Cell Declustering

Function returns list of points with their weights and lengths from grid cell in spatial object

declstr_weighted(spatial_object, cellsize)

Arguments

spatial_object	Object of class sfc or sf
cellsize	Target cellsize in map units

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_weighted(spatial_object = points4, cellsize = 10000)
x
#> Simple feature collection with 200 features and 3 fields
#> 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
#> First 10 features:
#>     id received_weights lengths                  geometry
#> 172  0        13.333333       1 POINT (-1652995 -5254057)
#> 121  1         3.333333       4 POINT (-1655337 -5267243)
#> 139  2         3.333333       4 POINT (-1711804 -5262422)
#> 3    3         6.666667       2 POINT (-1748079 -5310699)
#> 187  4         6.666667       2 POINT (-1724664 -5244599)
#> 140  5         3.333333       4 POINT (-1712603 -5260028)
#> 179  6         6.666667       2 POINT (-1748891 -5241387)
#> 99   7         3.333333       4 POINT (-1767435 -5271677)
#> 150  8         6.666667       2 POINT (-1670705 -5260691)
#> 41   9         4.444444       3 POINT (-1649904 -5302388)