Simpson's evenness index (vector data) — vm_l

This function allows you to calculate the Simpson's evenness index in a categorical landscape in vector data format, Simpson's evenness index is diversity index. It is the ratio between the actual Simpson's diversity index and the theoretical maximum Simpson's diversity index

vm_l_siei(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 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_sidi(vector_landscape, "class")
#> # A tibble: 1 × 5
#>   level     class id    metric value
#>   <chr>     <chr> <chr> <chr>  <dbl>
#> 1 landscape NA    NA    sidi   0.613