Estimation of covariance function parameters of the error process in the presence of an unknown smooth trend is an important problem because solving it allows one to ...

Functions: an ordner containing the following documents - Auxiliary-functions.R: auxiliary functions needed for the variogram estimations, e.g. to build the vectors for the MCD variogram estimators - ...

ABSTRACT: The yield map is generated by fitting the yield surface shape of yield monitor data mainly using paraboloid cones on floating neighborhoods. Each yield map value is determined by the fit of ...

The variogram function plays a key role in modeling intrinsically stationary random fields, especially in spatial prediction using kriging equations. However, determining whether a computed variogram ...

1 College of Resources & Civil, Northeastern University, Shenyang, China. 2 Colleage of Geoexploration Engineering, Kimchaek University of Technology, Pyongyang, DPR of Korea. A key stage for Kriging ...

Abstract: Parameter estimation of variogram models is an important problem in geostatistics and environmental engineering. Most of existing works aim to estimate parameters of variogram single models, ...

Abstract: The optimal fitting of variogram is the key to study the spatial variance law of heavy metals in soil, which can effectively improve the accuracy and reliability of spatial interpolation of ...