columnParse: Column Parsing

In voluModel: Modeling Species Distributions in Three Dimensions

Column Parsing

Description

Parses column names from input occurrence data.frame for more seamless function

Usage

columnParse(occs, wDepth = FALSE)

Arguments

occs	A data.frame with at least two columns named "longitude" and "latitude" or that can be coerced into this format.
wDepth	Logical; flags whether a depth column should also be sought.

Details

This is an internal function to return the putative indices for latitude and longitude or x and y coordinates of occurrences to allow for code that is more robust to very common user error

Value

A list of length 2 with indices of the x and y columns, respectively, followed by a message with a plain text report of which columns were interpreted as x and y.

Examples

library(terra)

# Create sample raster
r <- rast(ncol=10, nrow=10)
values(r) <- 1:100

# Create test occurrences
set.seed(0)
longitude <- sample(ext(r)[1]:ext(r)[2],
                    size = 10, replace = FALSE)
set.seed(0)
latitude <- sample(ext(r)[3]:ext(r)[4],
                   size = 10, replace = FALSE)
set.seed(0)
depth <- sample(0:35, size = 10, replace = TRUE)
occurrences <- as.data.frame(cbind(longitude,latitude,depth))

# Here's the function
result <- columnParse(occs = occurrences[,1:2],
                      wDepth = FALSE)
result <- columnParse(occs = occurrences,
                      wDepth = TRUE)

voluModel documentation built on Sept. 11, 2024, 8:04 p.m.