plotExceed.lgcpPredict: plotExceed.lgcpPredict function

In bentaylor1/lgcp: Log-Gaussian Cox Process

Description

Function for plotting exceedance probabilities stored in lgcpPredict ojects.

Usage

## S3 method for class 'lgcpPredict'
plotExceed(obj, fun, nlevel = 64, ask = TRUE,
  plotcases = FALSE, mapunderlay = NULL, alpha = 1, ...)

Arguments

obj	an object
fun	the name of the function used to compute exceedances (character vector of length 1). Note that the named function must be in memory.
nlevel	number of colour levels to use in plot, default is 64
ask	whether or not to ask for a new plot between plotting exceedances at different thresholds.
plotcases	whether or not to plot the cases on the map
mapunderlay	optional underlay to plot underneath maps of exceedance probabilities. Use in conjunction with rainbow parameter 'alpha' (eg alpha=0.3) to set transparency of exceedance layer.
alpha	graphical parameter takign values in [0,1] controlling transparency of exceedance layer. Default is 1.
...	additional arguments passed to image.plot

Value

plot of exceedances

See Also

lgcpPredict, MonteCarloAverage, setoutput

Examples

## Not run: exceedfun <- exceedProbs(c(1.5,2,4))
## Not run: 
    plot(lg,"exceedfun") # lg is an object of class lgcpPredict
                         # in which the Monte Carlo mean of
                         # "exceedfun" was computed
                         # see ?MonteCarloAverage and ?setoutput

## End(Not run)

bentaylor1/lgcp documentation built on May 12, 2019, 2:09 p.m.