Results 21 to 30 of about 4,738 (165)

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

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

Soil organic matter mapping using INLA-SPDE with remote sensing based soil moisture indices and Fourier transforms decomposed variables

Geoderma, 2023
Lin Yang, Chenghu Zhou
exaly   +2 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   +1 more source

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

Incorporating Biotic Information in Species Distribution Models: A Coregionalized Approach

Mathematics, 2021
In this work, we discuss the use of a methodological approach for modelling spatial relationships among species by means of a Bayesian spatial coregionalized model.
Xavier Barber, David Conesa, Antonio López-Quílez , Joaquín Martínez-Minaya , Iosu Paradinas, Maria Grazia Pennino   +5 more
doaj   +1 more source

Estimating ambient air pollutant levels in Suzhou through the SPDE approach with R-INLA [PDF]

, 2021
Spatio–temporal models of ambient air pollution can be used to predict pollutant levels across a geographical region. These predictions may then be used as estimates of exposure for individuals in analyses of the health effects of air pollution ...
Newell, Katherine, Kartsonaki, Christiana, Lam, Kin, Chen, Zheng-Ming, Kurmi, Om; id_orcid, Lam, Kin Bong Hubert, Wright, Neil, Chen, Zhengming   +7 more
core   +1 more source

Using INLA to fit a complex point process model with temporally varying effects – a case study [PDF]

, 2012
Integrated nested Laplace approximation (INLA) provides a fast and yet quite exact approach to fitting complex latent Gaussian models which comprise many statistical models in a Bayesian context, including log Gaussian Cox processes. This paper discusses
Soerbye, S, Illian, Janine Baerbel, Sørbye, Sigrunn Holbek, Illian, Janine Barbel, Rue, Håvard, Hendrichsen, D, Rue, H, Hendrichsen, Ditte Katrine   +7 more
core   +2 more sources

Prediction and Surveillance Sampling Assessment in Plant Nurseries and Fields

Applied Sciences, 2022
In this paper, we propose a structured additive regression (STAR) model for modeling the occurrence of a disease in fields or nurseries. The methodological approach involves a Gaussian field (GF) affected by a spatial process represented by an ...
Nora C. Monsalve, Antonio López-Quílez
doaj   +1 more source