Show correlation

## Usage

```
show_correlation(
data,
method = "pearson",
diag = TRUE,
labels = FALSE,
vjust = 0,
text_size = 15
)
```

## Arguments

- data
Tibble with results of as returned by the landscapemetrics package.

- method
Type of correlation. See

`link{cor}`

for details.- diag
If FALSE, values on the diagonal will be NA and not plotted.

- labels
If TRUE, the correlation value will be added as text.

- vjust
Will be passed on to ggplot2 as vertical justification of x-axis text.

- text_size
Text size of the plot.

## Details

The functions calculates the correlation between all metrics. In order
to calculate correlations, for the landscape level more than one landscape needs
to be present. All input must be structured as returned by the **landscapemetrics**
package.

For all metrics based on distances or areas please make sure your data is valid
using `check_landscape`

.

## Examples

```
landscape <- terra::rast(landscapemetrics::landscape)
metrics <- calculate_lsm(landscape, what = c("patch", "class"))
#> Warning: Please use 'check_landscape()' to ensure the input data is valid.
#> Warning: Class 1: PAFRAC = NA for class with < 10 patches
#> Warning: Class 3: PAFRAC = NA for class with < 10 patches
show_correlation(data = metrics, method = "pearson")
if (FALSE) {
metrics <- calculate_lsm(landscape, what = c("patch", "class"))
correlations <- calculate_correlation(metrics)
show_correlation(data = correlations, method = "pearson")
}
```