Results 81 to 90 of about 32,562 (111)

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  

Mantle Transition Zone Topography in New Zealand From Teleseismic P $P$‐Wave Receiver Functions

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 2, February 2026.
Abstract The geology of New Zealand has been shaped by tectonic plate interactions driven by mantle convection over the past 60 million years, but the effects of these interactions on the transition to the lower mantle are not yet well understood. We analyze 10 years of teleseismic P $P$‐wave receiver functions using common conversion point stacking to
Quan Zhang, Pascal Audet, Martha Savage, Rupert Sutherland, Tim Stern   +4 more
wiley   +1 more source

Facies-Constrained Kriging Interpolation Method for Parameter Modeling

Remote Sensing
In seismic exploration, establishing a reliable parameter model (such as velocity, density, impedance) is crucial for seismic migration imaging and reservoir characterization.
Zhenbo Nie, Bo Feng, Huazhong Wang, Chengliang Wu, Rongwei Xu, Chao Ning   +5 more
doaj   +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, Worsak Kanok- Nukulchai, Sajjad Haider   +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, Durrande, Nicolas, Mohammadi, Hossein, Riche, Rodolphe Le, Touboul, Eric   +4 more
core   +3 more sources

Genetic and Iterative Metaheuristics‐Informed Algorithms for Precision Shallow Groundwater Modeling and Drought Inference

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 1, February 2026.
Abstract Cokriging is a widely used geostatistical method for modeling the shallow groundwater table, often incorporating digital elevation models (DEMs) as secondary variables. However, existing approaches rarely include robust validation procedures to reduce local uncertainty or iteratively improve spatial predictions.
Massimiliano Schiavo, Daniele Pedretti
wiley   +1 more source

An Adaptive Moving Window Kriging Based on K-Means Clustering for Spatial Interpolation

Algorithms
Ordinary kriging (OK) is a popular interpolation method for its ability to simultaneously minimize error variance and deliver statistically optimal and unbiased predictions. In this work, the adaptive moving window kriging with K-means clustering (AMWKK)
Nattakan Supajaidee, Nawinda Chutsagulprom, Sompop Moonchai   +2 more
doaj   +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, Ken'ichi Yamaguchi, Hiroshi Iwata, Ikusaburo Kurimoto   +3 more
doaj   +1 more source

Kriging for Interpolation in Random Simulation [PDF]

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.
core   +1 more source

The Effects of Planting Structure on Groundwater Depletion and Optimization Strategies in the North China Plain

Water Resources Research, Volume 62, Issue 2, February 2026.
Abstract Planting structure drive agricultural water use and is critical to groundwater depletion in the North China Plain (NCP). However, the effects of planting structure changes on groundwater depletion are rarely quantified, and severely depleted areas are often overlooked in previous planting structure optimization studies.
Chengru Jia, Shikun Sun, Yongshan Liang, Ruihua Shen, Jinfeng Zhao, Yali Yin, Yubao Wang, Xining Zhao   +7 more
wiley   +1 more source