Results 71 to 80 of about 12,654 (214)

Kriging Surrogate Models for Predicting the Complex Eigenvalues of Mechanical Systems Subjected to Friction-Induced Vibration

open access: yesShock and Vibration, 2016
This study focuses on the kriging based metamodeling for the prediction of parameter-dependent mode coupling instabilities. The high cost of the currently used parameter-dependent Complex Eigenvalue Analysis (CEA) has induced a growing need for ...
E. Denimal   +3 more
doaj   +1 more source

Reconnaissance‐Scale Methods for the Identification of Groundwater Discharge to Streams

open access: yesGroundwater Monitoring &Remediation, EarlyView.
Abstract Identifying groundwater discharge locations is critical for understanding and monitoring groundwater contributions to streams in terms of water quantity and quality. Streams and rivers are under increasing strain from factors, including increased urbanization, agricultural land use, groundwater extraction, and climate change, which can alter ...
Corey M. Zanatta   +2 more
wiley   +1 more source

Kriging-Based Atmospheric Phase Screen Compensation Incorporating Time-Series Similarity in Ground-Based Radar Interferometry

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Accuracy of radar interferometry is often hindered by the atmospheric phase screen (APS). To address this limitation, the geostatistical approach known as Kriging has been employed to predict APS from sparse observations for compensation purposes.
Yuta Izumi   +5 more
doaj   +1 more source

Post-processing Kriging with External Drift Estimates [PDF]

open access: yesGeologia USP. Série Científica, 2009
Kriging with an external drift has been used for estimating a poorly sampled variable based on an exhaustively sampledsecondary variable. Even considering the information coming from secondary data, the estimates present smaller variancethan the sample ...
Jorge Kazuo Yamamoto
doaj  

Computationally Efficient Ranking of Sampling Locations by Redundancy in Groundwater Monitoring Networks

open access: yesGroundwater Monitoring &Remediation, EarlyView.
Abstract The long‐term and frequent sampling of groundwater monitoring networks is common practice for monitoring the concentrations of constituents of potential concern (CoPC) over space and time. Sampling can be a costly and time‐intensive process that also incurs health and safety risks. A redundancy‐based ranking of candidate sampling locations can
Peter Radvanyi   +5 more
wiley   +1 more source

COMBINING NEURAL NETWORKS AND GEOSTATISTICS FOR LANDSLIDE HAZARD ASSESSMENT OF SAN SALVADOR METROPOLITAN AREA, EL SALVADOR

open access: yesRevista de Matemática: Teoría y Aplicaciones, 2017
This contribution describes the creation of a landslide hazard assessment model for San Salvador, a department in El Salvador. The analysis started with an aerial photointerpretation from Ministry of Environment and Natural Resources of El Salvador (MARN
Ricardo Ríos   +3 more
doaj   +1 more source

On Spatial Point Processes With Composition‐Valued Marks

open access: yesInternational 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   +2 more
wiley   +1 more source

Feasibility of Applying Kriging for Earthquake Ground Motion Intensity Measures in South Korea

open access: yesApplied Sciences
Estimating ground motion parameters at an unsampled site is challenging for seismologists and engineers alike. An attempt is made to apply Kriging interpolation to estimate peak ground accelerations at specific nuclear power plant sites.
Eric Yee, Jung-ho Kim
doaj   +1 more source

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

open access: yesInternational 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   +3 more
wiley   +1 more source

A Geostatistical Approach to Estimate High Resolution Nocturnal Bird Migration Densities from a Weather Radar Network

open access: yesRemote Sensing, 2019
Quantifying nocturnal bird migration at high resolution is essential for (1) understanding the phenology of migration and its drivers, (2) identifying critical spatio-temporal protection zones for migratory birds, and (3) assessing the risk of collision ...
Raphaël Nussbaumer   +5 more
doaj   +1 more source

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