Results 11 to 20 of about 5,509 (173)

Using a Bayesian modelling approach (INLA-SPDE) to predict the occurrence of the Spinetail Devil Ray (Mobular mobular). [PDF]

Sci Rep, 2020
Abstract To protect the most vulnerable marine species it is essential to have an understanding of their spatiotemporal distributions. In recent decades, Bayesian statistics have been successfully used to quantify uncertainty surrounding identified areas of interest for bycatch species.
Lezama-Ochoa N, Pennino MG, Hall MA, Lopez J, Murua H.   +4 more
europepmc   +14 more sources

Spatially Dependent Bayesian Modeling of Geostatistics Data and Its Application for Tuberculosis (TB) in China

Mathematics, 2023
Geostatistics data in regions always have highly spatial heterogeneous, yet the regional features of the data itself cannot be ignored. In this paper, a novel latent Bayesian spatial model is proposed, which incorporates the spatial dependence of ...
Zongyuan Xia, Bo Tang, Long Qin, Huiguo Zhang, Xijian Hu   +4 more
doaj   +2 more sources

Bayesian Spatial Modelling with R-INLA [PDF]

Journal of Statistical Software, 2015
The principles behind the interface to continuous domain spatial models in the R- INLA software package for R are described. The integrated nested Laplace approximation (INLA) approach proposed by Rue, Martino, and Chopin (2009) is a computationally ...
Finn Lindgren, Håvard Rue
doaj   +4 more sources

Bayesian spatial modelling of Ebola outbreaks in Democratic Republic of Congo through the INLA-SPDE approach [PDF]

Zoonoses and Public Health, 2020
Abstract Ebola virus (EBV) disease is globally acknowledged public health emergence, which is endemic in the West and equatorial Africa. To understand the epidemiology especially the dynamic pattern of EBV disease, we analyse the EBV case notification data for confirmed cases and reported deaths of the ongoing outbreak in Democratic ...
Oyelola Adegboye, Ezra Gayawan, Adewale James, Adedayo Adegboye, Faiz Elfaki   +4 more
openaire   +4 more sources

Seabird Prey in Space and Time: Combining Multiple Datasets to Model the Distribution of Sandeel (<i>Ammodytes marinus</i>) and Sprat (<i>Sprattus sprattus</i>) in the North Sea. [PDF]

Ecol Evol
Forage fish are key prey and commercial species in the North Sea ecosystem, but estimates of their biomass over detailed spatial and temporal scales is currently limited. To fill this vital research gap we employ Hierarchical Bayesian spatiotemporal models of sandeel (Ammodytes marinus) and sprat (Sprattus sprattus) in the North Sea, providing fine ...
Benaksas S, Lynam C, Daunt F, Nnanatu CC, van der Kooij J, Webb TJ.   +5 more
europepmc   +2 more sources

Predictive intelligence for future vibriosis risk in the eastern United States employing Bayesian spatial modeling [PDF]

Applied and Environmental Microbiology
Vibrio spp. infections have increased significantly over recent decades. Advances in remote sensing and understanding of environmental parameters driving increased proliferation of pathogenic Vibrio spp. have enabled development of predictive risk models.
Bailey M. Magers, Sunil Kumar, Kyle D. Brumfield, Katherine Deliz Quiñones, Rita R. Colwell, Antarpreet S. Jutla   +5 more
doaj   +2 more sources

Multi-sensor INLA-SPDE Bayesian Flood Mapping: A United Nations Case Study

Treball de Final de Màster Universitari Erasmus Mundus en Tecnologia Geoespacial (Pla de 2022). Codi: SJL042.
Lozada Aguilar, Francisco Javier
core   +3 more sources

Spatial Regulation of Trait-Environment Interactions Shapes Plant Community Functional Patterns in a Tropical Forest. [PDF]

J Veg Sci
Disentangling trait‐environment relationships. ABSTRACT Question Inferring community assembly mechanisms requires an understanding of the responses of plant communities to environmental gradients and spatial processes. In a tropical forest, we asked: (1) What environmental gradients are associated with variation in community functional composition and ...
Kanagaraj R, Brockelman WY, Wiegand T, Nathalang A, Yang J, Tripathi NK, Chanthorn W.   +6 more
europepmc   +2 more sources

مدل‌بندی داده‌های فضایی-زمانی با گمشدگی غیرقابل چشم پوشی [PDF]

مدل‌سازی پیشرفته ریاضی, 2020
غلب داده‌های فضایی و فضایی-زمانی به واسطه شرایطی که تحت آن اندازه‌گیری‌ها صورت می‌گیرد حاوی مقادیر گمشده هستند. مقادیر گمشده‌ای که در فواصل مکانی یا زمانی نزدیک‌تر نسبت به مشاهدات قرار دارند شامل اطلاعات مفیدی هستند که درنظر گرفتن آن‌ها می‌تواند منجر به ...
محسن محمدزاده, سمیرا زحمت کش   +1 more
doaj   +1 more source

Modeling Influence of Soil Properties in Different Gradients of Soil Moisture: The Case of the Valencia Anchor Station Validation Site, Spain

Remote Sensing, 2021
The prediction of spatial and temporal variation of soil water content brings numerous benefits in the studies of soil. However, it requires a considerable number of covariates to be included in the study, complicating the analysis.
Ester Carbó, Pablo Juan, Carlos Añó, Somnath Chaudhuri, Carlos Diaz-Avalos, Ernesto López-Baeza   +5 more
doaj   +1 more source