Results 81 to 90 of about 5,732 (193)
geoCount: An R Package for the Analysis of Geostatistical Count Data
We describe the R package geoCount for the analysis of geostatistical count data. The package performs Bayesian analysis for the Poisson-lognormal and binomial-logitnormal spatial models, which are subclasses of the class of generalized linear spatial ...
Liang Jing, Victor De Oliveira
doaj +1 more source
Identifying the climatic drivers of honey bee disease in England and Wales
Honey bee colony health has received considerable attention in recent years, with many studies highlighting multifactorial issues contributing to colony losses.
Ben W. Rowland +4 more
doaj +1 more source
On the choice of the mesh for the analysis of geostatistical data using R-INLA
Many methods used in spatial statistics are computationally demanding, and so, the development of more computationally efficient methods has received attention. A important development is the integrated nested Laplace approximation method which is carry out Bayesian analysis more efficiently This method, for geostatistical data, is done considering the
Ana Julia Righetto +3 more
openaire +2 more sources
XGBoost Meets INLA: A Two‐Stage Spatio‐Temporal Forecasting of Wildfires in Portugal
ABSTRACT Wildfires pose a major threat to Portugal, with over 115,000 hectares burned annually on average during 1980–2024, and the country has faced devastating mega‐fires such as those in 2017. Accurate forecasts of wildfire occurrence and burned area are therefore essential for firefighting resource allocation and emergency preparedness.
Chenglei Hu +5 more
wiley +1 more source
Suffolk County, New York, is a locus for West Nile virus (WNV) infection in the American northeast that includes the majority of Long Island to the east of New York City.
Mark H. Myer +2 more
doaj +1 more source
ABSTRACT Holothurian populations in the Mediterranean are relatively understudied, with limited knowledge of their spatial distribution, habitat preferences, and ecological dynamics, making their monitoring a key challenge for ecosystem assessment and sustainable management.
Daniele Poggio +6 more
wiley +1 more source
Causal Inference for Geostatistical Data Using an INLA‐based Spatial Propensity Score
ABSTRACT In this paper, we propose a Bayesian approach for spatial causal inference based on combining spatial propensity scoring with Integrated Nested Laplace Approximation. The method models both local and spillover exposure effects via multiple likelihoods and treats counterfactuals as missing data, allowing inference also for non‐Gaussian outcomes.
Chiara Di Maria +3 more
wiley +1 more source
Background Prostate cancer (CaP) cases are high in the United States. According to the American Cancer Society, there are an estimated number of 174,650 CaP new cases in 2019.
Justice Moses K. Aheto +2 more
doaj +1 more source
ABSTRACT Background Alcoholic cardiomyopathy (ACM) poses a significant global health challenge, yet its impact on elderly populations across regions remains underexplored. Methods Using Global Burden of Disease (GBD) 2021 data sourced from the official visualization platform, we analyzed ACM burden among individuals aged ≥ 60 years across 204 countries
Siyi Xu +7 more
wiley +1 more source
Should you use data integration for your distribution model?
This paper explores cases where data integration (the joint modelling of two or more observational datasets) is useful for species distribution models, and also highlights cases where it's actually not useful. This provides the first concrete guidance for deciding whether or not data integration is worth your time.
Benjamin R. Goldstein +3 more
wiley +1 more source

