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Roughness index(vector data)

Source: R/vm_c_rough_mn.R
vm_c_rough_mn.Rd

Calculate Roughness index (RI)

Usage

vm_c_rough_mn(landscape, class_col, n = 100)

Arguments

landscape

the input landscape image,

class_col

the name of the class 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

Mean roughness across all patches in each class. Roughness quantifies shape irregularity by measuring the variance in distances from boundary points to the centroid, normalized by area and perimeter. 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_c_rough_mn(vector_landscape, "class")
#> # A tibble: 3 × 5
#>   level class id    metric    value
#>   <chr> <chr> <chr> <chr>     <dbl>
#> 1 class 1     NA    rough_mn 0.148 
#> 2 class 2     NA    rough_mn 0.0641
#> 3 class 3     NA    rough_mn 0.0528