Results 111 to 120 of about 6,225 (246)

ooDACE toolbox: a flexible object-oriented Kriging implementation [PDF]

, 2014
When analyzing data from computationally expensive simulation codes, surrogate modeling methods are firmly established as facilitators for design space exploration, sensitivity analysis, visualization and optimization.
Couckuyt, Ivo, Demeester, Piet, Dhaene, Tom   +2 more
core  

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

Comparative Study of Regional Estimation Methods for Daily Maximum Temperature (A Case Study of the Isfahan Province)

مجله آب و خاک, 2016
Introduction: As the statistical time series are in short period and the meteorological station are not distributed well in mountainous area determining of climatic criteria are complex.
Ghamar Fadavi, Javad Bazarafshan
doaj   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source

How Accurately Do Species Distribution Models Predict the Expansion of Invasive Insects, and Does Climate Data Choice Matter? Insights From the Invasion of Dryocosmus kuriphilus

Journal of Applied Entomology, EarlyView.
ABSTRACT Species distribution models (SDMs) are widely used to predict the spread of invasive species, yet their accuracy over time and the influence of climate data resolution remain unclear. Here, we examine the capacity of SDMs to predict the distribution and short‐term expansion of the invasive gall wasp Dryocosmus kuriphilus, and compare the ...
José Carlos Pérez‐Girón, Fernando Castedo‐Dorado, María Josefa Lombardero, Pedro Álvarez‐Álvarez   +3 more
wiley   +1 more source

Sediment transport and depositional hydrodynamics on the eastern Korean continental margin revealed by surface sediment granulometry

Sedimentology, EarlyView.
ABSTRACT Terrigenous sediments are transported from coastal areas and shelves to deeper continental margins by multiple processes. Understanding these processes is critical for evaluating the ecological impacts of fine‐grained sediment deposition and predicting future changes in sediment dispersal under rapid climate change.
Gyu Tae Sim, Jang Jun Bahk, Haedo Baek, Jun Ho Jang, In Kwon Um, Dong Eun Lee   +5 more
wiley   +1 more source

Anti‐Astrotropik — Outer Space, Technology and Resistance in the Tropics

Singapore Journal of Tropical Geography, EarlyView.
This paper traces an intellectual and geographical arc of thinking about outer space in the tropics, connecting Peter Redfield's Space in the Tropics: From Convicts to Rockets in French Guiana (2000), Sean T. Mitchell's Constellations of Inequality: Space, Race, and Utopia in Brazil (2017) and Asif Siddiqi's Cosmic Fragments: Dislocation and Discontent
Rob Krawczyk
wiley   +1 more source

Information Diffusion Interpolation Model Based on the PSO-CV Algorithm and Its Application on Source Regions of the Yellow River

Renmin Zhujiang, 2021
The spatial interpolation based on the limited observation data of precipitation stations is an effective means to explore the spatial characteristics of precipitation.This paper briefly introduces a spatial interpolation model based on the information ...
HUANG Huaping, YIN Kaixia, JIN Gaoyang
doaj  

Scalable sparse co-Kriging for multi-fidelity data fusion: An application to aerodynamics

Reliability Engineering & System Safety
Multi-fidelity Kriging surrogate modeling combines data of varying accuracy, such as experimental tests and numerical simulations, to improve predictive performance. Autoregressive models are commonly used to capture correlations across fidelity levels, offering interpretability compared to purely data-driven approaches.
Castaño-Aguirre, Mauricio, López-Lopera, Andrés F., Bartoli, Nathalie, Massa, Franck, Lefebvre, Thierry   +4 more
openaire   +2 more sources

Simulation‐Informed Evaluation of Microvascular Parameter Mapping for Diffusion MR Imaging of Solid Tumours

Magnetic Resonance in Medicine, Volume 96, Issue 1, Page 387-402, July 2026.
ABSTRACT Purpose We aim to inform the design of new diffusion MRI (dMRI) approaches for microvasculature quantification that enhance the biological specificity of imaging towards cancer. Methods We adopted simulation‐informed modelling of the vascular dMRI signal. We synthesised signals from 1500 synthetic vascular networks, for a variety of protocols (
Anna Kira Voronova, Olivia Prior, Athanasios Grigoriou, Francesc Salvà, Elena Elez, Luz M. Atlagich, Roser Sala‐Llonch, Marco Palombo, Els Fieremans, Dmitry S. Novikov, Raquel Perez‐Lopez, Francesco Grussu   +11 more
wiley   +1 more source