data_frame_expected_cov: Dataframe for the expected covariance

In C-Juliette/randomfields: What the Package Does (One Line, Title Case)

Dataframe for the expected covariance

Description

Dataframe for the expected covariance

Usage

data_frame_expected_cov(
  sigma_Z,
  the_radius,
  the_directions,
  the_scale = 1,
  direction = TRUE
)

Arguments

sigma_Z	the standard error of the theoritical distribution
the_radius	the radius of the window of the moving average
the_directions	the directions we consider in a list ex : list(c(0,1), c(1, 1))
the_scale	how many km per pixels ?
direction	TRUE by default. reduce the direction into its director vector

Value

A dataframe with seven colomns : the distance between two points in pixels unit, this distance in km unit, the value of the expected covariance and expected correlation the considered direction, and the radius of the window of the moving average (in pixels and then km unit).

Examples

data_frame_expected_cov(1, c(1), list(c(0,1), c(1,1), c(1, 2)))

C-Juliette/randomfields documentation built on Sept. 3, 2023, 5:56 a.m.