sim.points: Simulate a point process from an enmtools.model object

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

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

ENMTools documentation built on April 11, 2023, 6:09 p.m.