env.breadth: Calculates breadth of a model in environment space using...

In danlwarren/ENMTools: Analysis of Niche Evolution using Niche and Distribution Models

Calculates breadth of a model in environment space using latin hypercube sampling

Description

Calculates breadth of a model in environment space using latin hypercube sampling

Usage

env.breadth(model, env, tolerance = 1e-04, max.reps = 10, chunk.size = 1e+05)

Arguments

model	An enmtools.model object or a model object that can be projected using the predict() function
env	A raster, raster stack of environmental data, or a list of minima and maxima for the environmental space to evaluate models over.
tolerance	How close do successive overlap metrics have to be before we decide we're close enough to the final answer
max.reps	Maximum number of attempts that will be made to find suitable starting conditions
chunk.size	How many combinations of environmental variables to try at a time. If your niche breadth in environment space is small, increasing this value may help you get a result.

Value

A list containing the environmental space version of the B2 metric and a plot of B2 estimates as a function of sample size, used as a convergence diagnostic.

Examples

cyreni <- iberolacerta.clade$species$cyreni
cyreni.glm <- enmtools.glm(cyreni, euro.worldclim, test.prop = 0.2,
f = pres ~ bio1 + bio12, nback = 500)
env.breadth(cyreni.glm,  euro.worldclim)

danlwarren/ENMTools documentation built on April 23, 2024, 3:12 p.m.