Results 151 to 160 of about 5,570 (187)

Universal Kriging and Cokriging as a Regression Procedure

Biometrics, 1991
Prediction of a property on the basis of a set of point measurements in a region is required if a map of this property for the region is to be made. Of the spatial interpolation and prediction techniques, kriging is optimal among all linear procedures, as it is unbiased and has minimal variance of the prediction error. In cokriging, which has this same
Stein, A., Corsten, L.C.A.
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Mapping geogenic radon potential by regression kriging

Science of The Total Environment, 2016
Radon ((222)Rn) gas is produced in the radioactive decay chain of uranium ((238)U) which is an element that is naturally present in soils. Radon is transported mainly by diffusion and convection mechanisms through the soil depending mainly on the physical and meteorological parameters of the soil and can enter and accumulate in buildings.
Pásztor, László, Szabó, Katalin Zsuzsanna, Szatmári, Gábor, Laborczi, Annamária, Horváth, Ákos   +4 more
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Can regression determination, nugget-to-sill ratio and sampling spacing determine relative performance of regression kriging over ordinary kriging?

Catena, 2019
Abstract Regression kriging (RK), a popular digital soil mapping method which combines regression and ordinary kriging (OK) to predict, did not always perform better than OK purely. A lot of studies tried to establish approaches for determining relative improvement (RI) of RK over OK in terms of two of three factors, i.e., regression determination ...
Xiao-Lin Sun, Hui-Li Wang
exaly   +2 more sources

Comparing Ordinary Kriging and Regression Kriging for Soil Properties in Contrasting Landscapes

Pedosphere, 2010
Abstract The accuracy between ordinary kriging and regression kriging was compared based on the combined consideration of sample size, spatial structure, and auxiliary variables (terrain indices and electromagnetic induction surveys) for a variety of soil properties in two contrasting landscapes (agricultural vs. forested).
Q. ZHU, H.S. LIN
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Generalized Kriging Model for Interpolation and Regression

Transactions of the Korean Society of Mechanical Engineers A, 2005
Kriging model is widely used as design analysis and computer experiment (DACE) model in the field of engineering design to accomplish computationally feasible design optimization. In general, kriging model has been applied to many engineering applications as an interpolation model because it is usually constructed from deterministic simulation ...
Jae Jun Jung, Tae Hee Lee
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A comparison of kriging, co-kriging and kriging combined with regression for spatial interpolation of horizon depth with censored observations

Geoderma, 1995
Abstract We compared the performances of kriging and two methods of interpolation which allow to account for an auxiliary variable: co-kriging, and kriging combined with regression. These two methods were applied to improve the interpolation of the soft layers depth (Dsl) measured by augering, using the bulk soil electrical conductivity (ECa ...
Knotters, M., Brus, D.J., Oude Voshaar, J.H.   +2 more
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Downscaling MODIS images with area-to-point regression kriging

Remote Sensing of Environment, 2015
Abstract The first seven bands of the Moderate Resolution Imaging Spectroradiometer (MODIS) data have been used widely for global land-cover/land-use (LCLU) monitoring (e.g., deforestation over the Amazon basin). However, the spatial resolution of MODIS bands 3–7 (i.e., 500 m) is coarser than that of bands 1 and 2 (i.e., 250 m), and may be too coarse
Qunming Wang, Wenzhong Shi, Peter M Atkinson   +2 more
exaly   +2 more sources

Regression-kriging for characterizing soils with remotesensing data

Frontiers of Earth Science, 2011
In precision agriculture regression has been used widely to quantify the relationship between soil attributes and other environmental variables. However, spatial correlation existing in soil samples usually violates a basic assumption of regression: sample independence.
Yufeng Ge, J. Alex Thomasson, Ruixiu Sui, James Wooten   +3 more
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Regression Kriging Analysis for Longitudinal Dispersion Coefficient

Water Resources Management, 2013
Prediction of longitudinal dispersion coefficient (LDC) is still a novel topic for both environmental and water sciences due to its practical importance. In this study, the appraisal of LDC is considered as a spatial modelling problem and the analyses are carried out by regression kriging.
Bulent Tutmez, Mehmet Yuceer
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Nonparametric Regression, Kriging and Process Optimization

1995
Thin plate splines and kriging models are proposed as methods for approximating unknown response functions in the context of process optimization. Connections between the methods are discussed and implementation of the models using S-PLUS is described.
M. O’Connell, P. Haaland, S. Hardy, D. Nychka   +3 more
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