Spatio-Temporal Bayesian Modelling
Credible intervals for model parameters.
Extract model fitted values.
Observations of ozone concentration levels, maximum temperature and wi...
Plots for spTimer output.
Spatial and temporal predictions for the spatio-temporal models.
Choice for sampling spatial decay parameter .
Geodetic/geodesic Distance
MCMC sampling for the spatio-temporal models.
Grid Coordinates
Initial values for the spatio-temporal models.
Nominal Coverage
Priors for the spatio-temporal models.
Utility plot for prediction/forecast
Select a subset of Spatial data.
Timer series information.
Validation Commands
Validation Commands
Service functions and some undocumented functions for the spTimer libr...
Spatio-Temporal Bayesian Modelling using R
Summary statistics of the parameters.
Fits, spatially predicts and temporally forecasts large amounts of space-time data using [1] Bayesian Gaussian Process (GP) Models, [2] Bayesian Auto-Regressive (AR) Models, and [3] Bayesian Gaussian Predictive Processes (GPP) based AR Models for spatio-temporal big-n problems. Bakar and Sahu (2015) <doi:10.18637/jss.v063.i15>.