Results 211 to 220 of about 32,345 (261)

Geographical correlation and prevalence of scabies in Ardabil Province the northwest of Iran 2016-2024: A spatiotemporal analysis. [PDF]

Parasitol Res
Moradi-Asl E, Lotfi N, Fathi Z, Ghorbani E.   +3 more
europepmc   +1 more source

Scatterplots showing estimated versus observed AGB at a 30 m spatial resolution with test data for (a) random forest and (b) random forest regression kriging.

Kasip Tiwari (22232186), Lana L. Narine (13827031), Adam Maggard (22232189), Marissa Daniel (22232192), Thomas Gallagher (395778), Zhaofei Fan (22232195), Bikram Singh (659369), Janaki Sandamali (20757165)   +7 more
openalex   +1 more source

Nitrogen Dioxide Monitoring by Means of a Low-Cost Autonomous Platform and Sensor Calibration via Machine Learning with Global Data Correlation Enhancement. [PDF]

Sensors (Basel)
Koziel S, Pietrenko-Dabrowska A, Wójcikowski M, Pankiewicz B.   +3 more
europepmc   +1 more source

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About regression-kriging: From equations to case studies

Computers & Geosciences, 2007
This paper discusses the characteristics of regression-kriging (RK), its strengths and limitations, and illustrates these with a simple example and three case studies. RK is a spatial interpolation technique that combines a regression of the dependent variable on auxiliary variables (such as land surface parameters, remote sensing imagery and thematic ...
Hengl, T., Heuvelink, G.B.M., Rossiter, D.G.   +2 more
openaire   +2 more sources

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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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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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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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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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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