R Under development (unstable) (2024-11-06 r87293 ucrt) -- "Unsuffered Consequences"
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> options(rgdal_show_exportToProj4_warnings = "none")
> suppressPackageStartupMessages(library(stars))
> 
> if (suppressPackageStartupMessages(require(sp, quietly = TRUE)) && require("raster", quietly = TRUE) && 
+ 	suppressPackageStartupMessages(require("terra", quietly = TRUE))) {
+ 
+ tif = system.file("tif/L7_ETMs.tif", package = "stars")
+ (x = read_stars(tif))
+ (r = as(x, "Raster"))
+ (y = st_as_stars(r))
+ 
+ # single band:
+ x = adrop(x[,,,1])
+ r = as(x, "Raster")
+ (y = st_as_stars(r))
+ 
+ # proxy:
+ (x = read_stars(tif, proxy = TRUE))
+ (r = as(x, "Raster"))
+ (y = st_as_stars(r))
+ (y2 = st_as_stars(r, proxy = TRUE))
+ }
stars_proxy object with 1 attribute in 1 file(s):
$L7_ETMs.tif
[1] "[...]/L7_ETMs.tif"

dimension(s):
     from  to  offset delta                     refsys point x/y
x       1 349  288776  28.5 SIRGAS 2000 / UTM zone 25S FALSE [x]
y       1 352 9120761 -28.5 SIRGAS 2000 / UTM zone 25S FALSE [y]
band    1   6      NA    NA                         NA    NA    
> 
> if (require(terra, quietly = TRUE)) {
+ ## terra -------------
+ stopifnot(require(terra))
+ (x = read_stars(tif))
+ (r = as(x, "SpatRaster"))
+ (y = st_as_stars(r))
+ 
+ # single band:
+ x = adrop(x[,,,1])
+ r = as(x, "SpatRaster")
+ (y = st_as_stars(r))
+ 
+ # proxy:
+ (x = read_stars(tif, proxy = TRUE))
+ (r = as(x, "SpatRaster"))
+ (y = st_as_stars(r))
+ (y2 = st_as_stars(r, proxy = TRUE))
+ 
+ f = system.file("tif/lc.tif", package = "stars")
+ lc = read_stars(system.file("tif/lc.tif", package = "stars"))
+ levels(lc[[1]])
+ r = rast(lc)
+ e = attr(lc[[1]], "exclude")
+ 
+ if (packageVersion("terra") >= "1.5.48") {
+ 
+ print(all.equal(terra::levels(r)[[1]][,2], terra::levels(rast(f))[[1]][!e,2]))
+ print(all.equal(terra::coltab(r)[[1]][!e,], terra::coltab(rast(f))[[1]][!e,], check.attributes = FALSE))
+ 
+ r<- rast(nrow=10, ncol=10)
+ set.seed(5)
+ values(r)<- sample(1:3, size = ncell(r), replace = TRUE)
+ levels(r) <- data.frame(ID=1:3, category = c("c1", "c2", "c3"))
+ 
+ r2<- rast(nrow=10, ncol=10)
+ set.seed(6)
+ values(r2)<- sample(c(0,2,3), size = ncell(r2), replace = TRUE)
+ levels(r2) <- data.frame(ID=c(0,2,3), category = c("x1", "x2", "x3"))
+ 
+ r3<- c(r,r2)
+ names(r3)<- c("lyr.1", "lyr.2")
+ 
+ r3_stars<- st_as_stars(r3)
+ 
+ st_redimension(r3_stars) |> print()
+ rast(r3_stars) |> levels() |> print()
+ 
+ m = matrix(1:121, 11, 11)
+ bb = st_bbox(c(xmin=0, xmax=11, ymin=0, ymax=11))
+ s = st_as_stars(bb, values = m)
+ r = rast(s)
+ aggregate(r, 2) |> st_as_stars() -> r.s
+ stopifnot(isTRUE(all.equal(r.s[,1:5,1:5], st_downsample(s, 1, FUN = mean))))
+ }
+ }
[1] TRUE
[1] TRUE
stars object with 3 dimensions and 1 attribute
attribute(s):
 lyr.1.lyr.2 
 c1:34       
 c2:32       
 c3:34       
 x1:28       
 x2:37       
 x3:35       
dimension(s):
        from to offset delta         refsys       values x/y
x          1 10   -180    36 WGS 84 (CRS84)         NULL [x]
y          1 10     90   -18 WGS 84 (CRS84)         NULL [y]
new_dim    1  2     NA    NA             NA lyr.1, lyr.2    
[[1]]
  IDs categories
1   1         c1
2   2         c2
3   3         c3

[[2]]
  IDs categories
1   0         x1
2   2         x2
3   3         x3

> 
> 
> proc.time()
   user  system elapsed 
   8.48    0.65    9.12