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 +5 more
doaj +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 +3 more
core +2 more sources
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 +11 more
core +1 more source
Spatial heterogeneity in exposure to Brucella suis and pathogenic leptospires in feral pigs across New South Wales. [PDF]
Aust Vet JFeral pigs (Sus scrofa) are important reservoirs for zoonotic and livestock pathogens in Australia, but robust information on the spatial distribution of pathogens in pig populations remains limited. We analysed serological data from a systematic, state‐wide surveillance program to investigate spatial heterogeneity in exposure to Brucella suis and ...
Bengsen AJ +10 more
europepmc +2 more sources
A data fusion model for meteorological data using the INLA-SPDE method [PDF]
Journal of the Royal Statistical Society Series C: Applied StatisticsAbstract We present a data fusion model designed to address the problem of sparse observational data by incorporating numerical forecast models as an additional data source to improve predictions of key variables. This model is applied to two main meteorological data sources in the Philippines.
Stephen Jun Villejo +3 more
openaire +2 more sources
Methods in Ecology and Evolution, 2023 Step selection analysis (SSA) is a common framework for understanding animal movement and resource selection using telemetry data. Such data are, however, inherently autocorrelated in space, a complication that could impact SSA‐based inference if left ...
Rafael Arce Guillen +5 more
doaj +1 more source
Spatiotemporal modeling of traffic risk mapping: A study of urban road networks in Barcelona, Spain [PDF]
, 2022 Accidents on the road have always been a major concern in modern society. According to the World Health Organization, globally road traffic collisions are one of the leading and fastest growing causes of disability and death. The present research work is
Varga, Diego +9 more
core +1 more source
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
Forecasting deforestation in the Brazilian Amazon to prioritize conservation efforts
Environmental Research Letters, 2021 As Amazon deforestation rates reach the highest levels observed in the past decade, it is extremely important to direct conservation efforts to regions containing preserved forests with a high risk of deforestation.
Rodolfo Jaffé +9 more
doaj +1 more source
Enhancing the SPDE modeling of spatial point processes with INLA, applied to wildfires. Choosing the best mesh for each database [PDF]
, 2019 Wildfires play an important role in shaping landscapes and as a source of CO2 and particulate matter, and are a typical spatial point process studied in many papers.
Juan, Pablo
core +1 more source