Results 21 to 30 of about 440,783 (177)
PLoS ONE, 2022 The Ordinary Kriging method is a common spatial interpolation algorithm in geostatistics. Because the semivariogram required for kriging interpolation greatly influences this process, optimal fitting of the semivariogram is of major significance for ...
Yang Li +3 more
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Exploration versus Exploitation Using Kriging Surrogate Modelling in Electromagnetic Design [PDF]
, 2011 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
core +2 more sources
Tropical Agricultural Research, 2018 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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A European daily high-resolution gridded data set of surface temperature and precipitation for 1950-2006 [PDF]
, 2008 We present a European land-only daily high-resolution gridded data set for precipitation and minimum, maximum, and mean surface temperature for the period 1950–2006.
Jones, P. D. +14 more
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Comparison of sensitivity of interpolation methods by rain gauge network density [PDF]
علوم و مهندسی آبیاریDifferent 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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Scalarizing cost-effective multiobjective optimization algorithms made possible with kriging
, 2007 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
core +2 more sources
Advanced Science, EarlyView.Furrow tillage resolves the conventional‐vs.‐no‐tillage trade‐off by simultaneously cutting CO2 efflux to 2.0–3.0 g C m−2 d−1 and unlocking high nutrient availability for the rice rhizosphere. This scalable agronomic solution strengthens soil health, enhances plant physiology, reshapes microbial metabolism, and shifts paddy systems toward a net ...
Arnab Majumdar +10 more
wiley +1 more source
Metamodel-Assisted Multidisciplinary Design Optimization of a Radial Compressor
International Journal of Turbomachinery, Propulsion and Power, 2019 Kriging is increasingly used in metamodel-assisted design optimization. For expensive simulations; however, one can afford only a few samples to build the Kriging model, which consequently lacks prediction accuracy.
Mohamed H. Aissa, Tom Verstraete
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Advanced Science, EarlyView.A multi‐fidelity framework integrates sparse direct and abundant indirect electrocaloric measurements. Multi‐objective active learning accelerates BaTiO3‐based electrocaloric materials discovery at –70∘C$^{\circ }{\rm C}$. A diffuse transition enables an electrocaloric strength of 0.06×$\times$10−6 Km/V at –70℃ with an operational temperature span of ...
Bo Wang +8 more
wiley +1 more source
Ege Bölgesi’nde yağışın mekânsal dağılımı
Coğrafi Bilimler Dergisi, 2013 Spatial modelling of climatological variables is one of the most crucial parts of environmental studies. Prediction of natural events such as hydrological phenomenon, drought, flood, ground-surface water amount, pollution of water sources, and issues ...
Olgu Aydın, İhsan Çiçek
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