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Bind any number of SpatVector, data frames and sf/sfc objects by row, making a longer result. This is similar to do.call(rbind, dfs), but the output will contain all columns that appear in any of the inputs.

Usage

bind_spat_rows(..., .id = NULL)

Arguments

...

Objects to combine. The first argument should be a SpatVector and each of the subsequent arguments can either be a SpatVector, a sf/sfc object or a data frame. Columns are matched by name, and any missing columns will be filled with NA.

.id

The name of an optional identifier column. Provide a string to create an output column that identifies each input. The column will use names if available, otherwise it will use positions.

Value

A SpatVector of the same type as the first element of ....

terra equivalent

rbind() method

Methods

Implementation of the dplyr::bind_rows() function for SpatVector objects.

The first element of ... should be a SpatVector. Subsequent elements may be SpatVector, sf/sfc objects or data frames:

  • If subsequent SpatVector/sf/sfc objects present a different CRS than the first element, those elements would be reprojected to the CRS of the first element with a message.

  • If any element of ... is a tibble/data frame the rows would be cbinded with empty geometries with a message.

Examples


library(terra)
v <- vect(system.file("extdata/cyl.gpkg", package = "tidyterra"))

v1 <- v[1, "cpro"]
v2 <- v[3:5, c("name", "iso2")]

# You can supply individual SpatVector as arguments:
bind_spat_rows(v1, v2)
#>  class       : SpatVector 
#>  geometry    : polygons 
#>  dimensions  : 4, 3  (geometries, attributes)
#>  extent      : 2892687, 3180130, 2017622, 2361600  (xmin, xmax, ymin, ymax)
#>  coord. ref. : ETRS89-extended / LAEA Europe (EPSG:3035) 
#>  names       :  cpro     name  iso2
#>  type        : <chr>    <chr> <chr>
#>  values      :    05       NA    NA
#>                   NA     Leon ES-LE
#>                   NA Palencia  ES-P

# When you supply a column name with the `.id` argument, a new
# column is created to link each row to its original data frame
bind_spat_rows(v1, v2, .id = "id")
#>  class       : SpatVector 
#>  geometry    : polygons 
#>  dimensions  : 4, 4  (geometries, attributes)
#>  extent      : 2892687, 3180130, 2017622, 2361600  (xmin, xmax, ymin, ymax)
#>  coord. ref. : ETRS89-extended / LAEA Europe (EPSG:3035) 
#>  names       :    id  cpro     name  iso2
#>  type        : <chr> <chr>    <chr> <chr>
#>  values      :     1    05       NA    NA
#>                    2    NA     Leon ES-LE
#>                    2    NA Palencia  ES-P

# \donttest{
# Use with sf
sfobj <- sf::st_as_sf(v2[1, ])

sfobj
#> Simple feature collection with 1 feature and 2 fields
#> Geometry type: POLYGON
#> Dimension:     XY
#> Bounding box:  xmin: 2926589 ymin: 2233673 xmax: 3125372 ymax: 2361600
#> Projected CRS: ETRS89-extended / LAEA Europe
#>   name  iso2                       geometry
#> 1 Leon ES-LE POLYGON ((3049427 2233673, ...

bind_spat_rows(v1, sfobj)
#>  class       : SpatVector 
#>  geometry    : polygons 
#>  dimensions  : 2, 3  (geometries, attributes)
#>  extent      : 2926589, 3126360, 2017622, 2361600  (xmin, xmax, ymin, ymax)
#>  coord. ref. : ETRS89-extended / LAEA Europe (EPSG:3035) 
#>  names       :  cpro  name  iso2
#>  type        : <chr> <chr> <chr>
#>  values      :    05    NA    NA
#>                   NA  Leon ES-LE

# Would reproject with a message on different CRS
sfobj_3857 <- as_spatvector(sfobj) %>% project("EPSG:3857")

bind_spat_rows(v1, sfobj_3857)
#> ! Reprojecting object 2 in `...` since it  doesn't have the same CRS than object 1
#>  class       : SpatVector 
#>  geometry    : polygons 
#>  dimensions  : 2, 3  (geometries, attributes)
#>  extent      : 2926589, 3126360, 2017622, 2361600  (xmin, xmax, ymin, ymax)
#>  coord. ref. : ETRS89-extended / LAEA Europe (EPSG:3035) 
#>  names       :  cpro  name  iso2
#>  type        : <chr> <chr> <chr>
#>  values      :    05    NA    NA
#>                   NA  Leon ES-LE

# And with data frames with a message
data("mtcars")
bind_spat_rows(v1, sfobj, mtcars, .id = "id2")
#> ! Object 3 in `...` is <data.frame> 
#> The result would present empty geoms
#>  class       : SpatVector 
#>  geometry    : polygons 
#>  dimensions  : 34, 15  (geometries, attributes)
#>  extent      : -180, 3126360, -90, 2361600  (xmin, xmax, ymin, ymax)
#>  coord. ref. : ETRS89-extended / LAEA Europe (EPSG:3035) 
#>  names       :   id2  cpro  name  iso2   mpg   cyl  disp    hp  drat    wt
#>  type        : <chr> <chr> <chr> <chr> <num> <num> <num> <num> <num> <num>
#>  values      :     1    05    NA    NA    NA    NA    NA    NA    NA    NA
#>                    2    NA  Leon ES-LE    NA    NA    NA    NA    NA    NA
#>                    3    NA    NA    NA    21     6   160   110   3.9  2.62
#>  (and 5 more)
#>              
#>              
#>              
#>              


# Use lists
bind_spat_rows(list(v1[1, ], sfobj[1:2, ]))
#>  class       : SpatVector 
#>  geometry    : polygons 
#>  dimensions  : 3, 3  (geometries, attributes)
#>  extent      : -180, 3126360, -90, 2361600  (xmin, xmax, ymin, ymax)
#>  coord. ref. : ETRS89-extended / LAEA Europe (EPSG:3035) 
#>  names       :  cpro  name  iso2
#>  type        : <chr> <chr> <chr>
#>  values      :    05    NA    NA
#>                   NA  Leon ES-LE
#>                   NA    NA    NA

# Or named list combined with .id
bind_spat_rows(list(
  SpatVector = v1[1, ], sf = sfobj[1, ],
  mtcars = mtcars[1, ]
), .id = "source")
#> ! Object 3 in `...` is <data.frame> 
#> The result would present empty geoms
#>  class       : SpatVector 
#>  geometry    : polygons 
#>  dimensions  : 3, 15  (geometries, attributes)
#>  extent      : -180, 3126360, -90, 2361600  (xmin, xmax, ymin, ymax)
#>  coord. ref. : ETRS89-extended / LAEA Europe (EPSG:3035) 
#>  names       :     source  cpro  name  iso2   mpg   cyl  disp    hp  drat    wt
#>  type        :      <chr> <chr> <chr> <chr> <num> <num> <num> <num> <num> <num>
#>  values      : SpatVector    05    NA    NA    NA    NA    NA    NA    NA    NA
#>                        sf    NA  Leon ES-LE    NA    NA    NA    NA    NA    NA
#>                    mtcars    NA    NA    NA    21     6   160   110   3.9  2.62
#>  (and 5 more)
#>              
#>              
#>              
#>              
# }