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serialize and saveRDS for SpatVector, SpatRaster, SpatRasterDataset and SpatRasterCollection. Note that these objects will first be "packed" with wrap, and after unserialize/readRDS they need to be unpacked with rast or vect.

Extensive use of these functions is not recommended. Especially for SpatRaster it is generally much more efficient to use writeRaster and write, e.g., a GTiff file.

Usage

# S4 method for class 'SpatRaster'
saveRDS(object, file="", ascii = FALSE, version = NULL, compress=TRUE, refhook = NULL)

# S4 method for class 'SpatRasterDataset'
saveRDS(object, file="", ascii = FALSE, version = NULL, compress=TRUE, refhook = NULL)

# S4 method for class 'SpatRasterCollection'
saveRDS(object, file="", ascii = FALSE, version = NULL, compress=TRUE, refhook = NULL)

# S4 method for class 'SpatVector'
saveRDS(object, file="", ascii = FALSE, version = NULL, compress=TRUE, refhook = NULL)

# S4 method for class 'SpatRaster'
serialize(object, connection, ascii = FALSE, xdr = TRUE, version = NULL, refhook = NULL)

# S4 method for class 'SpatVector'
serialize(object, connection, ascii = FALSE, xdr = TRUE, version = NULL, refhook = NULL)

Arguments

object

SpatVector, SpatRaster, SpatRasterDataset or SpatRasterCollection

file

file name to save object to

connection

see serialize

ascii

see serialize or saveRDS

version

see serialize or saveRDS

compress

see serialize or saveRDS

refhook

see serialize or saveRDS

xdr

see serialize or saveRDS

Value

Packed* object

Examples

f <- system.file("ex/lux.shp", package="terra")
v <- vect(f)
p <- serialize(v, NULL)
head(p)
#> [1] 58 0a 00 00 00 03
x <- unserialize(p)
x
#>  class       : SpatVector 
#>  geometry    : polygons 
#>  dimensions  : 12, 6  (geometries, attributes)
#>  extent      : 5.74414, 6.528252, 49.44781, 50.18162  (xmin, xmax, ymin, ymax)
#>  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