env.overlap: Calculates overlap between models in environment space using...

Description Usage Arguments Examples

View source: R/env.overlap.R

Description

Calculates overlap between models in environment space using latin hypercube sampling

Usage

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env.overlap(model.1, model.2, env, tolerance = 0.001, max.reps = 10,
  cor.method = "spearman", chunk.size = 1e+05)

Arguments

model.1

An enmtools.model object model object that can be projected using the predict() function

model.2

Another enmtools.model object or other 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

cor.method

Which method to use for calculating correlations between models

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.

Examples

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data(iberolacerta.clade)
data(euro.worldclim)
cyreni <- iberolacerta.clade$species$cyreni
monticola <- iberolacerta.clade$species$monticola
cyreni.glm <- enmtools.glm(cyreni, euro.worldclim, f = pres ~ bio1 + bio12, nback = 500)
monticola.glm <- enmtools.glm(monticola, euro.worldclim, f = pres ~ bio1 + bio12, nback = 500)
env.overlap(cyreni.glm, monticola.glm, euro.worldclim)

danlwarren/ENMTools documentation built on Sept. 9, 2018, 4:23 p.m.