On the choice of the mesh for the analysis of geostatistical data using R-INLA
, 2018 Many methods used in spatial statistics are computationally demanding, and so, the development of more computationally efficient methods has received attention.
Christel Faes (413583) +3 more
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Technical note: Accurate, reliable, and high-resolution air quality predictions by improving the Copernicus Atmosphere Monitoring Service using a novel statistical post-processing method [PDF]
Atmospheric Chemistry and PhysicsStarting from the regional air quality forecasts produced by the Copernicus Atmosphere Monitoring Service (CAMS), we propose a novel post-processing approach to improve and downscale results on a finer scale.
A. Riccio, A. Riccio, E. Chianese
doaj +1 more source
Environmental and Ecological StatisticsAbstractClimate 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 +8 more
openaire +2 more sources
Desempeño predictivo de R-INLA SPDE para el Mapeo Digital de Suelos [PDF]
, 2022 El mapeo digital de suelos (MDS) permite describir la variabilidad espacial de una propiedad edáfica a través de modelos de predicción espacial que explican la relación que existe entre la variable de interés y covariables sitio-especificas.
Macchiavelli, Raúl +4 more
core
Best management practices for bee conservation in forest openings
Conservation Science and PracticeNative 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 +3 more
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Evaluating PM2.5 Exposure Disparities Through Agent-Based Geospatial Modeling in an Urban Airshed
AirFine 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 +2 more
doaj +1 more source
Exploring HIV hotspots in Zambia and Zimbabwe: an analysis using the INLA-SPDE approach
In 2021, 25.6 million people living with HIV/AIDS resided in Sub-Saharan Africa (1). HIV is still a relevant topic, which explains why 10 of the 17 SDGs include actions and targets which can aid the most affected populations.
Arcaio, M., Parroco, A.M.
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Climate variability in South Africa is increasingly characterised by rising temperatures and changing rainfall patterns, posing challenges for climate risk assessment and adaptation planning.
Vagner G. Ferreira +3 more
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Spatio‐temporal data integration for species distribution modelling in R‐INLA
Methods in Ecology and EvolutionSpecies 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 +2 more
doaj +1 more source
Using the SPDE approach for air quality mapping in Piemonte region [PDF]
, 2011 In this work we consider a geostatistical spatio-temporal model for PM10 concentration (particulate matter with an aerodynamic diameter of less than 10 µm) in the North-Italian region Piemonte.
LINDGREN, FINN +3 more
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