Results 91 to 100 of about 37,239 (228)
Estimating Soil Contamination with Kriging Interpolation Method [PDF]
American Journal of Applied Sciences, 2006 The main objective of this study was to investigate whether Kriging is a useful tool to estimate the spatial distribution of ground pollutants in contaminated land. The second objective of this work was a more practical one. It consists on the identification of areas that should be subjected to remedial actions and also on deciding which contaminant ...
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Ecology and Evolution, Volume 16, Issue 4, April 2026.We evaluated how landscape features, including fire, influence genetic connectivity for three small mammal species in northern Australian savannas. Using resistance surface modelling across two islands with contrasting disturbance regimes, we found that fire, rainfall, and topography affected gene flow in species‐ and scale‐specific ways.
Alexander R. Carey +7 more
wiley +1 more source
Facies-Constrained Kriging Interpolation Method for Parameter Modeling
Remote SensingIn seismic exploration, establishing a reliable parameter model (such as velocity, density, impedance) is crucial for seismic migration imaging and reservoir characterization.
Zhenbo Nie +5 more
doaj +1 more source
DCENT‐I: A Globally Infilled Extension of the Dynamically Consistent ENsemble of Temperature Dataset
Geoscience Data Journal, Volume 13, Issue 2, April 2026.DCENT‐I infills data gaps in DCENT, producing spatially coherent temperature fields (top) and a slightly higher GMST warming estimate (bottom). Top: December 1877 temperature anomalies (°C; 1961–1990 December baseline) from DCENT (left) and DCENT‐I (right). Bottom: GMST before (DCENT, blue) and after (DCENT‐I, red) infilling.
Duo Chan +8 more
wiley +1 more source
Application of Moving Kriging Shape Functions on Plate Problems
NUST Journal of Engineering Sciences, 2008 The Moving Kriging (MK) interpolation was recently proposed as a superior substitution of the Moving Least Square (MLS) approximation in the construction of shape functions for the Element-Free Galerkin Method (EFGM).
Shazim Ali Memon +2 more
doaj +1 more source
An analytic comparison of regularization methods for Gaussian Processes [PDF]
, 2015 Gaussian Processes (GPs) are a popular approach to predict the output of a parameterized experiment. They have many applications in the field of Computer Experiments, in particular to perform sensitivity analysis, adaptive design of experiments and ...
Bay, Xavier +4 more
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GloMarGridding: A Python Toolkit for Flexible Spatial Interpolation in Climate Applications
Geoscience Data Journal, Volume 13, Issue 2, April 2026.Global surface climate datasets contain structural uncertainty that is difficult to attribute to individual processing steps. We present GloMarGridding, a Python package that isolates the spatial interpolation component using Gaussian Process Regression (or kriging) to generate spatially complete fields and uncertainty estimates. The techniques used in
Richard C. Cornes +6 more
wiley +1 more source
Kriging Interpolation Evaluation of Vapor Pressure Deficit in Plant Factory with Solar Light
SICE Journal of Control, Measurement, and System Integration, 2020 To maximize the growth of plants, controlling VPD is applied by fog cooling in a plant factory with solar light. The spatial data of environmental information cannot be obtained without interpolation among the detected values by the allocated sensors. In
Takashi Koga +3 more
doaj +1 more source
A geostatistical model based on Brownian motion to Krige regions in R2 with irregular boundaries and holes [PDF]
, 2019 Master's Project (M.S.) University of Alaska Fairbanks, 2019Kriging is a geostatistical interpolation method that produces predictions and prediction intervals.
Bernard, Jordy
core
Image Inpainting by Kriging Interpolation Technique
, 2013 6 pages, 9 figures, 1 ...
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