MakeBinomStack: Function to create stack for presence only points

In oharar/PointedSDMs: Fit Models derived from Point Processes to Species Distributions using INLA

Function to create stack for presence only points

Description

Function to create stack for presence only points

Usage

MakeBinomStack(data, observs, tag = "points", intercept = TRUE, mesh,
  presname = "NPres", trialname = "Ntrials", coordnames = NULL,
  InclCoords = FALSE, polynoms = NULL, scale = FALSE)

Arguments

data	SpatialPointsDataFrame of covariates.
observs	SpatialPoints object of presences and trials.
tag	Name for tag for the stack (defaults to "points").
intercept	Boolean, should an intercept be added? Defaults to TRUE.
mesh	INLA mesh.
presname	Names of presences column in observs. Defaults to "NPres". Note that this column can also be logical.
trialname	Names of column of number of columns in observs. Defaults to "Ntrials", ignored if presences column is logical.
coordnames	Names of coordinates.
InclCoords	Boolean, shoiuld coordinates be included in data (defaults to FALSE).
polynoms	If not NULL, a SpatialPolygons object, with (for example) range maps.
scale	Should the distance be scaled by dividing by the mean of the non-zero distances? Defaults to FALSE, either logical or numeric. Ignored if polynoms is NULL.

Value

An INLA stack with binomial data: include Ntrials, which is the number of trials

oharar/PointedSDMs documentation built on July 11, 2022, 11:20 a.m.