View source: R/plot.speciesCharacteristics.R
plot_taxaCharacteristics | R Documentation |
Plot the distribution and responses of the studied taxa
plot_taxaCharacteristics(
x,
taxanames = x$inputs$taxa.name,
climate = x$parameters$climate,
col.density = viridis::plasma(20)[5:20],
col.climate = viridis::viridis(22)[3:20],
save = FALSE,
filename = "taxaCharacteristics.pdf",
as.png = FALSE,
png.res = 300,
width = 7.48,
w0 = 0.2,
height = 3 * length(climate) + h0,
h0 = 0.4,
add_modern = FALSE,
resol = getResol(x)
)
x |
A |
taxanames |
A list of taxa to use for the plot (default is all the recorded taxa). |
climate |
Climate variables to be used to generate the plot. By default all the variables are included. |
col.density |
The colour gradient to use to map the density of species (top left map). |
col.climate |
The colour gradient to use to map the climate gradients (left column). |
save |
A boolean to indicate if the diagram should be saved as a pdf file.
Default is |
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
|
as.png |
A boolean to indicate if the output should be saved as a png.
Default is |
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). |
w0 |
The width of the left column with the names. |
height |
The height of the output file in inches (default 3in ~ 7.6cm per variables). |
h0 |
The vertical space used for the x-axes. |
add_modern |
A boolean to add the location and the modern climate values
to the plot (default |
resol |
For advanced users only: if higher resolution data are used to
estimate the |
No return value, this function is used to plot.
## Not run:
data(crest_ex_pse)
data(crest_ex_selection)
reconstr <- crest.get_modern_data(
pse = crest_ex_pse, taxaType = 0, df = crest_ex,
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_taxaCharacteristics(reconstr, taxanames='Taxon1')
## End(Not run)
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