Results 51 to 60 of about 543,708 (320)
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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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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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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ISPRS Int. J. Geo Inf., 2019 Soil property maps are essential resources for agricultural land use. However, soil properties mapping is costly and time-consuming, especially in the regions with complicated topographic conditions.
T. G. Pham +3 more
semanticscholar +1 more source
Spatial Prediction of Soil Contaminants Using a Hybrid Random Forest–Ordinary Kriging Model
Applied SciencesThe accurate prediction of soil contamination in abandoned mining areas is necessary to address their environmental risks. This study employed a combined model of machine learning and geostatistics to predict the spatial distribution of soil ...
Hosang Han, J. Suh
semanticscholar +1 more source
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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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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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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Interpolating point spread function anisotropy
, 2012 Planned wide-field weak lensing surveys are expected to reduce the statistical errors on the shear field to unprecedented levels. In contrast, systematic errors like those induced by the convolution with the point spread function (PSF) will not benefit ...
Courbin, F., Gentile, M., Meylan, G.
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