Bind rows (features) of sftime objects
Bind columns (variables) of sftime objects
Arguments
- ...
Objects to bind; note that for the
rbindandcbindmethods, all objects have to be of classsftime; seedotsMethods.- deparse.level
An integer value; see
rbind.- sf_column_name
Character value; specifies the active geometry column; passed on to
st_sftime.- tc_column_name
Character value; specifies active time column; passed on to
st_sftime.
Value
rbind combines all sftime objects in ...
row-wise and returns the combined sftime object.
cbind combines all sftime objects in ...
column-wise and returns the combined sftime object. When called with
multiple sftime objects warns about multiple time and geometry columns
present when the time and geometry columns to use are not specified by using
arguments tc_column_name and sf_column_name; see also
st_sftime.
Details
Both rbind and cbind have non-standard method dispatch
(see cbind): the rbind or cbind method for
sftime objects is only called when all arguments to be combined are of
class sftime.
If you need to cbind e.g. a data.frame to an sf,
use data.frame directly and use st_sftime on its
result, or use bind_cols; see examples.
Examples
g1 <- st_sfc(st_point(1:2))
x1 <- st_sftime(a = 3, geometry = g1, time = Sys.time())
g2 <- st_sfc(st_point(c(4, 6)))
x2 <- st_sftime(a = 4, geometry = g2, time = Sys.time())
rbind(x1, x2) # works because both tc1 and tc2 have the same class
#> Spatiotemporal feature collection with 2 features and 1 field
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: 1 ymin: 2 xmax: 4 ymax: 6
#> CRS: NA
#> Time column with classes: 'POSIXct', 'POSIXt'.
#> Ranging from 2023-09-01 10:23:21.595234 to 2023-09-01 10:23:21.600886.
#> a geometry time
#> 1 3 POINT (1 2) 2023-09-01 10:23:21
#> 2 4 POINT (4 6) 2023-09-01 10:23:21
if (FALSE) {
st_time(x2) <- 1
rbind(x1, x2) # error because both tc1 and tc2 do not have the same class
}
cbind(x1, x2)
#> Spatiotemporal feature collection with 1 feature and 3 fields
#> Active geometry column: geometry
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: 1 ymin: 2 xmax: 1 ymax: 2
#> CRS: NA
#> Time column with classes: 'POSIXct', 'POSIXt'.
#> Representing 2023-09-01 10:23:21.595234.
#> a a.1 time.1 geometry geometry.1 time
#> 1 3 4 2023-09-01 10:23:21 POINT (1 2) POINT (4 6) 2023-09-01 10:23:21
if (require(dplyr)) {
# returns a data frame because names of sf and time column are modified:
dplyr::bind_cols(x1, x2)
# returns an sf object because the name of the time column is modified:
dplyr::bind_cols(x1, x2 %>% sf::st_drop_geometry())
# returns an sftime object because names of sf and time column are both
# preserved:
dplyr::bind_cols(x1, x2 %>% st_drop_time() %>% sf::st_drop_geometry())
}
#> Loading required package: dplyr
#>
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#>
#> filter, lag
#> The following objects are masked from ‘package:base’:
#>
#> intersect, setdiff, setequal, union
#> New names:
#> • `a` -> `a...1`
#> • `geometry` -> `geometry...2`
#> • `time` -> `time...3`
#> • `a` -> `a...4`
#> • `geometry` -> `geometry...5`
#> • `time` -> `time...6`
#> New names:
#> • `a` -> `a...1`
#> • `time` -> `time...3`
#> • `a` -> `a...4`
#> • `time` -> `time...5`
#> New names:
#> • `a` -> `a...1`
#> • `a` -> `a...4`
#> Spatiotemporal feature collection with 1 feature and 2 fields
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: 1 ymin: 2 xmax: 1 ymax: 2
#> CRS: NA
#> Time column with classes: 'POSIXct', 'POSIXt'.
#> Representing 2023-09-01 10:23:21.595234.
#> a...1 a...4 geometry time
#> 1 3 4 POINT (1 2) 2023-09-01 10:23:21
df <- data.frame(x = 3)
st_sftime(data.frame(x1, df))
#> Spatiotemporal feature collection with 1 feature and 2 fields
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: 1 ymin: 2 xmax: 1 ymax: 2
#> CRS: NA
#> Time column with classes: 'POSIXct', 'POSIXt'.
#> Representing 2023-09-01 10:23:21.595234.
#> a x geometry time
#> 1 3 3 POINT (1 2) 2023-09-01 10:23:21