filteringArena: Simulate a community assembled according to habitat filtering
In metricTester: Test Metric and Null Model Statistical Performance

Description Usage Arguments Details Value References Examples

Given a simulations.input object, will create an arena settled according to habitat filtering rules (and parameters defined by prepSimulations).

1	filteringArena(simulations.input)

simulations.input

A prepared simulations.input object from prepSimulations

This is the habitat filtering simulation that was used in our paper (reference below). In short, species have phylogenetically conserved spatial preferences, and individuals of those species are settled near that preferred location with a controllable degree of variation. Species' spatial preferences are smoothed to a uniform distribution. Thus, individuals are fairly evenly distributed throughout the simulated arena.

A list of 3 elements: the original input regional abundance vector, the new 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 <- filteringArena(prepped)