Relative patch richness (vector data) — vm_l

This function allows you to calculate the Relative patch richness in a categorical landscape in vector data format, Relative patch richness is diversity index

vm_l_rpr(landscape, class_col, class_max)

Arguments

landscape: the input landscape image,
class_col: the name of the class column of the input landscape
class_max: the maximal number of class in your input landscape image

Value

the returned calculated index is in column "value", and this function returns also some important information such as level and metric name, Moreover, class number and the "id" column, although both are "NA" here in the landscape level

Examples

vm_l_rpr(vector_landscape, class_max = 3)
#> # A tibble: 1 × 5
#>   level     class id    metric value
#>   <chr>     <chr> <chr> <chr>  <dbl>
#> 1 landscape NA    NA    rpr     66.7