amt (version 0.2.2.0)

random_points: Generate random points

Description

Functions to generate random points within an animals home range. This is usually the first step for investigating habitat selection via Resource Selection Functions (RSF).

Usage

random_points(x, ...)
# S3 method for hr
random_points(x, n = 100, type = "random", presence = NULL, ...)
# S3 method for sf
random_points(x, n = 100, type = "random", presence = NULL, ...)
# S3 method for track_xy
random_points(x, level = 1, hr = "mcp", n = nrow(x) * 10, type = "random", ...)

Value

A tibble with the observed and random points and a new column case_ that indicates if a point is observed (case_ = TRUE) or random (case_ TRUE).

Arguments

x

[track_xy, track_xyt]
A track created with make_track.

...

[any]
None implemented.

n

[integer(1)]
The number of random points.

type

[character(1)]
Argument passed to sf::st_sample. The default is random.

presence

[track]
The presence points, that will be added to the result.

level

[numeric(1)]
Home-range level of the minimum convex polygon, used for generating the background samples.

hr

[character(1)]
The home range estimator to be used. Currently only MCP is implemented.

Examples

# \donttest{
data(deer)

# track_xyt ---------------------------------------------------------------
# Default settings
rp1 <- random_points(deer)

plot(rp1)

# Ten random points for each observed point
rp <- random_points(deer, n = nrow(deer) * 10)
plot(rp)

# Within a home range -----------------------------------------------------
hr <- hr_mcp(deer, level = 1)

# 100 random point within the home range
rp <- random_points(hr, n = 100)
plot(rp)

# 100 regular point within the home range
rp <- random_points(hr, n = 100, type = "regular")
plot(rp)
# 100 hexagonal point within the home range
rp <- random_points(hr, n = 100, type = "hexagonal")
plot(rp)
# }