Learn R Programming

Bclim (version 3.1.0)

plot.climate_histories: Plots of posterior Bclim climate histories

Description

Create plots of climate histories from a Bclim run

Usage

"plot"(x, dim=1, layer_clouds=TRUE, chron=NULL, climate_ribbon=TRUE, most_representative=1, conf=c(0.95,0.75,0.5), col_clouds = grDevices::rgb(0,0,1,0.2), col_ribbon = grDevices::rgb(1,0,0,0.4), col_representative = grDevices::rgb(0,1,0), present_left=TRUE,...)

Arguments

x
The output of a Bclim run from climate_histories
dim
The chosen climate dimension. This could be GDD5 (dim=1), MTCO (dim=2) or AET/PET (dim=3)
layer_clouds
Whether to ploy the individual layer clouds (default TRUE)
chron
A chronology file (see climate_histories for details). Only required if layer_clouds=TRUE
climate_ribbon
Whether to plot the climate ribbon, i.e. the time slices quantiles (default=TRUE)
most_representative
The number of representative climate histories to plot. See Details section below. Can be set to zero if none are required
conf
The confidence levels of the layer clouds and the climate histories. Default is 95%, 75% and 50% shading
col_clouds
The colour of the climate clouds. Default is blue with 20% transparency
col_ribbon
The colour of the climate ribbon. Default is red with 40% transparency
col_representative
The colour of the representative climate histories. Default is green
present_left
Whether the present (i.e. 0 years before present) should be on the left or the right of the plot. Default is to put it on the left
...
Other arguments to the plot function, such as axis labels, titles etc

Value

No output, just a plot

Details

This function creates the default Bclim plots of climate histories and layer clouds from a Bclim run. Users can turn on or off the layer clouds and summaries of the the climate histories (the `climate ribbon'), and change the confidence level shown on the plots. The function also allows for a number of `representative histories' to be plotted. These are considered to be the climate histories that are the median distance away from the point-wise medians.

See Also

The main Bclim functions are layer_clouds and climate_histories.

For examples why not see the wonderful Bclim vignette (available at https://cran.r-project.org/web/packages/Bclim/index.html) and the authors personal webpage (http://mathsci.ucd.ie/~parnell_a/Bclim.html)?