ENMeval (version 0.1.0)

enmeval_results: An object of class "ENMevaluation"

Description

An example results file based on a call of ENMevaluate (see example).

Usage

data(enmeval_results)

format

An object of class 'ENMevaluation' with eight slots:

@ results : data.frame of evaluation metrics

@ predictions : RasterStack of model predictions

@ partition.method: character giving method of data partitioning

@ occ.pts : data.frame of latitude and longitude of occurrence localities

@ occ.grp : data.frame of bins for occurrence localities

@ bg.pts : data.frame of latitude and longitude of background localities

@ bg.grp : data.frame of bins for background localities

@ overlap : matrix of pairwise niche overlap

Details

The dataset is based on the simulated dataset and call of ENMevaluate shown in the example section below.

Examples

### Simulated data environmental covariates
set.seed(1)
r1 <- raster(matrix(nrow=50, ncol=50, data=runif(10000, 0, 25)))
r2 <- raster(matrix(nrow=50, ncol=50, data=rep(1:100, each=100), byrow=TRUE))
r3 <- raster(matrix(nrow=50, ncol=50, data=rep(1:100, each=100)))
r4 <- raster(matrix(nrow=50, ncol=50, data=c(rep(1,1000),rep(2,500)),byrow=TRUE))
values(r4) <- as.factor(values(r4))
env <- stack(r1,r2,r3,r4)

### Simulate occurrence localities
nocc <- 50
x <- (rpois(nocc, 2) + abs(rnorm(nocc)))/11
y <- runif(nocc, 0, .99)
occ <- cbind(x,y)

### This gives the results that are loaded below:

enmeval_results <- ENMevaluate(occ, env, method='block', n.bg=500, 
			RMvalues=c(0.1, 1, 5), fc=c('L','LQ','LQP'), overlap=TRUE, clamp=T)

data(enmeval_results)
enmeval_results

### See table of evaluation metrics
enmeval_results@results

### Plot prediction with lowest AICc
plot(enmeval_results@predictions[[which (enmeval_results@results$delta.AICc == 0) ]])
points([e-mail], pch=21, bg= [e-mail])

### Niche overlap statistics between model predictions
enmeval_results@overlap