10.6084/m9.figshare.7503554.v1 Ana Julia Righetto Ana Julia Righetto Christel Faes Christel Faes Yannick Vandendijck Yannick Vandendijck Paulo Justiniano Ribeiro Jr. Paulo Justiniano Ribeiro Jr. On the choice of the mesh for the analysis of geostatistical data using R-INLA Taylor & Francis Group 2018 Geostatistics integrated nested Laplace approximation mesh stochastic partial differential equation 2018-12-22 07:39:18 Online resource https://tandf.figshare.com/articles/online_resource/On_the_choice_of_the_mesh_for_the_analysis_of_geostatistical_data_using_R-INLA/7503554 <p>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 SPDE approach that requires the creation of a mesh overlying the study area and all the obtained results depend on it. The impact of the mesh on inference and prediction is investigated through simulations. As there is no formal procedure to specify it, we investigate a guideline to create an optimal mesh.</p>