I have a raster object ("Climate") made up of different layers/variables ( bio01, bio07, bio08...) Below you can see the details:
class : SpatRaster
dimensions : 98, 174, 8 (nrow, ncol, nlyr)
resolution : 0.5, 0.5 (x, y)
extent : -27, 60, 32.5, 81.5 (xmin, xmax, ymin, ymax)
coord. ref. : lon/lat WGS 84
source(s) : memory
varnames : bio01
bio07
bio08
...
names : bio01, bio07, bio08, bio18, bio14, lai, ...
min values : -36.07298, 4.962311, -6.948818, 125.3619, 0.000, 0.000000, ...
max values : 20.01547, 41.839218, 33.729374, 3260.1653, 1559.828, 6.025625, ...
time (years): -53050
How could I save "Climate" in my directory and to load it in R with exactly the same format and variable names? If I save it in a .nc format file, when I load it the names of variables are not the same... Thank you
You have not provided any data. So, I am using a default data available with terra R package.
library(terra)
#> terra 1.7.18
# Read raster data with multiple layers
r <- rast(system.file("ex/logo.tif", package = "terra"))
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
#Write the raster data to disk
writeRaster(r, "test.tif", overwrite = T)
#Read the written raster data
r1 <- rast("test.tif")
r1
#> 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.tif
#> colors RGB : 1, 2, 3
#> names : red, green, blue
#> min values : 0, 0, 0
#> max values : 255, 255, 255
Created on 2023-05-16 with reprex v2.0.2