Results 1 to 10 of about 1,562 (177)

An Overview of Kriging and Cokriging Predictors for Functional Random Fields

Mathematics, 2023
This article presents an overview of methodologies for spatial prediction of functional data, focusing on both stationary and non-stationary conditions.
Ramón Giraldo, Víctor Leiva, Cecilia Castro   +2 more
doaj   +5 more sources

A maximal-coverage approach to prioritizing newborn sickle cell screening sites in Uganda using a sickle cell-malaria co-risk surface [PDF]

Malaria Journal
Background Uganda has a high, spatially heterogeneous burden of sickle cell disease (SCD) with national screening indicating sickle cell trait at 13.1 percent and disease at 0.7 percent, concentrated in the northern and eastern regions where Plasmodium ...
George Paasi, Grace Ndeezi, Charles Kiyaga, Ruth Namazzi, Ezekiel Mupere, Ian Guyton Munabi, Sarah Kiguli, Richard Idro, Peter Olupot-Olupot   +8 more
doaj   +2 more sources

Separation Reliability Analysis for the Low-Shock Separation Nut with Mechanism Motion Failure Mode

Aerospace, 2022
A functional reliability simulation method based on the Kriging model is proposed to efficiently evaluate the functional reliability of low-shock separation nuts.
Lei Niu, Hongmao Tu, Haiping Dong, Nan Yan   +3 more
doaj   +1 more source

Functional Kriging for Spatiotemporal Modeling of Nitrogen Dioxide in a Middle Eastern Megacity

Atmosphere, 2022
Long-term hour-specific air pollution exposure estimates have rarely been of interest in epidemiological research. However, this can be relevant for studies that aim to estimate the residential exposure for the hours that subjects mostly spend time there,
Elham Ahmadi Basiri, Seyed Mahmood Taghavi-Shahri, Behzad Mahaki, Heresh Amini   +3 more
doaj   +1 more source

Parameter Analysis and Optimization of Annular Jet Pump Based on Kriging Model

Applied Sciences, 2020
Jet pump efficiency heavily relies on the geometrical parameters of the pump design and parameter global optimization in the full variable space is still a big challenge.
Kai Xu, Gang Wang, Liquan Wang, Feihong Yun, Wenhao Sun, Xiangyu Wang, Xi Chen   +6 more
doaj   +1 more source

Anomaly detection in geostatistical models with application to groundwater level data in the Gaza Coastal Aquifer [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2022
In geostatistics, the detection of anomalous observations has a particular importance because of the changes they can create in environmental and geological patterns. Few methods for detecting such observations in univariate data have been proposed for
Ali H. Abuzaid, Diana A. Aish, Maroua Benghoul   +2 more
doaj   +1 more source

D-STEM v2: A Software for Modeling Functional Spatio-Temporal Data

Journal of Statistical Software, 2021
Functional spatio-temporal data naturally arise in many environmental and climate applications where data are collected in a three-dimensional space over time.
Yaqiong Wang, Francesco Finazzi, Alessandro Fassò   +2 more
doaj   +1 more source

Prediction of spatial distribution characteristics of ecosystem functions based on a minimum data set of functional traits of desert plants

Frontiers in Plant Science, 2023
The relationship between plant functional traits and ecosystem function is a hot topic in current ecological research, and community-level traits based on individual plant functional traits play important roles in ecosystem function.
Yudong Chen, Yudong Chen, Yudong Chen, Jinlong Wang, Jinlong Wang, Jinlong Wang, Lamei Jiang, Lamei Jiang, Lamei Jiang, Hanpeng Li, Hanpeng Li, Hanpeng Li, Hengfang Wang, Hengfang Wang, Hengfang Wang, Guanghui Lv, Guanghui Lv, Guanghui Lv, Xiaotong Li, Xiaotong Li, Xiaotong Li   +20 more
doaj   +1 more source

Spatial prediction of soil infiltration using functional geostatistics

Acta Universitatis Carolinae Geographica, 2018
The infiltration of water into the soil is a necessary parameter for irrigation systems design. Characterizing its spatial behavior allows a site-specific management of water according to soil conditions and crop requirements. The aim of this study is to
Diego Leonardo Cortes-D, Jesus Hernan Camacho-Tamayo, Ramon Giraldo   +2 more
doaj   +1 more source

Cokriging Prediction Using as Secondary Variable a Functional Random Field with Application in Environmental Pollution

Mathematics, 2020
Cokriging is a geostatistical technique that is used for spatial prediction when realizations of a random field are available. If a secondary variable is cross-correlated with the primary variable, both variables may be employed for prediction by means ...
Ramón Giraldo, Luis Herrera, Víctor Leiva   +2 more
doaj   +1 more source