spp.plot {raptr} | R Documentation |
Plot species
Description
This function plots the distribution of species across the study area.
Usage
spp.plot(x, species, ...)
## S3 method for class 'RapData'
spp.plot(
x,
species,
prob.color.palette = "YlGnBu",
pu.color.palette = c("#4D4D4D", "#00FF00", "#FFFF00", "#FF0000"),
basemap = "none",
alpha = ifelse(identical(basemap, "none"), 1, 0.7),
grayscale = FALSE,
main = NULL,
force.reset = FALSE,
...
)
## S3 method for class 'RapUnsolved'
spp.plot(
x,
species,
prob.color.palette = "YlGnBu",
pu.color.palette = c("#4D4D4D", "#00FF00", "#FFFF00", "#FF0000"),
basemap = "none",
alpha = ifelse(basemap == "none", 1, 0.7),
grayscale = FALSE,
main = NULL,
force.reset = FALSE,
...
)
## S3 method for class 'RapSolved'
spp.plot(
x,
species,
y = 0,
prob.color.palette = "YlGnBu",
pu.color.palette = c("#4D4D4D", "#00FF00", "#FFFF00", "#FF0000"),
basemap = "none",
alpha = ifelse(basemap == "none", 1, 0.7),
grayscale = FALSE,
main = NULL,
force.reset = FALSE,
...
)
Arguments
x |
|
species |
|
... |
not used. |
prob.color.palette |
|
pu.color.palette |
|
basemap |
|
alpha |
|
grayscale |
|
main |
|
force.reset |
|
y |
|
Details
This function requires the RgoogleMaps package to be installed in order to create display a basemap.
Examples
## Not run:
# load RapSolved objects
data(sim_ru, sim_rs)
# plot first species in sim_ru
spp.plot(sim_ru, species = 1)
# plot "bimodal" species in sim_rs
spp.plot(sim_rs, species = "bimodal")
## End(Not run)