Please add type="xylz" to complement rast(type="xyz")

[aloboa]

In reference to
https://stackoverflow.com/questions/74934891/specifying-layers-when-using-rast-type-xyz-to-convert-data-frame-to-spatra
and facing a similar need, I think that, considering terra supports multilayer SpatRaster objects, it would be most natural
having the option
rast(x,type="xylz")
where "l" would stand for layer, thus letting the user simply run, eg,

library(terra)
set.seed(0)
df <- data.frame(longitude=rep(seq(10,19,1), 3),
  latitude=rep(seq(10, 19,1), 3),
  date= as.Date(rep(c("2012-01-01", "2012-02-01", "2012-03-01"), each=10)),
  vals=rnorm(30,10,5))
x <- rast(df, type="xylz")

And the corresponding option
xyl=TRUE
would be appreciated in as.data.frame() to include a layer column within a "long" df format.

[rhijmans]

Thanks, I have implemented both.

library(terra)
set.seed(0)
df <- data.frame(longitude=rep(seq(10,19,1), 3),
  latitude=rep(seq(10, 19,1), 3),
  date= as.Date(rep(c("2012-01-01", "2012-02-01", "2012-03-01"), each=10)),
  vals=rnorm(30,10,5))
x <- rast(df, type="xylz")

x
#class       : SpatRaster 
#dimensions  : 10, 10, 3  (nrow, ncol, nlyr)
#resolution  : 1, 1  (x, y)
#extent      : 9.5, 19.5, 9.5, 19.5  (xmin, xmax, ymin, ymax)
#coord. ref. :  
#source(s)   : memory
#names       :   vals.1,    vals.2,    vals.3 
#min values  :  2.30025,  3.812308,  3.577003 
#max values  : 22.02327, 13.817967, 15.428847 
#time (days) : 2012-01-01 to 2012-03-01 
 
as.data.frame(x, wide=F, time=T) |> head()
#   layer       time    values
#1 vals.1 2012-01-01 22.023267
#2 vals.1 2012-01-01  9.971164
#3 vals.1 2012-01-01  8.526398
#4 vals.1 2012-01-01  5.357165
#5 vals.1 2012-01-01  2.300250
#6 vals.1 2012-01-01 12.073207