Proximity Index(vector data)

Calculate Proximity Index

vm_p_proxim(
  landscape,
  class_col = NULL,
  patch_col = NULL,
  n = 1000,
  progress = TRUE
)

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 grid points to generate

progress

TRUE/FALSE, whether to show progress bar

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

ratio between average distance from all points of equal-area circle to its center and average distance from all points of shape to its center

References

Angel, S., Parent, J., & Civco, D. L. (2010). Ten compactness properties of circles: Measuring shape in geography: Ten compactness properties of circles. The Canadian Geographer / Le Géographe Canadien, 54(4), 441–461. https://doi.org/10.1111/j.1541-0064.2009.00304.x

Examples

vm_p_proxim(vector_landscape, class_col = "class", n = 1000)
#> 
  |                                                                            
  |                                                                      |   0%
  |                                                                            
  |=======================                                               |  33%
  |                                                                            
  |===============================================                       |  67%
  |                                                                            
  |======================================================================| 100%
#> # A tibble: 3 × 5
#>   level class id    metric     value
#>   <chr> <chr> <chr> <chr>      <dbl>
#> 1 patch 1     1     proxim_idx 0.359
#> 2 patch 2     2     proxim_idx 0.661
#> 3 patch 3     3     proxim_idx 0.675