Roughness index(vector data) — vm_p

Calculate Roughness index (RI)

vm_p_rough(landscape, class_col = NULL, patch_col = NULL, n = 100)

Arguments

landscape: the input landscape image,
class_col: the name of the class column of the input landscape
patch_col: the name of the id column of the input landscape
n: number of boundary points to generate

Value

the function returns tibble with the calculated values in column "value", this function returns also some important information such as level, class, patch id and metric name.

Details

to be added...

References

Basaraner, M., & Cetinkaya, S. (2017). Performance of shape indices and classification schemes for characterising perceptual shape complexity of building footprints in GIS. International Journal of Geographical Information Science, 31(10), 1952–1977. https://doi.org/10.1080/13658816.2017.1346257

Examples

vm_p_rough(vector_patches, "class", "patch", n = 100)
#> # A tibble: 40 × 5
#>    level class id    metric    value
#>    <chr> <chr> <chr> <chr>     <dbl>
#>  1 patch 1     11    rough_idx 0.467
#>  2 patch 1     12    rough_idx 0.562
#>  3 patch 1     13    rough_idx 0.493
#>  4 patch 1     14    rough_idx 0.534
#>  5 patch 1     15    rough_idx 0.843
#>  6 patch 1     16    rough_idx 0.847
#>  7 patch 1     17    rough_idx 0.833
#>  8 patch 1     18    rough_idx 0.815
#>  9 patch 1     19    rough_idx 0.863
#> 10 patch 1     20    rough_idx 0.810
#> # ℹ 30 more rows