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Landscape shape index (vector data)

Source: R/vm_l_lsi.R
vm_l_lsi.Rd

This function allows you to calculate the ratio between the actual edge length and the hypothetical minimum edge length in a categorical landscape in vector data format. The minimum edge length equals the edge length if the landscape would be maximally aggregated into a circle.

Usage

vm_l_lsi(landscape)

Arguments

landscape

the input landscape image,

Value

the returned calculated index are 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

Details

LSI is calculated as: LSI = TE / (2 * pi * sqrt(A/pi)) where TE is the total edge (in meters) and A is the total landscape area (in square meters). This uses circle standardization, which is more natural for vector data. An LSI of 1 indicates a perfectly circular landscape. The boundary is included in the calculation (count_boundary=TRUE).

Examples

vm_l_lsi(vector_landscape)
#> # A tibble: 1 × 5
#>   level     class id    metric value
#>   <chr>     <chr> <chr> <chr>  <dbl>
#> 1 landscape NA    NA    lsi     4.67