linear_interpolation: Linear interpolation

In prioritizr: Systematic Conservation Prioritization in R

Linear interpolation

Description

Linearly interpolate values between two thresholds.

Usage

linear_interpolation(
  x,
  coordinate_one_x,
  coordinate_one_y,
  coordinate_two_x,
  coordinate_two_y
)

Arguments

x	numeric x values for which interpolate y values.
coordinate_one_x	numeric value for lower x-coordinate.
coordinate_one_y	numeric value for lower y-coordinate.
coordinate_two_x	numeric value for upper x-coordinate.
coordinate_two_y	numeric value for upper y-coordinate.

Details

Values are log-linearly interpolated at the x-coordinates specified in x using the lower and upper coordinate arguments to define the line. Values lesser or greater than these numbers are assigned the minimum and maximum y coordinates.

Value

A numeric vector.

Examples

## Not run: 
# create series of x-values
x <- seq(0, 1000)

# interpolate y-values for the x-values given the two reference points:
# (200, 100) and (900, 15)
y <- loglinear_interpolation(x, 200, 100, 900, 15)

# plot the interpolated values
plot(y ~ x)

# add the reference points to the plot (shown in red)
points(x = c(200, 900), y = c(100, 15), pch = 18, col = "red", cex = 2)

## End(Not run)

prioritizr documentation built on Nov. 10, 2025, 5:07 p.m.