The coefficient of variation of number of disjunct core areas in each class (vector data)

This function allows you to calculate the coefficient of variation of each class belonging to one class in a categorical landscape in vector data format

Usage

vm_c_dcore_cv(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 coefficient of variation in 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_dcore_cv(vector_landscape, "class", edge_depth = 1)
#> # A tibble: 3 × 5
#>   level class id    metric   value
#>   <chr> <chr> <chr> <chr>    <dbl>
#> 1 class 1     NA    dcore_cv    NA
#> 2 class 2     NA    dcore_cv    NA
#> 3 class 3     NA    dcore_cv    NA