sim.points {ENMTools} | R Documentation |
Simulate a point process from an enmtools.model object
Description
Function that takes an enmtools.model
object and simulates points
from it using a point process.
Usage
sim.points(
object,
n.points = 1000,
seed = NA,
sample.type = "ppp",
replace = FALSE,
threshold = NA,
...
)
Arguments
object |
entools.model object to simulate from |
n.points |
approximate number of points to simulate. You may get small number fewer or greater. If you need an exact number of points, generate too many, then drop the extra ones. |
seed |
optional seed for the random number generator |
sample.type |
method for sampling occurrence points. Default is "ppp", which is a poisson point process. Also accepts "binomial" for treating suitabilities as binomial trials, "thresh.pa" for sampling with equal probability every grid cell above a certain threshold value, and "thresh.con" for sampling in proportion to suitability above a certain threshold value. |
replace |
whether to sample with replacement. |
threshold |
a threshold suitability below which probability of sampling drops to zero. Used for "thresh.pa" and "thresh.con" sampling. |
... |
additional parameters, not currently used but included for S3 compatability |
Value
A data frame of simulated points from the enmtools.model object