View source: R/Sim_Community.R
sim_poisson_community | R Documentation |
This function simulates a community with a certain abundance distribution and
and random spatial coordinates. This function consecutively calls
sim_sad
and sim_poisson_coords
sim_poisson_community(
s_pool,
n_sim,
sad_type = "lnorm",
sad_coef = list(cv_abund = 1),
fix_s_sim = FALSE,
xrange = c(0, 1),
yrange = c(0, 1),
seed = NULL
)
s_pool |
Number of species in the pool (integer) |
n_sim |
Number of individuals in the simulated community (integer) |
sad_type |
Root name of the species abundance distribution model of the
species pool (character) - e.g., "lnorm" for the lognormal distribution
( See the table in Details below, or |
sad_coef |
List with named arguments to be passed to the distribution
function defined by the argument In Please note that the parameters mu and sigma are not equal to the mean and standard deviation of the log-normal distribution. |
fix_s_sim |
Should the simulation constrain the number of species in the simulated local community? (logical) |
xrange |
Extent of the community in x-direction (numeric vector of length 2) |
yrange |
Extent of the community in y-direction (numeric vector of length 2) |
seed |
Integer. Any integer passed to |
A community object as defined by community
.
Felix May
com1 <- sim_poisson_community(s_pool = 20, n_sim = 500, sad_type = "lnorm",
sad_coef = list("meanlog" = 2, "sdlog" = 1))
plot(com1)
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