Results 161 to 170 of about 8,734 (183)

Bayesian spatial modelling of geostatistical data using INLA and SPDE methods: A case study predicting malaria risk in Mozambique

Spatial and Spatio-temporal Epidemiology, 2021
Paula Moraga, Christopher Dean
exaly   +2 more sources

Bayesian Hierarchical Models for the Combination of Spatially Misaligned Data: A Comparison of Melding and Downscaler Approaches Using INLA and SPDE

Journal of Agricultural Biological and Environmental Statistics, 2023
The spatially misaligned data problem occurs when data at different spatial scales need to be combined. Bayesian hierarchical models such as melding and downscaler approaches are suitable to solve this problem but their application is limited when MCMC ...
Ruiman Zhong, Paula Moraga
semanticscholar   +2 more sources

A Bayesian Model for Estimating the Effects of Human Disturbance on Wildlife Habitats Based on Nighttime Light Data and INLA-SPDE

Applied Spatial Analysis and Policy, 2021
Nighttime light (NTL) data records the nocturnal emission signals of human activities and provides an accurate and continuous basis for the study of social and economic development. A new geostatistical model using NTL data is proposed to estimate the effects of human disturbance on wildlife habitats.
Changbai Xi, Zhao-ning Wu, Tianlu Qian, Lu Liu, Jie-chen Wang   +4 more
semanticscholar   +2 more sources

INLA-SPDE Models to Predict the Spatial Distribution of Beta-Hexachlorocycloexane Haematic Levels in a Heavily Polluted Area

ISEE Conference Abstracts, 2018
M. Scortichini, P. Michelozzi, S. Narduzzi, D. Porta, D. D’ippoliti, M. Davoli, M. Leone   +6 more
semanticscholar   +2 more sources

Environmental mapping using Bayesian spatial modelling (INLA/SPDE): A reply to Huang et al. (2017).

Science of The Total Environment, 2018
Geir-Arne Fuglstad, J. Beguin
semanticscholar   +3 more sources

Spatiotemporal analyses of extreme rainfall frequencies in Denmark via Bayesian hierarchical modelling using SPDE with INLA

Stochastic Environmental Research and Risk Assessment
Nafsika Antoniadou, Anders Stockmarr, Torben Schmith   +2 more
exaly   +2 more sources

[Spatial Prediction of Selenium in Soils by Using INLA-SPDE Approach and the Delimitation of Selenium-enriched Land with Low Heavy Metal Pollution Risk].

Huan jing ke xue= Huanjing kexue
Soil is the main medium for plants， animals， and humans to obtain the selenium element required for growth and development. Rapid economic development has caused serious soil heavy metal pollution， threatening soil environment and human health. Therefore， predicting the spatial distribution of soil selenium elements and delineating "clean and selenium ...
Wei Wang, Zheng Wang, Xiangcai Kong, Jian-Shu Lü   +3 more
semanticscholar   +3 more sources

Bayesian analysis of zero inflated spatiotemporal HIV/TB child mortality data through the INLA and SPDE approaches: Applied to data observed between 1992 and 2010 in rural North East South Africa

International Journal of Applied Earth Observation and Geoinformation, 2013
Longitudinal mortality data with few deaths usually have problems of zero-inflation. This paper presents and applies two Bayesian models which cater for zero-inflation, spatial and temporal random effects.
Eustasius Musenge, Kathleen Kahn, Penelope Vounatsou   +2 more
exaly   +2 more sources

Bayesian uncertainty quantification of spatio-temporal trends in soil organic carbon using INLA and SPDE

, 2020
The assumption of spatial and temporal stationarity does not hold for many ecological and environmental processes. This is particularly the case for many soil processes like carbon sequestration, often driven by factors such as biological dynamics ...
Nicolas P.A. Saby, T. Opitz, Bifeng Hu, B. Lemercier, H. Bourennane   +4 more
semanticscholar   +1 more source

Unveiling Eco-Epidemiological Risk Assessment through Bayesian Spatio-Temporal SPDE-INLA Approach

Jurnal Matematika Statistika dan Komputasi
Dengue hemorrhagic fever (DHF) remains a major public health burden in tropical areas. The DHF driven by nonlinear interactions, vector dynamics, and population density.
Mukhsar Mukhsar, I. Usman, Asrul Sani, La Gubu, M. Muzuni, Ruslan Majid, I. Sudayasa, Fahmiati Fahmiati   +7 more
semanticscholar   +1 more source