kriging methods
Comparison of Accuracy of Artificial Neural Network (ANN) and Kriging Methods for Estimating Chlorine Concentration
... and Kriging methods in predicting chlorine in ...best Kriging model is also obtained by changing the variogram function, such that the Gaussian variogram has the least error in interpolation of the ...
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Spatial characterization and interpolation of precipitation data
... research, kriging methods such as ordinary kriging, kriging with a trend, universal kriging and others have been used to incorporate the heterogeneity and spatial correlation of climate ...
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Application of GIS in downscaling regional climate model results over the province of Ontario
... interpolation methods in GIS and compared the performance of each method in a case study of rain gauges in ...and kriging methods could be able to provide reliable ...other methods, ...
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Risk governance for traffic accidents by Geostatistical Analyst methods
... In this paper, geostatistical approaches have been used to study traffic accident datasets in a case study of the city of Konya. The paper attempts to examine the characteristics of the spatial distribution of traffic ...
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Spatial Distribution of Rainfall and Reference Evapotranspiration in Southeast Nigeria
... and Kriging in ArcGIS were employed for monthly, annual and seasonal rainfall and ...and kriging methods with measured rainfall and ETo data, evaluated at R = ...
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Kriging Geostatistical Methods for Travel Mode Choice: A Spatial Data Analysis to Travel Demand Forecasting
... the Kriging estimation, which is a li- near prediction represented by matricial ...of Kriging is to conduct estimates with minimum er- ror and variance (optimizing the model) through the parameters defined ...
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Mapping the topsoil pH and humus quality of forest soils in the North Bohemian Jizerské hory Mts region with ordinary, universal, and regression kriging: cross validation comparison
... regression kriging is superior over other kriging methods since the highest percentage of best predictions in total was made by this tech- ...universal kriging maps show a northeast to ...
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Assessment of Severity of Droughts Using Geostatistics Method(Case Study: Southern Iran)
... Geostatistical methods allow the interpolation of spatially referenced data and the prediction of values for arbitrary points in the area of ...geostatistical methods, including ordinary kriging ...
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Geostatistical analysis of soil texture fractions on the field scale
... hybrid methods such as kriging with external drift (KED) will result in a more precise ...various kriging methods were ...ordinary kriging, regression kriging, three- dimensional ...
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Mapping of Porosity, Permeability and Thickness Distribution: Application of Geostatistical Modeling for the Jubilee Oilfield in Ghana
... Geostatistical methods have been applied to a reservoir in Jubilee oilfield, south-western Ghana, to analyses the distribution patterns of porosity, permeability and ...The methods implemented include ...
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Topological and canonical kriging for design flood prediction in ungauged catchments: an improvement over a traditional regional regression approach?
... applies kriging methods over a geographical space and combines two groups of forcings for hydrological variabil- ity (Skøien et ...and kriging is performed to predict the vari- ables at the ungauged ...
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Determining suitable model for zoning drinking water distribution network based on corrosion potential in Sanandaj City, Iran
... A result relating to data’s being normal after normalizing the data, we examined it using statistical Kolmogorov-Smirnov test in SPSS 16 software. Table 1 presents a statistical summary of the corrosion situation of the ...
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Spatio-Temporal Analysis of Drought Severity Using Drought Indices and Deterministic and Geostatistical Methods (Case Study: Zayandehroud River Basin)
... Geostatistical methods allow the interpolation of spatially referenced data and the prediction of values for arbitrary points in the area of ...interpolation methods, including ordinary kriging (OK), ...
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Kriging regression in digital image correlation for error reduction and uncertainty quantification
... A uniform grid of sample points (16×64) was selected as indicated by the red ‘+’ signs shown in the reference images of Figure 7–9. The subset-based DIC method based on a Newton-Raphson scheme, a shape function in the ...
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Application of cross validation technique for zoning of groundwater levels in Shahrekord plain
... close (Median = 6.32 and Mean = 6.31). Therefore, ac- cording to low difference between Median and Mean, data have been changed to normal distribution by con- verting to logarithm and thereby the condition of normal- ity ...
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Sequential Gaussian Simulation in the Sungun Cu Porphyry Deposit and Comparing the Stationary Reproduction with Ordinary Kriging
... This is also evident from the kriging variance, which is much smaller than the actual variance. OK does not reflect the true variability especially for high values (Fig. 9), and hence is not appropriate for the ...
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Evaluation of co-kriging different methods for rainfall estimation in arid region (Central Kavir basin in Iran)
... The delineated base map (i.e. polygon feature class) of the study area and the location of rainfall gauging stations within the Kavir basin (i.e. point feature class) were generated using ArcGIS as two different coverage ...
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Multi-objective optimization of coronary stent using Kriging surrogate model
... The absolute value of dogboning ratio and radial elastic recoil of Palmaz-Schatz stent were minimized by the multi-objective optimization method proposed in this paper. The initial trial samples which included the ...
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Comparison of Hybrid Methods with Different Meta Model Used in Bridge Model-Updating
... hybrid methods In this section, Hybrid Method A denotes the optimization process with Kriging meta model, and Hybrid Method B denotes the process with BPNN meta ...hybrid methods, the parameters ...
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Towards Single- and Multiobjective Bayesian Global Optimization for Mixed Integer Problems
... Abstract. Bayesian Global Optimization (BGO) is a very efficient technique to optimize expensive evaluation problems. However, the application domain is limited to continuous search spaces when using a BGO algorithm. To ...
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