DataValPred

A sub-set of the NYdata used for model validation.

datasets

The package is able to fit, spatially predict and
        temporally forecast 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.

Khandoker Shuvo Bakar

spTimer

Spatio-Temporal Bayesian Modelling Using R

DataValPred function

Columns: each contains 480 observations. 
	<ul><li>1st col = Site index (s.index),</li><li>2nd col = Longitude,</li><li>3rd col = Latitude,</li><li>4th col = Year (year),</li><li>5th col = Month (month),</li><li>6th col = Day (day),</li><li>7th col = Ozone (o8hrmax),</li><li>8th col = Maximum temperature (cMAXTMP),</li><li>9th col = Wind speed (WDSP).</li><li>10th col = Relative humidity (RH).</li></ul>

DataValPred: Ozone concentration data used in Model validations for spatial interpolation.

Description

Usage

Arguments

format

source

See Also

Examples