The mean value of core area index at class level(vector data)

This function allows you to calculate the mean value of ratio of the core area and the area belonging to one class in a categorical landscape in vector data format

vm_c_cai_mn(landscape, class_col, edge_depth)

Arguments

landscape

the input landscape image,

class_col

the name of the class column of the input landscape

edge_depth

the fixed distance to the edge of the patch

Value

the returned calculated mean value of core area index 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_cai_mn(vector_landscape, "class", edge_depth = 1)
#> # A tibble: 3 × 5
#>   level class id    metric value
#>   <chr> <chr> <chr> <chr>  <dbl>
#> 1 class 1     NA    cai_mn  16.0
#> 2 class 2     NA    cai_mn  28.0
#> 3 class 3     NA    cai_mn  34.9