Statistical Methods for Spatial and Spatio-Temporal Data Analysis provides a complete range of spatio-temporal covariance functions and discusses ways of constructing them. This book is a unified approach to modeling spatial and spatio-temporal data together with significant developments in statistical methodology with applications in R. This book includes: Methods for selecting valid covariance functions from the empirical counterparts that overcome the existing limitations of the traditional methods. The most innovative developments in the different steps of the kriging process. An up-to-date account of strategies for dealing with data evolving in space and time. An accompanying website featuring R code and examples... Distributions, Third Edition EVERITT, LANDAU, LEESE, and STAHLa Cluster Analysis, Fifth Edition FEDERER and KING a Variations on ... and SHIMIZU a Multivariate Statistics: High-Dimensional and Large-Sample Approximations FULLER a Introduction to Statistical Time ... THOMPSON, and HARRIS a Solutions Manual to Accompany Fundamentals of Queueing Theory, Fourth Edition * HAHN andanbsp;...
|Title||:||Spatial and Spatio-Temporal Geostatistical Modeling and Kriging|
|Author||:||Gema FernÃ¡ndez-Avilés, José M. Montero, Jorge Mateu|
|Publisher||:||John Wiley & Sons - 2015-08-17|