Random Declustering

Function for random points selection from grid cells in a spatial object

declstr_random(spatial_object, cellsize, numpoints)

Arguments

spatial_object	Object of class sfc or sf
cellsize	Target cellsize in map units
numpoints	Number of points that will be chosen from a grid cell

Value

Object of class sf

Examples

points4 = sf::st_read(system.file("points/punkty4.shp", package = "declusteringr"))
#> Reading layer `punkty4' from data source `C:\Users\Lenovo\AppData\Local\Temp\RtmpgxlZS1\temp_libpath1b4c671b41b4\declusteringr\points\punkty4.shp' using driver `ESRI Shapefile'
#> Simple feature collection with 200 features and 1 field
#> geometry type:  POINT
#> dimension:      XY
#> bbox:           xmin: -1775590 ymin: -5316527 xmax: -1642585 ymax: -5237789
#> epsg (SRID):    NA
#> proj4string:    +proj=tmerc +lat_0=0 +lon_0=19 +k=0.9993 +x_0=500000 +y_0=-5300000 +ellps=GRS80 +units=m +no_defs
x = declstr_random(spatial_object = points4, cellsize = 10000, numpoints = 2)
x
#> Simple feature collection with 159 features and 1 field
#> geometry type:  POINT
#> dimension:      XY
#> bbox:           xmin: -1774543 ymin: -5316527 xmax: -1642585 ymax: -5237789
#> epsg (SRID):    NA
#> proj4string:    +proj=tmerc +lat_0=0 +lon_0=19 +k=0.9993 +x_0=500000 +y_0=-5300000 +ellps=GRS80 +units=m +no_defs
#> First 10 features:
#>      id                  geometry
#> 50   49 POINT (-1757793 -5311478)
#> 68   67 POINT (-1764673 -5310663)
#> 177 176 POINT (-1748461 -5307808)
#> 4     3 POINT (-1748079 -5310699)
#> 56   55 POINT (-1745143 -5315420)
#> 64   63 POINT (-1733773 -5308707)
#> 16   15 POINT (-1725205 -5311317)
#> 28   27 POINT (-1708887 -5310775)
#> 59   58 POINT (-1705916 -5313721)
#> 195 194 POINT (-1698034 -5316527)