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 inte……続きを見る
The book is written for anyone who wants to design experiments, carry them out, and analyze the results. The authors provide a clear-cut, practical approach to designing experiments in any disciplin……続きを見る
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……続きを見る
Modeling spatial and spatio-temporal continuous processes is an important and challenging problem in spatial statistics. Advanced Spatial Modeling with Stochastic Partial Differential Equations Usin……続きを見る
