Results 101 to 110 of about 41,613 (278)
Remote 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
Benchmarking Knowledge-assisted Kriging for Automated Spatial Interpolation of Wind Measurements
- We have benchmarked a novel knowledge-assisted kriging algorithm that allows regions of spatial cohesion to be specified and variograms calculated for each region.
Zlatev, Zlatko +2 more
core +1 more source
Kriging-based Finite Element Method for Analyses of Reissner-Mindlin Plates [PDF]
, 2006 A class of finite element method using kriging shape functions is developed to analyze Reissner-Mindlin plates. The shape functions are constructed using kriging interpolation (KI) over a set of nodes encompassing a number of layers of elements.
Tjong, Wong Foek +1 more
core
Diagnostics of an Aircraft Engine Pumping Unit Using a Hybrid Approach based-on Surrogate Modeling [PDF]
, 2013 This document introduces a hybrid approach for fault detection and identification of an aircraft engine pumping unit. It is based on the complementarity between a model-based approach accounting for uncertainties aimed at quantifying the degradation ...
Jean-Remi Masse +5 more
core +1 more source
Groundwater 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
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 +2 more
wiley +1 more source
Geostatistical models for environmental datasets [PDF]
, 2006 Nelle scienze ambientali il modo in cui ogni singolo dato viene elaborato e interpretato riveste un ruolo importantissimo per la comprensione della complessità dei fenomeni naturali.
Sammartino, Simone
core +1 more source
Kriging-Based Design of Experiments for Multi-Source Exposure–Response Studies in Nanotoxicology
, 2017 For the sustainable development of nanomaterials (NMs), it is critical to assess the toxic potency of NMs. One of the major challenges with toxicology studies of NMs, compared to traditional materials or chemicals, lies in the large NM variety (or source
Feng Yang (132135) +4 more
core +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 +3 more
wiley +1 more source
ISPRS International Journal of Geo-InformationIntegrating spatio-temporal kriging with machine learning improves estimation accuracy by addressing complex spatial and temporal variations in spatio-temporal phenomena.
Min Jeong, Hyeongmo Koo
doaj +1 more source