Roger Bivand is Professor of Geography in the Department of Economics at the Norwegian School of Economics, Bergen, Norway. Edzer Pebesma is Professor of Geoinformatics at Westfälische Wilhelms-Universität, Münster, Germany. Virgilio Gómez-Rubio is Associate Professor in the Department of Mathematics at Universidad de Castilla-La Mancha, Albacete, Spain
6 Ebooks by Virgilio Gomez-Rubio
Roger S. Bivand & Edzer J. Pebesma: Applied Spatial Data Analysis with R
We began writing this book in parallel with developing software for handling and analysing spatial data with R (R Development Core Team, 2008). – though the book is now complete, software development …
PDF
English
DRM
€66.99
Roger S. Bivand & Edzer Pebesma: Applied Spatial Data Analysis with R
Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of inter …
PDF
English
€96.29
Haakon Bakka & Daniela Castro-Camilo: Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using …
EPUB
English
DRM
€57.12
Haakon Bakka & Daniela Castro-Camilo: Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Using …
PDF
English
DRM
€57.05
Virgilio Gomez-Rubio: Bayesian inference with INLA
The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time required by typical Markov chain Monte Carlo (MCMC) methods. …
PDF
DRM
€57.38
Virgilio Gomez-Rubio: Bayesian inference with INLA
The integrated nested Laplace approximation (INLA) is a recent computational method that can fit Bayesian models in a fraction of the time required by typical Markov chain Monte Carlo (MCMC) methods. …
EPUB
DRM
€57.61
