Why is "Kriging" trending?
Latest news, Wikipedia summary, and trend analysis.
Trend Analysis
- Ranking position: #
- Date: 2026-05-21 10:59:44
This topic has appeared in the trending rankings 1 time(s) in the past year. While it does not trend frequently, its appearance suggests a renewed or concentrated surge of public interest.
Based on Wikipedia pageviews and search interest, this topic gained significant attention on the selected date.
Trend Insight
Kriging entered the ranking for the first time today at position #. This is its highest position ever recorded.
Trend History
This topic has appeared in the English Wikipedia rankings 1 time. It first appeared on 2026-05-21 and was most recently seen on 2026-05-21.
Wikipedia Overview
In statistics, originally in geostatistics, kriging or Kriging, also known as Gaussian process regression, is a method of interpolation based on Gaussian process governed by prior covariances. Under suitable assumptions of the prior, kriging gives the best linear unbiased prediction (BLUP) at unsampled locations. Interpolating methods based on other criteria such as smoothness may not yield the BLUP. The method is widely used in the domain of spatial analysis and computer experiments. The technique is also known as Wiener–Kolmogorov prediction, after Norbert Wiener and Andrey Kolmogorov.
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Trending Topic Today
Search Interest Perspective
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Integrating random forest-based regression kriging for analyzing spatial variability of rainfall in arid and semi-arid regions - Nature
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Focal‐Feature Regression Kriging - Luo - 2026 - Geographical Analysis - Wiley Online Library
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DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise - The Association for the Advancement of Artificial Intelligence
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AI Can Find The Gold. The Rulebook Won’t Let It Count. - Forbes
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Kriging to Kolmogorov-Arnold Network model accelerated discovery of oxygen control strategy in lead-based fast reactors - Nature
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Optimizing Automated Kriging to Improve Spatial Interpolation of Monthly Rainfall over Complex Terrain - University of Hawaii System
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An adaptive multi-scale kriging framework with committee-based infill for engineering design optimization - Nature
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Global‐Krigger: A Global Kriging Interpolation Toolbox With Paleoclimatology Examples - AGU Publications
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Inductive Graph Neural Networks for Spatiotemporal Kriging - The Association for the Advancement of Artificial Intelligence
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Efficient optimization of noise-reducing orifice plates in nature gas pressure regulators based on adaptive multi-scale sampling-kriging model - Nature
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Borehole‐Based Interval Kriging for 3D Lithofacies Modeling - Song - 2024 - Water Resources Research - AGU Publications
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Design optimization of battery enclosures under nonlinear impact loading using a K-Kriging hybrid surrogate model - Nature
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Kriging-variance-based multi-member ensembles of radar–rain-gauge precipitation estimates: Application in Switzerland - Wiley & Sons
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Optimization of centrifugal fan for oolong tea shaking machine based on Kriging model and multi-objective particle swarm algorithm - Nature
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A neural network-based automatic semi-variogram modeling approach for geomagnetic map construction in multi-source indoor and outdoor navigation - Nature
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Optimal interpolation methods for predicting groundwater levels in Abu Dhabi Emirate using ArcGIS | Scientific Reports - Nature
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Kriging-based surrogate data-enriching artificial neural network prediction of strength and permeability of permeable cement-stabilized base - Nature
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A hybrid sparrow optimization Kriging model and its application in geological modeling - Nature
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Research on a coal seam modeling construction method based on improved kriging interpolation - Nature
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A Kriging-Based Approach to Autonomous Experimentation with Applications to X-Ray Scattering | Scientific Reports - Nature
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Advances in Kriging-Based Autonomous X-Ray Scattering Experiments - Nature
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KITS: Inductive Spatio-Temporal Kriging with Increment Training Strategy - The Association for the Advancement of Artificial Intelligence
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A multiscale geographically weighted regression kriging method for spatial downscaling of satellite-based ozone datasets - Frontiers
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Using the Kriging Correlation for unsupervised feature selection problems - Nature
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Evaluation of Groundwater Levels in the Arapahoe Aquifer Using Spatiotemporal Regression Kriging - AGU Publications
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Ground settlement prediction for highway subgrades with sparse data using regression Kriging - Nature
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Kriging‐based robotic exploration for soil moisture mapping using a cosmic‐ray sensor - Wiley Online Library
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Separable spatio‐temporal kriging for fast virtual sensing - Wiley Online Library
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Research on multi-objective optimization method of Z-shaped pipeline structure based on Kriging model - Nature
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Comparison of parallel infill sampling criteria based on Kriging surrogate model - Nature
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Fast Bayesian Regression Kriging Method for Real-Time Merging of Radar, Rain Gauge, and Crowdsourced Rainfall Data - AGU Publications
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Prediction of nickel concentration in peri-urban and urban soils using hybridized empirical bayesian kriging and support vector machine regression - Nature
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Design and optimization of wall-climbing robot impeller by genetic algorithm based on computational fluid dynamics and kriging model - Nature
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A double fixed rank kriging approach to spatial regression models with covariate measurement error - Wiley Online Library
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Real-time hybrid simulation with multi-fidelity Co-Kriging for global response prediction under structural uncertainties - Wiley Online Library
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Adaptive ensemble spatial analysis - Nature
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Geostatistical analysis and multivariate assessment of groundwater quality - Nature
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Data Assimilation of High-Latitude Electric Fields: Extension of a Multi-Resolution Gaussian Process Model (Lattice Kriging) to Vector Fields - AGU Publications
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Bayesian Model Updating for Structural Dynamic Applications Combing Differential Evolution Adaptive Metropolis and Kriging Model | Journal of Structural Engineering | Vol 149, No 6 - ASCE Library
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Modeling and estimation of snow depth spatial correlation structure from observations over North America - Frontiers
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The accuracy of geostatistics for regional geomagnetic modeling in an archipelago setting - Nature
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CFD-Based Hemolysis Study of Fontan Cavopulmonary Assist Device Using Kriging Surrogate Modeling - Wiley Online Library
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A reliability-based robust optimization design for the drum brake using adaptive Kriging surrogate model - Wiley Online Library
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Machine tool FEM model correction assisted by dynamic evolution sequence - Nature
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Daily Plasmaspheric TEC Variations From COSMIC GPS Observations Based on RBF Neural Network-Kriging Method - AGU Publications
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Bias Correction of Ocean Bottom Temperature and Salinity Simulations From a Regional Circulation Model Using Regression Kriging - AGU Publications
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An active learning reliability algorithm using DMSSA-optimized Kriging model and parallel infilling strategy - Wiley Online Library
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3 Best Methods for Spatial Interpolation - Towards Data Science
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High dimensional reliability analysis based on combinations of adaptive Kriging and dimension reduction technique - Wiley Online Library
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An efficient hybrid reliability analysis method based on active learning Kriging model and multimodal-optimization-based importance sampling - Wiley Online Library
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A data driven approach in less expensive robust transmitting coverage and power optimization - Nature
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Experimental evaluation of CV-Voronoi based adaptive sampling for Kriging meta-modeling of multiple responses through real-time hybrid simulation - Wiley Online Library
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Spatial and temporal estimates of population exposure to wildfire smoke during the Washington state 2012 wildfire season using blended model, satellite, and in situ data - AGU Publications
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Fast EM-driven nature-inspired optimization of antenna input characteristics using response features and variable-resolution simulation models - Nature
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Using Multivariate Interpolation for Estimating Well Performance | Summer 2014 | ArcUser - Esri
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Identifying anomalous nuclear radioactive sources using Poisson kriging and mobile sensor networks - PLOS
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An Adaptive Weighting Algorithm for Interpolating the Soil Potassium Content - Nature
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Contaminant Plume delineation using geostatistics. - ArcGIS StoryMaps
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Spatio-temporal models to estimate daily concentrations of fine particulate matter in Montreal: Kriging with external drift and inverse distance-weighted approaches - Nature
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Accuracy and tractability of a kriging model of intramolecular polarizable multipolar electrostatics and its application to histidine - Wiley Online Library
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Utilising pykrige and matplotlib for Spatial Visualisation of Geological Variations - Towards Data Science
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Post-earthquake estimates of different ground motion intensity measures for the 2012 Emilia earthquake - Wiley Online Library
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Analyzing Risk for Radioactive Materials Using GIS - Geography Realm
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concentration mapping: a multidimensional perspective - Nature
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A slightly biased short history of geostatistics - SLB
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Bifidelity Surrogate Modelling: Showcasing the Need for New Test Instances - INFORMS PubsOnline
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Optimal design of rain gauge network in the Middle Yarra River catchment, Australia - Wiley Online Library
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Uncertainly in land value modeling of the San José Metropolitan Region, Costa Rica - scielo.sa.cr
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Batched, Multi-Dimensional Gaussian Process Regression with GPyTorch - Towards Data Science
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Interpolation of groundwater levels using kriging in Sagar district – A research report by National Institute of Hydrology - India Water Portal
Why This Topic Is Trending
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