Collect all instances of all coordinates in one table. This complementary to the sc_path of
an object, since the number of coordinates per path gives a structural mapping into this set.
Collect all coordinates in one table, the path_link_vertex table has the information about the original grouping.
sc_coord(x, ...)
# S3 method for class 'list'
sc_coord(x, ...)
# Default S3 method
sc_coord(x, ...)
# S3 method for class 'matrix'
sc_coord(x, ...)
# S3 method for class 'ARC'
sc_coord(x, ...)
# S3 method for class 'PATH'
sc_coord(x, ...)
# S3 method for class 'TRI'
sc_coord(x, ...)
# S3 method for class 'PATH0'
sc_coord(x, ...)
# S3 method for class 'SC0'
sc_coord(x, ...)
# S3 method for class 'SC'
sc_coord(x, ...)
# S3 method for class 'sf'
sc_coord(x, ...)
# S3 method for class 'sfc'
sc_coord(x, ...)
# S3 method for class 'pslg'
sc_coord(x, ...)
# S3 method for class 'sfc_MULTILINESTRING'
sc_coord(x, ...)
# S3 method for class 'sfc_POLYGON'
sc_coord(x, ...)
# S3 method for class 'sfc_LINESTRING'
sc_coord(x, ...)
# S3 method for class 'sfc_MULTIPOINT'
sc_coord(x, ...)
# S3 method for class 'MULTIPOLYGON'
sc_coord(x, ...)
# S3 method for class 'POLYGON'
sc_coord(x, ...)
# S3 method for class 'MULTILINESTRING'
sc_coord(x, ...)
# S3 method for class 'LINESTRING'
sc_coord(x, ...)
# S3 method for class 'MULTIPOINT'
sc_coord(x, ...)
# S3 method for class 'POINT'
sc_coord(x, ...)
# S3 method for class 'Spatial'
sc_coord(x, ...)
# S3 method for class 'Polygons'
sc_coord(x, ...)
# S3 method for class 'Lines'
sc_coord(x, ...)data frame of all the coordinates in the order they occur
sc_path for the central part of the model, sc_object for
the features, and PATH for the full model.
sc_coord(minimal_mesh)
#> # A tibble: 19 × 2
#> x_ y_
#> <dbl> <dbl>
#> 1 0 0
#> 2 0 1
#> 3 0.75 1
#> 4 1 0.8
#> 5 0.5 0.7
#> 6 0.8 0.6
#> 7 0.69 0
#> 8 0 0
#> 9 0.2 0.2
#> 10 0.5 0.2
#> 11 0.5 0.4
#> 12 0.3 0.6
#> 13 0.2 0.4
#> 14 0.2 0.2
#> 15 0.69 0
#> 16 0.8 0.6
#> 17 1.1 0.63
#> 18 1.23 0.3
#> 19 0.69 0
sc_coord(SC(minimal_mesh))
#> # A tibble: 32 × 2
#> x_ y_
#> <dbl> <dbl>
#> 1 0 0
#> 2 0 1
#> 3 0 1
#> 4 0.75 1
#> 5 0.75 1
#> 6 1 0.8
#> 7 1 0.8
#> 8 0.5 0.7
#> 9 0.5 0.7
#> 10 0.8 0.6
#> # ℹ 22 more rows