data as well as densely sampled coarse-discretization (low ...
Koziel, S +3 more
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Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging
The use of kriging in cost-effective single-objective optimization is well established, and a wide variety of different criteria now exist for selecting design vectors to evaluate in the search for the global minimum.
Jan Sykulski +4 more
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Reliable low-cost co-kriging modeling of microwave devices [PDF]
A reliable methodology for accurate modeling of microwave devices is presented. Our approach exploits co-kriging which utilizes low- and high-fidelity EM simulation data and combines them into a single surrogate model. Densely sampled low-fidelity data determines a trend function which is further corrected by sparsely sampled high-fidelity simulations.
Koziel, Slawomir +2 more
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Spatial Estimation of Sodium Adsorption Ratio (SAR) and Chlorine in Groundwater Using Geostatistical Methods [PDF]
Having knowledge of groundwater quality in arid and semi-arid areas can result sustainability of this valuable resource. For this reason, it is necessary to estimate Sodium Adsorption Ratio (SAR) and Chlorine in the groundwater quality accurately ...
A. Izadi +3 more
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