Results 31 to 40 of about 20,996 (261)
International Journal of Mining Science and Technology, 2012 This paper is devoted to application of ordinary kriging method in Choghart north anomaly iron ore deposit in Yazd province, Iran. In order to estimate the deposit, 2329 input data gained from 26 boreholes were used.
Daya Ali Akbar
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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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Bootstrap based uncertainty bands for prediction in functional kriging [PDF]
, 2016 The increasing interest in spatially correlated functional data has led to the development of appropriate geostatistical techniques that allow to predict a curve at an unmonitored location using a functional kriging with external drift model that takes ...
Franco-Villoria, Maria +1 more
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Evaluation of modelling approaches for predicting the spatial distribution of soil organic carbon stocks at the national scale [PDF]
, 2014 Soil organic carbon (SOC) plays a major role in the global carbon budget. It can act as a source or a sink of atmospheric carbon, thereby possibly influencing the course of climate change.
Arrouays, D. +8 more
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Climatic variations in Macerata province (Central Italy) [PDF]
, 2018 The province of Macerata, Italy, is a topographically complex region which has been little studied in terms of its temperature and precipitation climatology.
Barbieri, Maurizio +2 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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A comparison of statistical and machine learning methods for creating national daily maps of ambient PM$_{2.5}$ concentration [PDF]
, 2019 A typical problem in air pollution epidemiology is exposure assessment for individuals for which health data are available. Due to the sparsity of monitoring sites and the limited temporal frequency with which measurements of air pollutants ...
Berrocal, Veronica J. +6 more
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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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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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Spatial Prediction for Real Data using Kriging Technique [PDF]
المجلة العراقية للعلوم الاحصائية, 2018 This study investigates the prediction of unstable random spatial process using the Ordinary Kriging technique, based on the variogram function Y(X,Y) in finding out the predictors, and the universal multivariate technique, which has been applied by ...
Shaymaa Riyadh Thanoon Thanoon
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