Bind multiple SpatVector
, sf/sfc
and data frames objects by row
Source: R/bind-rows-SpatVector.R
bind_rows.SpatVector.Rd
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.
Arguments
- ...
Objects to combine. The first argument should be a
SpatVector
and each of the subsequent arguments can either be aSpatVector
, asf/sfc
object or a data frame. Columns are matched by name, and any missing columns will be filled withNA
.- .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.
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 becbind
ed with empty geometries with a message.
See also
Other dplyr verbs that operate on pairs Spat*
/data.frame:
bind_cols.SpatVector
,
filter-joins.SpatVector
,
mutate-joins.SpatVector
Other dplyr methods:
arrange.SpatVector()
,
bind_cols.SpatVector
,
count.SpatVector()
,
distinct.SpatVector()
,
filter-joins.SpatVector
,
filter.Spat
,
glimpse.Spat
,
group-by.SpatVector
,
mutate-joins.SpatVector
,
mutate.Spat
,
pull.Spat
,
relocate.Spat
,
rename.Spat
,
rowwise.SpatVector()
,
select.Spat
,
slice.Spat
,
summarise.SpatVector()
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)
#>
#>
#>
#>
# }