co-kriging
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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Accounting for secondary variable for the classification of mineral resources using co-kriging technique; a Case study of Sarcheshmeh porphyry copper deposit
... simple co-kriging ...simple kriging was tried too, but it should be noted that this can be done just when ones are sure about the stationarity conditions of the environment in which the estimations ...
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Soil depth prediction supported by primary terrain attributes: a comparison of methods
... The use of auxiliary terrain data slightly improved the prediction of soil depth. The best results were obtained using co-kriging method with slope as covariate. In prediction on validation individual sites ...
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Kim
... for kriging. Different kriging techniques have been applied including ordinary kriging regression kriging, co-kriging, and universal kriging (De Jong et ...AGB. ...
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MULTIVARIATE GEOSTATISTICS FOR MAPPING METEOROLOGICAL PRECIPITATION Ismail Bulent Gundogdu
... e.g., kriging, inverse-distance weighting (IDW) and smoothing splines. Kriging has been used for the interpolation of temperature and precipitation regression residuals across a wide region, including the ...
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Multi fidelity optimization via surrogate modelling
... combining co-kriging (the multi- response extension to kriging alluded to earlier) with a Bayesian model update criterion designed to balance the exploration of the search space and the quick ...
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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
... For kriging prediction we use the gstat package (Pebesma 2004), which is suitable for a wide range of geostatistical computations including variogram modeling, ordinary, univer- sal, regression, kriging and ...
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Geostatistical interpolation by quantile kriging
... probability kriging defines multiple thresholds and uses the order relation of the observed variable (Carr and Mao, 1993), being implemented by using co-kriging in the derived multi- variate ...
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An overview of the recent approaches to terroir functional modelling, footprinting and zoning
... (the kriging system) from the fitted variogram function and the available data (Oliver and Webster, ...block co-kriging with a hyperspectral image (Lagacherie et ...factorial kriging of ...
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Kriging In Mass Appraisal For Rating
... investigated kriging models will also focus on the use of residuals of spatial hedonic models as the observed values of house prices to account for spatial dependence of ...observations. Co-kriging ...
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Building a traceable climate model hierarchy with multi-level emulators
... The co-kriging (trained with 50 expensive and 150 cheap points) and kriging (trained with 50 expensive points) are val- idated using the 214-member validation ...score, co-kriging ...
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Geostatistical Approach for Groundwater Quality Evaluation in Zarin Abad Plain, Iran
... Kriging, Co-Kriging, and IDW methods were evaluated by the error indices of RMSE and ...the Co- Kriging Model was the most optimal approach in studying the spatial variation of ...
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Groundwater Level Forecasting Using Wavelet and Kriging
... piezometer. Kriging was used in spatial ...the kriging method was used and a Gaussian model was selected as the best variogram ...on Kriging method for spatial estimating were suitable choices for ...
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Kriging Analysis In The Spatial Domain For Dispersion Models
... In this paper pollution concentration is approximated by Kriging function. The expected peak pollutant concentration has been forecast. If we simulate the system with the proposed methods, we can also find the ...
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A new class of nonstationary spatial models
... the Bayesian standard errors at the CASTNet loations versus the Kriging standard error. The[r] ...
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Contribution of geostatistical analysis for the assessment of RMR and geomechanical parameters
... previous kriging methods that minimize the variance, inherently underestimates the variability and smooth out local details of RMR spatial variation, this can be a problem when trying to map sharp spatial ...
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Kriging with small number of data supported by
... reservoirs of Neogene age: A case study of Kloštar Field, Sava Depression. Deterministički i stohastički geološki modeli gornjomiocenskih pješčenjačkih ležišta u 398[r] ...
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Development of a method of robust rain gauge network optimization based on intensity duration frequency results
... Abstract. Based on rainfall intensity-duration-frequency (IDF) curves, fitted in several locations of a given area, a ro- bust optimization approach is proposed to identify the best locations to install new rain gauges. ...
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Cluster-based Kriging approximation algorithms for complexity reduction
... Bayesian Committee Machines (BCM) [42] is an algo- rithm similar to the ones we propose, but developed from a completely different perspective. The basic motivation is to divide a huge training set into several ...
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Location prediction optimisation in WSNs using kriging interpolation
... The Kriging algorithm continuously improves its predictions and interpolation of the uncovered area and produces higher accuracy as number of iteration ...80, Kriging yielded minmum error reduction of ...
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