Results 81 to 90 of about 609 (154)

Integrated Nested Laplace Approximations for Large-Scale Spatial-Temporal Bayesian Modeling

, 2023
Bayesian inference tasks continue to pose a computational challenge. This especially holds for spatial-temporal modeling where high-dimensional latent parameter spaces are ubiquitous.
Gaedke-Merzhäuser, Lisa, Janalik, Radim, Krainski, Elias, Rue, Håvard, Schenk, Olaf   +4 more
core  

Evaluating PM_2.5 Exposure Disparities Through Agent-Based Geospatial Modeling in an Urban Airshed

Air
Fine particulate matter (PM2.5) poses substantial urban health risks that vary across space, time, and population vulnerability. We integrate a spatio-temporal INLA–SPDE PM2.5 field with an agent-based model (ABM) of 10,000 daily home–work commuters in ...
Daniel P. Johnson, Gabriel Filippelli, Asrah Heintzelman   +2 more
doaj   +1 more source

Modelos bayesianos para modelos geoestadísticos. Mapeo digital de suelos con R-INLA [PDF]

, 2021
Tesis (Maestría en Estadística Aplicada) -- Universidad Nacional de Córdoba. Facultad de Ciencias Económicas. Escuela de Graduados; Argentina, 2021.El mapeo digital de suelos (MDS) permite describir la variabilidad espacial de una propiedad edáfica ...
Giannini Kurina, Franca
core  

Best management practices for bee conservation in forest openings

Conservation Science and Practice
Native bees are an ecologically diverse group of pollinators in global decline due at least in part to invasive species, pesticides, and habitat loss.
Michael J. Cunningham‐Minnick, Joan Milam, Aliza Fassler, David I. King   +3 more
doaj   +1 more source

Spatio‐temporal data integration for species distribution modelling in R‐INLA

Methods in Ecology and Evolution
Species distribution modelling is a highly used tool for understanding and predicting biodiversity change, and recent work has emphasised the importance of understanding how species distributions change over both time and space.
Fiona M. Seaton, Susan G. Jarvis, Peter A. Henrys   +2 more
doaj   +1 more source

Exploring the effects of temperature on demersal fish communities in the Central Mediterranean Sea using INLA-SPDE modeling approach

Environmental and Ecological Statistics
AbstractClimate change significantly impacts marine ecosystems worldwide, leading to alterations in the composition and structure of marine communities. In this study, we aim to explore the effects of temperature on demersal fish communities in the Central Mediterranean Sea, using data collected from a standardized monitoring program over 23 years ...
Rubino, Claudio, Adelfio, Giada, Abbruzzo, Antonino, Bosch-Belmar, Mar, Lorenzo, Manfredi Di, Fiorentino, Fabio, Gancitano, Vita, Colloca, Francesco, Milisenda, Giacomo   +8 more
openaire   +2 more sources

High-Resolution Spatiotemporal Forecasting with Missing Observations Including an Application to Daily Particulate Matter 2.5 Concentrations in Jakarta Province, Indonesia

Mathematics
Accurate forecasting of high-resolution particulate matter 2.5 (PM2.5) levels is essential for the development of public health policy. However, datasets used for this purpose often contain missing observations.
I Gede Nyoman Mindra Jaya, Henk Folmer
doaj   +1 more source

Geospatial analysis of immunisation outcomes in Nigeria using a Bayesian geostatistical approach and an interactive dashboard

Discover Public Health
Background Nigeria’s significant contribution to the global pool of zero-dose children persists despite ongoing immunisation investments. This coverage deficits in Kano and Lagos states serve as stark indicators of underlying structural and socio ...
Chijioke Kaduru, Idim Godwin, Olamide Akeboi, Karinate Cyril-Egware, Sharon Uzoma, Maduekwe Vivian, Ebuka Nwafia, Oshodi Esther, Tijjani Habib, Shehu Abdullahi, Rehanat Amusu, Jedydah Atieno, Koko Aadum, Ojonimi Alfred, Geraldine Mbagwu, Ganiyat Eshikhena, Ugomma Nyananyo, Josephina Obande, Ezra Gayawan   +18 more
doaj   +1 more source

Efficient Bayesian Hierarchical Small Area Population Estimation Using INLA-SPDE: Integrating Multiple Data Sources and Spatial-Autocorrelation

Statistical modelling approaches which produce fine spatial resolution population estimates have been developed to fill data gaps in resource-poor countries where census data are either outdated or incomplete. These population modelling methods often draw upon recent georeferenced sample population enumeration datasets to predict population density and
Chibuzor Christopher Nnanatu, Ortis Yankey, Anaclet D. Dzossa, Thomas Abbott, Assane Gadiaga, Attila Lazar, Andrew Tatem   +6 more
openaire   +1 more source

Leveraging Routine Health Facility Data for Space-Time Modelling of Malaria Incidence at the Catchment Level in Senegal [PDF]

Background: Achieving malaria elimination requires identifying hotspots and key risk factors to guide targeted interventions. In this context, spatial models are crucial to support decision making.
Diène, Aminata Niang, Linard, Catherine, Morlighem, Camille, Nnanatu, Chibuzor Christopher, Tine, Mame Wodji, Visée, Corentin   +5 more
core   +1 more source