Results 101 to 110 of about 440,783 (177)

The soil moisture prediction map basing on ordinary kriging method.

, 2013
The soil moisture prediction map basing on ordinary kriging method.
Xueling Yao (287316), Min Liu (45756), Feixiang Sun (287319), Shuai Wang (109515), Bojie Fu (287317), Yihe Lü (287318)   +5 more
core   +1 more source

Short‐Term Effect of Air Pollutants on Sudden Unexpected Death in Infancy: A Case‐Crossover Study Based on the French National Registry

Paediatric and Perinatal Epidemiology, EarlyView.
ABSTRACT Background Sudden unexpected death in infancy (SUDI) remains poorly understood, and the potential contribution of air pollution exposure is largely unexplored. Given its known impact on infant health, air pollution may influence the risk of SUDI, particularly through short‐term effects.
Emmanuel Bourdet, Noémie Letellier, Tarik Benmarhnia, Johanna Lepeule, Bénédicte Jacquemin, Karine Levieux, Guillaume Barbalat, Itai Kloog, Rémi Béranger, David Boels   +9 more
wiley   +1 more source

PENERAPAN METODE ORDINARY KRIGING PADA PENDUGAAN KRIMINALITAS DI KOTA PEKANBARURIAU [PDF]

, 2018
Kriging sebagai analisa geostatistika digunakan dalam menduga suatu nilai dalam titik yang tidak tersampel berdasarkan titik-titik sampel yang berada disekitarnya dengan memperhitungkan korelasi spasial menggunakan suatu pembobot spasial,
R.RIF’A RISMAN
core   +1 more source

Accounting for Biases in the Analysis of Building Damage Data for the 2023 M7.8 Türkiye/Syria Earthquake Sequence

Earthquake Spectra, Volume 42, Issue 4, November 2026.
In the aftermath of a large earthquake, several practical constraints affect the systematic collection of data for assessing building damage. The available data are therefore typically incomplete, frequently missing key information such as the type of construction, age and geographic location.
Max Anderson Loake, Kishor S. Jaiswal
wiley   +1 more source

Regional Variance‐Based Sensitivity Analysis and a Study of Regional Equifinality

Risk Analysis, Volume 46, Issue 10, October 2026.
ABSTRACT Models in risk analysis frequently exhibit nonlinear behavior, thresholds, and regime shifts, which challenge conventional global sensitivity analysis (GSA) paradigms. Classical variance‐based methods quantify input importance over the entire output space, which can mask how these sensitivities vary across regions that are most relevant for ...
Justus Helo, Mariia Kozlova, Pamphile Roy, Julian Scott Yeomans   +3 more
wiley   +1 more source

Accuracy Analysis of Precipitation Regionalization Methods Based on Spatial Interpolation Techniques in Zayandeh-Rud River Basin

علوم آب و خاک, 2019
In the present study, we used 27 precipitation average monthly data from synoptic, climatologic, rain-guage and evaporative stations located in Zayandeh-Rud river basin for the period of 1970-2014.
M. A. Amini, G. Torkan, S. S. Eslamian, M. J. Zareian, A. A. Besalatpour   +4 more
doaj  

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

Deciphering the Link Between Modeling Errors and the North Atlantic Surface Warming Pattern Projected by CMIP5 and CMIP6 Models

Geophysical Research Letters, Volume 53, Issue 18, 28 September 2026.
Abstract The North Atlantic Subpolar Gyre (NASG) has warmed much less than the global ocean over recent decades, thereby suggesting a human‐caused slowdown of the Atlantic Meridional Overturning Circulation (AMOC). This North Atlantic “warming hole” is also found in climate projections, yet with a model‐dependent timing, location and intensity. Here we
Hervé Douville, George Whittle, Pascal Terray   +2 more
wiley   +1 more source

Area disease estimation based on Sentinel hospital records

, 2011
BackgroundPopulation health attributes (such as disease incidence and prevalence) are often estimated using sentinel hospital records, which are subject to multiple sources of uncertainty.
Zhong-Jie Li, Wang Dao-Chen, Sun, Qiao, Hong-Yan Chen, Sun Qiao, Hu, Mao-Gui, Christakos George, Mao-Gui Hu, Li, Zhong-Jie, Lai Sheng-Jie, Reis Ben Y., Sheng-Jie Lai, Chen, Hong-Yan, Xiao-Zhou Li, George Christakos, Wang Jin-Feng, Christakos, George, Yang, Wei-Zhong, Jin-Feng Wang, Li Xiao-Zhou, Wang, Dao-Chen, Hu Mao-Gui, Reis, Ben Y., Chen Hong-Yan, Ben Y. Reis, Wang, Jin-Feng, Yang, Yang, Qiao Sun, Dao-Chen Wang, Yang Wei-Zhong, Lai, Sheng-Jie, Ben Y Reis, Wei-Zhong Yang, Li Zhong-Jie, Li, Xiao-Zhou   +34 more
core   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

Polymer Composites, Volume 47, Issue 18, Page 16125-16154, 20 September 2026.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci, Denizhan Yavas, Alaeddin Burak Irez   +2 more
wiley   +1 more source