Structural form requires only tables 'object' and 'vertex'.

Minimal columns is x,y but can be grouped by path_ for separate paths, then subobject_ and object_ for full polygon support.

PATH0(x, ...)

# S3 method for default
PATH0(x, ...)

# S3 method for PATH0
PATH0(x, ...)

PATH0_from_df(
  x,
  ...,
  path_ = "path_",
  object_ = "object_",
  subobject_ = "subobject_",
  x_ = "x",
  y_ = "y"
)

Arguments

x

data frame with at least x, y columns

...

ignored

path_

path identifier, these should identify individual paths

object_

object identifier (like group in ggplot)

subobject_

subobject identifier (like polygon_id with multipolygons in sfheaders)

x_

optional name for x column (assumed to be x)

y_

optional name for x column (assumed to be y)

Value

PATH0 model with tables 'object' and 'vertex'

Details

This function exists as a special-case for non-format input for PATH0(). It's expected there are columns x, y, and optionally object_, subobject_, and path_. These correspond to names in sfheaders, multipolygon_id, polygon_id, and linestring_id. (subobject is optional if not multipolygon).

Examples

(p <- PATH0(minimal_mesh))
#> class       : PATH0
#> type        : Sequential
#> vertices    : 14 (2-space)
#> paths       : 3 (1-space)
#> coordinates : 14
#> crs         : NA

p$object$topology_
#> Warning: Unknown or uninitialised column: `topology_`.
#> NULL
PATH0_from_df(data.frame(x = runif(10), y = runif(10)))
#> class       : PATH0
#> type        : Sequential
#> vertices    : 10 (2-space)
#> paths       : 1 (1-space)
#> coordinates : 10
#> crs         : NA