Largest patch index(vector data) — vm_c

This function allows you to calculate the maximal patch area of each class in relative to total landscape area in a categorical landscape in vector data format

vm_c_lpi(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 are 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_lpi(vector_landscape, "class")
#> # A tibble: 3 × 5
#>   level class id    metric value
#>   <chr> <chr> <chr> <chr>  <dbl>
#> 1 class 1     NA    lpi     17  
#> 2 class 2     NA    lpi     33.3
#> 3 class 3     NA    lpi     49.7