Plot the studied climate space.

plot_climateSpace(
x,
climate = x$parameters$climate,
bin_width = x$parameters$bin_width,
save = FALSE,
filename = "Climate_space.pdf",
as.png = FALSE,
png.res = 300,
width = 7.48,
height = min(9, 3.5 * length(climate)),
y0 = 0.5,
resol = 0.25
)

## Arguments

x

A crestObj generated by either the crest.calibrate, crest.reconstruct or crest functions.

climate

Climate variables to be used to generate the plot. By default all the variables are included.

bin_width

The width of the bins used to correct for unbalanced climate state. Use values that split the studied climate gradient in 15-25 classes (e.g. 2°C for temperature variables). Default is 1.

save

A boolean to indicate if the diagram should be saved as a pdf file. Default is FALSE.

filename

An absolute or relative path that indicates where the diagram should be saved. Also used to specify the name of the file. Default: the file is saved in the working directory under the name 'Climate_space.pdf'.

as.png

A boolean to indicate if the output should be saved as a png. Default is FALSE and the figure is saved as a pdf file.

png.res

The resolution of the png file (default 300 pixels per inch).

width

The width of the output file in inches (default 7.48in ~ 19cm).

height

The height of the output file in inches (default 3in ~ 7.6cm per variables).

y0

The space to allocate to each title (default 0.3in ~ 0.76 cm.

A boolean to add the location and the modern climate values to the plot (default FALSE).

resol

For advanced users only: if higher resolution data are used to estimate the pdfs, use this parameter to define the resolution of the maps maps on the figures. (default is 0.25 degrees to match with the default database).

## Value

No return value, this function is used to plot.

## Examples

if (FALSE) {
data(crest_ex_pse)
data(crest_ex_selection)
reconstr <- crest.get_modern_data(
pse = crest_ex_pse, taxaType = 0,
climate = c("bio1", "bio12"),
selectedTaxa = crest_ex_selection, dbname = "crest_example"
)
reconstr <- crest.calibrate(reconstr,
geoWeighting = TRUE, climateSpaceWeighting = TRUE,
bin_width = c(2, 20), shape = c("normal", "lognormal")
)
plot_climateSpace(reconstr)
}