Spatio-Temporal Bayesian Modelling Using R


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Documentation for package ‘spTimer’ version 0.6

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spTimer-package Spatio-Temporal Bayesian Modelling using R
DataFit Ozone concentration data used for Model fitting.
DataFitFore Ozone concentration data used in Model validations for temporal forecast in the ovserved spatial locations.
DataValFore Ozone concentration data used in Model validations for temporal forecast in the unovserved spatial locations.
DataValPred Ozone concentration data used in Model validations for spatial interpolation.
NYdata Observations of ozone concentration levels, maximum temperature and wind speed.
plot.spT Plots for spTimer output.
predict.spT Spatial and temporal predictions for the spatio-temporal models.
spT.check.locations Distance Monitoring Function
spT.check.sites.inside Distance Monitoring Function
spT.data.selection Selection of Spatial data from a big dataset.
spT.decay Choice for sampling spatial decay parameter phi.
spT.geo.dist Geodetic/geodesic Distance
spT.geodist Geodetic/geodesic Distance
spT.geo_dist Geodetic/geodesic Distance
spT.Gibbs MCMC sampling for the spatio-temporal models.
spT.grid.coords Grid Coordinates
spT.initials Initial values for the spatio-temporal models.
spT.keep.morethan.dist Present one coordinate in a defined area for presentation
spT.pCOVER Nominal Coverage
spT.priors Priors for the spatio-temporal models.
spT.segment.plot Utility plot for prediction/forecast
spT.time Timer series information.
spT.validation Validation Commands
spTimer Spatio-Temporal Bayesian Modelling using R
summary.spT Summary statistics of the parameters.