Description Usage Arguments Details Value Author(s) Examples
View source: R/Sim_Community.R
This function simulates a community with a certain abundance distribution and with intraspecific aggregation, i.e. individuals of the same species are distributed in clusters.
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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) |
sigma |
Mean displacement (along each coordinate axes) of a point from its mother point (= cluster centre). |
cluster_points |
Mean number of points per cluster. |
mother_points |
Number of mother points (= cluster centres). |
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) |
This function consecutively calls sim_sad
and
sim_thomas_coords
See the documentations of sim_sad
and
sim_thomas_coords
for details.
A community object as defined by community
Felix May
1 2 3 4 | com1 <- sim_thomas_community(s_pool = 20, n_sim = 500, sad_type = "lnorm",
sad_coef = list("meanlog" = 2, "sdlog" = 1),
sigma = 0.01)
plot(com1)
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