Results 101 to 110 of about 5,509 (173)

Enhancing Digital Mapping of Soil Organic Matter in Cropland With Bayesian‐Machine Learning Synergy

International audienceA comprehensive understanding of the spatial distribution of soil organic matter (SOM) is essential for conserving soil fertility, ensuring food security and supporting sustainable agricultural management. Among digital soil mapping
Wang, Zheng, Zhuo, Zhiqing, Yao, Sijia, Chen, Qianqian, Chen, Songchao, Ma, Wanzhu, Zhu, Jun   +6 more
core   +1 more source

Bayesian spatiotemporal modelling of wildfire occurrences and sizes for projections under climate change: A step-by-step marked point process approach using INLA-SPDE

Appropriate spatiotemporal modelling of wildfire activity is crucial for its prediction and risk managements. Here, we focus on wildfire risk in the Aquitaine region in the Southwest of France and its projection under climate change.
Dupuy, Jean-Luc, Legrand, Juliette, Pimont, François, Opitz, Thomas   +3 more
core   +1 more source

Bayesian spatio-temporal disaggregation modeling using a diffusion-SPDE approach: A case study of Aerosol Optical Depth in India

Accurate estimation of Aerosol Optical Depth (AOD) is crucial for understanding climate change and its impacts on public health, as aerosols are a measure of air quality conditions.
Moraga, Paula, Avellaneda, Fernando Rodriguez, Paula Moraga, Fernando Rodriguez Avellaneda   +3 more
core   +1 more source

Migration-adjusted lung cancer burden in China: a population data-based Bayesian spatial modeling approach. [PDF]

JNCI Cancer Spectr
Hao S, Li G, Sun H, Du L, Zhang Y, Wang X, Wang T, Li Q.   +7 more
europepmc   +1 more source

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

ISEE Conference Abstracts, 2018
Matteo Scortichini, Paola Michelozzi, Silvia Narduzzi, Daniela Porta, Daniela D'Ippoliti, Marina Davoli, Michela Leone   +6 more
openaire   +1 more source

Generating geochemical and mineralogy distributions of soil in the conterminous United States using Bayesian hierarchical spatial models. [PDF]

MethodsX
Bondo KJ, Wolf TM, Walter WD.
europepmc   +1 more source

Modeling the Spatiotemporal Distribution of Atlantic Cod (Gadus morhua) in Icelandic Waters Using INLA-SPDE

This study models the spatiotemporal distribution of Atlantic cod (Gadus morhua) biomass in Icelandic waters using the annual Icelandic spring groundfish survey data from 1985 to 2024.
Yang Han 1991-
core  

Geostatistical point process modelling of HIV prevalence using disease progression and CD4 cell count dynamics. [PDF]

iScience
Chireshe E, Chifurira R, Batidzirai JM, Chinhamu K, Kharsany ABM.   +4 more
europepmc   +1 more source

Socio-environmental assessment of Aedes aegypti distribution and risk of chikungunya in vulnerable community. [PDF]

PLoS Negl Trop Dis
Cruz JS, Argibay HD, Nery N, Mogaji H, Barreto TDM, Batista LES, Silva LRS, Nery VK, Ferreira VCD, Carneiro IO, López YAA, Reis MG, Ko AI, Diggle P, Begon M, Costa F, Khalil H.   +16 more
europepmc   +1 more source

Nondestructive individual tree aboveground biomass estimation using a hierarchical Bayesian approach in combination with individual tree competition indices. [PDF]

Plant Phenomics
Zhang Z, Zhao Y, Zhen Z, Zhao Y, Li J, Zhou Y.   +5 more
europepmc   +1 more source