Roughness index(vector data)

Calculate Roughness index (RI)

Usage

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

Roughness quantifies shape irregularity by measuring the variance in distances from boundary points to the centroid. Calculated as the squared mean distance from boundary points to centroid, normalized by area and perimeter. The scaling constant is based on Basaraner & Cetinkaya (2017). Higher values indicate more irregular, complex boundaries.

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 0.480
#>  2 patch 1     12    rough_idx 0.553
#>  3 patch 1     13    rough_idx 0.457
#>  4 patch 1     14    rough_idx 0.564
#>  5 patch 1     15    rough_idx 0.863
#>  6 patch 1     16    rough_idx 0.810
#>  7 patch 1     17    rough_idx 0.861
#>  8 patch 1     18    rough_idx 0.839
#>  9 patch 1     19    rough_idx 0.827
#> 10 patch 1     20    rough_idx 0.828
#> # ℹ 30 more rows