sf_to_df() converts a simple feature object to a data.frame by dropping
geometry or, using get_coords(), converting geometry to well known text, or
(if the geometry type is not POINT) getting coordinates for a centroid or
point on surface. If an sfc object is provided,the "drop" geometry option is
not supported.
df_to_sf() converts a data.frame to a simple feature object using a
geometry column (named "geometry"), address column (name matching the address
parameter), well known text column (named "wkt"), or coords (must have
columns matching coords values). Related helper functions include
check_coords() to suggest the appropriate coordinate column names based on
the column names in the provided data frame; has_coords() to check if a
data frame has the specified coordinates.
Usage
sf_to_df(
x,
crs = 4326,
coords = c("lon", "lat"),
geometry = "centroid",
keep_all = TRUE
)
df_to_sf(
x,
crs = NULL,
coords = c("lon", "lat"),
from_crs = 4326,
into = NULL,
sep = ",",
rev = TRUE,
remove_coords = FALSE,
geo = FALSE,
address = "address",
y = NULL,
by = NULL,
...,
as_tibble = TRUE,
.name_repair = "unique",
call = caller_env()
)Arguments
- x
A
sforsfcobject or a data frame with lat/lon coordinates in a single column or two separated columns.- crs
Cordinate reference system to return, Default: 4326 for
sf_to_df()andNULLfordf_to_sf().- coords
Coordinate columns for input data.frame or output sf object (if geometry is 'centroid' or 'point') Default: c("lon", "lat").
- geometry
Type of geometry to include in data frame. options include "drop", "wkt", "centroid", "point", Default: 'centroid'.
- keep_all
If
FALSE, drop all columns other than those named in coords, Default:TRUE.- from_crs
For
df_to_sf(), coordinate reference system used by coordinates or well known text in data frame.- into
If coords is a single column name with both longitude and latitude,
intois used as the names of the new columns that coords is separated into. Passed totidyr::separate().- sep
If coords is a single column name with both longitude and latitude,
sepis used as the separator between coordinate values. Passed totidyr::separate().- rev
If
TRUE, reversec("lat", "lon")coords toc("lon", "lat").check_coords()only.- remove_coords
For
df_to_sf(), ifTRUE, remove the coordinate columns after converting a data frame to simple feature object; defaults toFALSE.- geo
If
TRUE, useaddress_to_sf()to geocode address column; defaults toFALSE.- address
Address column name passed to
tidygeocoder::geocode()or tidygeocoder::geo- y
A sf object passed as y argument to
dplyr::left_join().- by
A character vector of variables to join by passed to
dplyr::left_join().- ...
Other parameters passed onto methods.
- as_tibble
If
TRUE, usetibble::as_tibble()to make sure a sf tibble is returned.- .name_repair
Passed to
tibble::as_tibble().- call
The execution environment of a currently running function, e.g.
caller_env(). The function will be mentioned in error messages as the source of the error. See thecallargument ofabort()for more information.
Value
sf_to_df() returns a data frame with geometry dropped or converted
to wkt or coordinates for the centroid or point on surface; df_to_sf()
returns a simple feature object with POINT geometry.
See also
df_spatial() in the ggspatial package
sf::st_as_sf()
Examples
nc <- read_sf_path(system.file("shape/nc.shp", package = "sf"))
# Convert a sf object to a data frame
nc_df <- sf_to_df(nc)
# Convert a data frame to a sf object
df_to_sf(nc_df, coords = c("lon", "lat"), remove_coords = TRUE)
#> Simple feature collection with 100 features and 14 fields
#> Attribute-geometry relationships: constant (14)
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: -84.05977 ymin: 34.07688 xmax: -75.80913 ymax: 36.49124
#> Geodetic CRS: WGS 84
#> # A tibble: 100 × 15
#> AREA PERIMETER CNTY_ CNTY_ID NAME FIPS FIPSNO CRESS_ID BIR74 SID74 NWBIR74
#> * <dbl> <dbl> <dbl> <dbl> <chr> <chr> <dbl> <int> <dbl> <dbl> <dbl>
#> 1 0.114 1.44 1825 1825 Ashe 37009 37009 5 1091 1 10
#> 2 0.061 1.23 1827 1827 Alle… 37005 37005 3 487 0 10
#> 3 0.143 1.63 1828 1828 Surry 37171 37171 86 3188 5 208
#> 4 0.07 2.97 1831 1831 Curr… 37053 37053 27 508 1 123
#> 5 0.153 2.21 1832 1832 Nort… 37131 37131 66 1421 9 1066
#> 6 0.097 1.67 1833 1833 Hert… 37091 37091 46 1452 7 954
#> 7 0.062 1.55 1834 1834 Camd… 37029 37029 15 286 0 115
#> 8 0.091 1.28 1835 1835 Gates 37073 37073 37 420 0 254
#> 9 0.118 1.42 1836 1836 Warr… 37185 37185 93 968 4 748
#> 10 0.124 1.43 1837 1837 Stok… 37169 37169 85 1612 1 160
#> # ℹ 90 more rows
#> # ℹ 4 more variables: BIR79 <dbl>, SID79 <dbl>, NWBIR79 <dbl>,
#> # geometry <POINT [°]>
# If lon and lat values are present in a single column, use the into parameter
# to split the values back into separate columns
nc_df$xy <- paste(nc_df$lon, nc_df$lat, sep = ",")
df_to_sf(nc_df, coords = "xy", into = c("lon", "lat"))
#> Simple feature collection with 100 features and 16 fields
#> Attribute-geometry relationships: constant (16)
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: -84.05977 ymin: 34.07688 xmax: -75.80913 ymax: 36.49124
#> Geodetic CRS: WGS 84
#> # A tibble: 100 × 17
#> AREA PERIMETER CNTY_ CNTY_ID NAME FIPS FIPSNO CRESS_ID BIR74 SID74 NWBIR74
#> * <dbl> <dbl> <dbl> <dbl> <chr> <chr> <dbl> <int> <dbl> <dbl> <dbl>
#> 1 0.114 1.44 1825 1825 Ashe 37009 37009 5 1091 1 10
#> 2 0.061 1.23 1827 1827 Alle… 37005 37005 3 487 0 10
#> 3 0.143 1.63 1828 1828 Surry 37171 37171 86 3188 5 208
#> 4 0.07 2.97 1831 1831 Curr… 37053 37053 27 508 1 123
#> 5 0.153 2.21 1832 1832 Nort… 37131 37131 66 1421 9 1066
#> 6 0.097 1.67 1833 1833 Hert… 37091 37091 46 1452 7 954
#> 7 0.062 1.55 1834 1834 Camd… 37029 37029 15 286 0 115
#> 8 0.091 1.28 1835 1835 Gates 37073 37073 37 420 0 254
#> 9 0.118 1.42 1836 1836 Warr… 37185 37185 93 968 4 748
#> 10 0.124 1.43 1837 1837 Stok… 37169 37169 85 1612 1 160
#> # ℹ 90 more rows
#> # ℹ 6 more variables: BIR79 <dbl>, SID79 <dbl>, NWBIR79 <dbl>, lon <dbl>,
#> # lat <dbl>, geometry <POINT [°]>