optOccThresh: Create binary presence/ absence predictions from...

In robboyd/soaR:

Create binary presence/ absence predictions from probabilities of occurrence.

Description

This function optimises a threshold probability above which a grid cell is classed as a presence, and below which it is classed as an absence. Optimisation is achieved by maximising the proportion of data correctly classified.

Usage

optOccThresh(inPath, group, species, outPath, map, presAb)

Arguments

inPath	String. Path to the ensemble model outputs.
group	string. Taxonomic group. There must be a file in inPath.
species	String. There must be a file in inPath called /<group>/<species>.asc.
outPath	String. Where to store the outputs.
map	Logical. If true writes an ascii file to outPath.
presAb	String. Presence/ pseudo absence data created by createPresAb for the chosen group.

Value

A dataframe with four columns: Threshold probability of occurrence, species and group. Optionally a raster can be written to file.

robboyd/soaR documentation built on April 24, 2022, 9:44 a.m.