|Authors:||Martin Schlather, Alexander Malinowski, Peter J. Menck, Marco Oesting, Kirstin Strokorb|
|Title:||Analysis, Simulation and Prediction of Multivariate Random Fields with Package RandomFields|
|Abstract:||Modeling of and inference on multivariate data that have been measured in space, such as temperature and pressure, are challenging tasks in environmental sciences, physics and materials science. We give an overview over and some background on modeling with crosscovariance models. The R package RandomFields supports the simulation, the parameter estimation and the prediction in particular for the linear model of coregionalization, the multivariate Matérn models, the delay model, and a spectrum of physically motivated vector valued models. An example on weather data is considered, illustrating the use of RandomFields for parameter estimation and prediction.|
Page views:: 6517. Submitted: 2013-05-29. Published: 2015-02-10.
Analysis, Simulation and Prediction of Multivariate Random Fields with Package RandomFields
This work is licensed under the licenses
Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.