This metric is based on categorical landscape in vector data format. The density is the number of patches of each class relative to the total landscape area. Then the number is standardised, so that the comparison among different landscape is possible.

vm_c_pd(landscape, class_col)

Arguments

landscape

the input landscape image,

class_col

the name of the class column of the input landscape

Value

the returned calculated density of each class is in column "value", and this function returns also some important information such as level, class number and metric name. Moreover, the "id" column, although it is just NA here at class level. we need it because the output struture of metrics at class level should correspond to patch level one by one, and then it is more convinient to combine metric values at different levels and compare them.

Examples

vm_c_pd(vector_landscape, "class")
#> # A tibble: 3 × 5
#>   level class id    metric value
#>   <chr> <chr> <chr> <chr>  <dbl>
#> 1 class 1     NA    pd     1111.
#> 2 class 2     NA    pd     1111.
#> 3 class 3     NA    pd     1111.