Results 51 to 60 of about 8,734 (183)
Bayesian spatial models are widely used to analyse data that arise in scientific disciplines such as health, ecology, and the environment. Traditionally, Markov chain Monte Carlo (MCMC) methods have been used to fit these type of models.
Noureen, Shahzeb Raja +5 more
core +1 more source
Information on the spatial distribution of soil organic carbon (SOC) in regional farmland is crucial for improving management and production. Mapping SOC in farmlands is challenging due to the strong variation of SOC caused by the influence of natural ...
Bifeng Hu +10 more
doaj +1 more source
A geostatistical model for combined analysis of point-level and area-level data using INLA and SPDEerri [PDF]
\ud \ud In this paper a Bayesian geostatistical model is presented for fusion of data obtained at point and areal resolutions. The model is fitted using the INLA and SPDE approaches.
Moraga, Paula +11 more
core +1 more source
ABSTRACT Aim This study aimed to test the effectiveness of a hierarchical, spatially explicit, Bayesian modelling framework combining Integrated Nested Laplace Approximation (INLA) with Stochastic Partial Differential Equation (SPDE) as an alternative to traditional Species Distribution Models (SDMs), particularly in cases where standard assumptions ...
Marco Gargano +8 more
wiley +1 more source
Using INLA to fit a complex point process model with temporally varying effects – a case study [PDF]
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 +7 more
core
Fitting complex ecological point process models with integrated nested Laplace approximation
Summary 1. We highlight an emerging statistical method, integrated nested Laplace approximation (INLA), which is ideally suited for fitting complex models to many of the rich spatial data sets that ecologists wish to analyse. 2.
Gallego-Fernández, Juan B. +9 more
core +1 more source
Abstract Urban areas alter the timings (phenologies) of seasonal processes for plants and animals, yet the effects on bird migration, particularly pre‐breeding migration, are not well understood. Higher temperatures, higher levels of artificial light at night, and earlier vegetation emergence in urban areas can advance spring seasonal processes ...
Carrie Ann Adams +4 more
wiley +1 more source
Assessing the risk of extreme precipitation in Japan through GEV distribution and spatial modeling
Study region: Japan, characterized by diverse climatic zones and complex topography, has experienced increasing frequency and severity of extreme precipitation events in recent decades.
Zhichao Jiao +3 more
doaj +1 more source
ABSTRACT Lepidocybium flavobrunneum [Smith, 1843], commonly known as escolar, is a large pelagic species, important for global and local fisheries, particularly in the southwestern South Atlantic Ocean (SWAO), where it constitutes a significant portion of the catch.
Lucas Rodrigues +15 more
wiley +1 more source
Objective To determine the sub-national seasonal prevalence and trends wasting from 2007 to 2010 among children under the age of five years in Somalia using remote sensing and household survey data from nutritional surveys by location.
Kinyoki, Damaris K. +21 more
core +1 more source

