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Application of a semivariogram based on a deep neural network to Ordinary Kriging interpolation of elevation data. [PDF]
PLoS ONE, 2022 The Ordinary Kriging method is a common spatial interpolation algorithm in geostatistics. Because the semivariogram required for kriging interpolation greatly influences this process, optimal fitting of the semivariogram is of major significance for ...
Yang Li +3 more
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Kriging Interpolating Cosmic Velocity Field [PDF]
Physical Review D, 2015 [abridged] Volume-weighted statistics of large scale peculiar velocity is preferred by peculiar velocity cosmology, since it is free of uncertainties of galaxy density bias entangled in mass-weighted statistics.
Jing, Yipeng +3 more
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Data-driven RRAM device models using Kriging interpolation. [PDF]
Sci Rep, 2022 AbstractA two-tier Kriging interpolation approach is proposed to model jump tables for resistive switches. Originally developed for mining and geostatistics, its locality of the calculation makes this approach particularly powerful for modeling electronic devices with complex behavior landscape and switching noise, like RRAM.
Hossen I, Anders MA, Wang L, Adam GC.
europepmc +4 more sources
Kriging for Interpolation in Random Simulation [PDF]
Journal of the Operational Research Society, 2003 Whenever simulation requires much computer time, interpolation is needed. There are several interpolation techniques in use (for example, linear regression), but this paper focuses on Kriging.This technique was originally developed in geostatistics by D ...
Beers, W.C.M. van, Kleijnen, J.P.C.
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Geostatistical interpolation by quantile kriging [PDF]
Hydrology and Earth System Sciences, 2019 The widely applied geostatistical interpolation methods of ordinary kriging (OK) or external drift kriging (EDK) interpolate the variable of interest to the unknown location, providing a linear estimator and an estimation variance as measure of ...
H. Lebrenz, H. Lebrenz, A. Bárdossy
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Dispersion Curve Interpolation Based on Kriging Method
Applied Sciences, 2023 Volcanic eruptions significantly impact human life. However, real-time high-precision imaging in this context still has limitations. Spatial–temporal interpolation can replace real-time data imaging, in order to obtain the state of a given volcano at any
Han Zhang, You Tian, Pengfei Zhao
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Research on a coal seam modeling construction method based on improved kriging interpolation [PDF]
Scientific ReportsTo address the issues of large anomalous triangulations, invalid interpolations, and uneven boundary interpolations in kriging interpolation, we propose research on a coal seam modeling construction method based on improved kriging interpolation.
Jing Zhang, Guangwei Liu
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Raster data projection transformation based-on Kriging interpolation approximate grid algorithm
Alexandria Engineering Journal, 2021 To solve the problems of small area, slow calculation speed and low precision in the projection transformation algorithm of raster data, the idea of using Kriging interpolation approximate grid algorithm for raster data projection transformation is ...
Junzhen Meng
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Guan'gai paishui xuebao, 2022 【Objective】 Canopy temperature varies with leaf water content and can be used as a proxy of crop water deficit. In this paper, we compare different interpolation methods for calculating spatial distribution of crop water deficit based on canopy ...
ZHANG Minne +3 more
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Kriging Interpolation in Modelling Tropospheric Wet Delay [PDF]
Atmosphere, 2020 This contribution implements the Kriging interpolation in predicting the tropospheric wet delays using global navigation satellite system networks. The predicted tropospheric delays can be used in strengthening the precise point positioning models and numerical weather prediction models.
Hongyang Ma +4 more
openaire +4 more sources