Skip to contents

Correlation table for terrain variables

Source: R/modeling-helpers.R
terrain_correlation.Rd

Computes pairwise correlations among numeric terrain variables.

Usage

terrain_correlation(
  data,
  vars = NULL,
  method = "pearson",
  use = "pairwise.complete.obs"
)

Arguments

data

A data frame.

vars

Optional character vector of numeric variables.

method

Correlation method passed to stats::cor().

use

Missing-value handling passed to stats::cor().

Value

A tibble with variable pairs and correlation coefficients.

See also

terrain_pca()

Examples

bathy <- read_bathy(blueterra_example("bathy"))
terrain <- derive_terrain(bathy, metrics = c("slope", "bpi", "roughness"))
cells <- sample_terrain_cells(terrain, size = 30)
terrain_correlation(cells)
#> # A tibble: 6 × 3
#>   var1      var2      correlation
#>   <chr>     <chr>           <dbl>
#> 1 slope_deg bpi_3x3        -0.185
#> 2 slope_deg bpi_11x11      -0.104
#> 3 bpi_3x3   bpi_11x11       0.560
#> 4 slope_deg roughness       0.937
#> 5 bpi_3x3   roughness      -0.221
#> 6 bpi_11x11 roughness      -0.144