extract_noNA_cov_values: Extract Non-NA Covariate Values

In glossa: User-Friendly 'shiny' App for Bayesian Species Distribution Models

Extract Non-NA Covariate Values

Description

This function extracts covariate values for species occurrences, excluding NA values.

Usage

extract_noNA_cov_values(data, covariate_layers, predictor_variables)

Arguments

data	A data frame containing species occurrence data with columns x/long (first column) and y/lat (second column).
covariate_layers	A list of raster layers representing covariates.
predictor_variables	Variables to select from all the layers.

Details

This function extracts covariate values for each species occurrence location from the provided covariate layers. It returns a data frame containing species occurrence data with covariate values, excluding any NA values.

Value

A data frame containing species occurrence data with covariate values, excluding NA values.

glossa documentation built on June 8, 2025, 1:20 p.m.