randomArena: Generate a random spatial arena
In metricTester: Test Metric and Null Model Statistical Performance

Description Usage Arguments Details Value References Examples

Given a simulations.input object, will create a randomly settled arena according to the parameters in the simulations.input object.

1	randomArena(simulations.input)

simulations.input

A prepared simulations.input object from prepSimulations

This function uses the log-normal regional abundance distribution to randomly assign abundances to species in the tree. It then draws from this regional abundance distribution to settle individuals at random in the landscape.

A list of 4 elements: the mean of the genetic distance matrix of the input phylogeny, the regional abundance vector (where each element is a species name, repeated as many times as is present in pool), the spatial arena, and the dimensions of that arena.

Miller, E. T., D. R. Farine, and C. H. Trisos. 2016. Phylogenetic community structure metrics and null models: a review with new methods and software. Ecography DOI: 10.1111/ecog.02070

tree <- geiger::sim.bdtree(b=0.1, d=0, stop="taxa", n=50)

prepped <- prepSimulations(tree, arena.length=300, mean.log.individuals=2, 
length.parameter=5000, sd.parameter=50, max.distance=20, proportion.killed=0.2,
competition.iterations=2)

test <- randomArena(prepped)