Clustered sampling method — sample

Returns a function that performs clustered sampling on a spatial field. Cluster centers are randomly distributed, then samples are drawn within a buffer radius around each cluster.

sample_clustered(nclusters, radius, ...)

Arguments

nclusters: Number of clusters
radius: Cluster radius (in map units)
...: Additional arguments passed to terra::spatSample()

Value

A function that accepts x (SpatRaster) and size and returns an sf object

Examples

rast_grid = terra::rast(
  ncols = 300, nrows = 100,
  xmin = 0, xmax = 300,
  ymin = 0, ymax = 100
)

sam_field(rast_grid, 200, method = sample_clustered(nclusters = 5, radius = 10))
#> Simple feature collection with 200 features and 1 field
#> Geometry type: POINT
#> Dimension:     XY
#> Bounding box:  xmin: 12.5 ymin: 0.5 xmax: 276.5 ymax: 97.5
#> CRS:           NA
#> First 10 features:
#>    lyr.1          geometry
#> 1      1 POINT (27.5 90.5)
#> 2      1 POINT (20.5 85.5)
#> 3      1 POINT (20.5 92.5)
#> 4      1 POINT (22.5 86.5)
#> 5      1 POINT (22.5 91.5)
#> 6      1 POINT (20.5 93.5)
#> 7      1 POINT (27.5 86.5)
#> 8      1 POINT (26.5 95.5)
#> 9      1 POINT (13.5 95.5)
#> 10     1 POINT (17.5 80.5)