Reading and writing spatial data¶
Introduction¶
Reading and writing spatial data is complicated by the fact that there are many different file formats. However, there are a few formats that are most common that we discuss here.
Vector files¶
The shapefile
is the most commonly used file format for vector data
(if you are not familiar with this file format, an important thing to
understand is that a
shapefile is really a set
of at least three (ideally four) files, with all the same name, but
different extension. For shapefile x
you must have, in the same
directory, these three files: x.shp
, x.shx
, x.dbf
, and
ideally also x.prj
.
It is easy to read and write such files. Here we use a shapefile that
comes with the terra
package.
Reading¶
We use the system.file
function to get the full path name of the
file’s location. We need to do this as the location of this file depends
on where the terra package is installed. You should not use the
system.file
function for your own files. It only serves for creating
examples with data that ship with R. With your own files, just use the
filename (and path if the file is not in your working directory).
library(terra)
filename <- system.file("ex/lux.shp", package="terra")
basename(filename)
## [1] "lux.shp"
Now we have the filename we can use the vect
function to read the
file.
s <- vect(filename)
s
## class : SpatVector
## geometry : polygons
## dimensions : 12, 6 (geometries, attributes)
## extent : 5.74414, 6.528252, 49.44781, 50.18162 (xmin, xmax, ymin, ymax)
## source : lux.shp
## coord. ref. : lon/lat WGS 84 (EPSG:4326)
## names : ID_1 NAME_1 ID_2 NAME_2 AREA POP
## type : <num> <chr> <num> <chr> <num> <int>
## values : 1 Diekirch 1 Clervaux 312 18081
## 1 Diekirch 2 Diekirch 218 32543
## 1 Diekirch 3 Redange 259 18664
The vect
function returns SpatVector
objects. It is important to
recognise the difference between this type of R object
(SpatVector
), and the file (“shapefile”) that was used to create it.
Thus, you should never say “I have a shapefile in R”, say “I have a
SpatVector of polygons in R”, (and in some cases you can add “created
from a shapefile”). The shapefile is one of many file formats for vector
data.
Writing¶
You can write new files using the writeVector
method. You need to
add argument overwrite=TRUE
if you want to overwrite an existing
file.
outfile <- "shp_test.shp"
writeVector(s, outfile, overwrite=TRUE)
To remove the file again you can use file.remove
or unlink
(be
careful!)
ff <- list.files(patt="^shptest")
file.remove(ff)
## logical(0)
Raster files¶
The terra package can read and write several raster file formats.
Reading raster data¶
Again we need to get a filename for an example file.
f <- system.file("ex/logo.tif", package="terra")
basename(f)
## [1] "logo.tif"
Now we can do
r <- rast(f)
r
## class : SpatRaster
## dimensions : 77, 101, 3 (nrow, ncol, nlyr)
## resolution : 1, 1 (x, y)
## extent : 0, 101, 0, 77 (xmin, xmax, ymin, ymax)
## coord. ref. : Cartesian (Meter)
## source : logo.tif
## colors RGB : 1, 2, 3
## names : red, green, blue
## min values : 0, 0, 0
## max values : 255, 255, 255
Note that x
is a SpatRaster of three layers (“bands”). We can subset
it to get a single layer.
r2 <- r[[2]]
r2
## class : SpatRaster
## dimensions : 77, 101, 1 (nrow, ncol, nlyr)
## resolution : 1, 1 (x, y)
## extent : 0, 101, 0, 77 (xmin, xmax, ymin, ymax)
## coord. ref. : Cartesian (Meter)
## source : logo.tif
## name : green
## min value : 0
## max value : 255
The same approach holds for other raster file formats, including GeoTiff, NetCDF, Imagine, and ESRI Grid formats.
Writing raster data¶
Use writeRaster
to write raster data. You must provide a SpatRaster
and a filename. The file format will be guessed from the filename
extension. If that does not work you can provide an argument like
format=GTiff
. Note the argument overwrite=TRUE
and see
?writeRaster
for more arguments, such as datatype=
to set the a
specific datatype (e.g., integer).
x <- writeRaster(r, "test_output.tif", overwrite=TRUE)
x
## class : SpatRaster
## dimensions : 77, 101, 3 (nrow, ncol, nlyr)
## resolution : 1, 1 (x, y)
## extent : 0, 101, 0, 77 (xmin, xmax, ymin, ymax)
## coord. ref. : Cartesian (Meter)
## source : test_output.tif
## colors RGB : 1, 2, 3
## names : red, green, blue
## min values : 0, 0, 0
## max values : 255, 255, 255