# as_arrayConvert a data cube to an in-memory R array```{r include=FALSE}library(gdalcubes)```## DescriptionConvert a data cube to an in-memory R array## Usage```ras_array(x)```## Arguments| Argument | Description ||:------------|:----------------------------------|| x | data cube |## ValueFour dimensional array with dimensions band, t, y, x## NoteDepending on the data cube size, this function may require substantial amounts of main memory, i.e.it makes sense for small data cubes only.## Examples```{r}# create image collection from example Landsat data only # if not already done in other examplesif (!file.exists(file.path(tempdir(), "L8.db"))) { L8_files <-list.files(system.file("L8NY18", package ="gdalcubes"),".TIF", recursive =TRUE, full.names =TRUE)create_image_collection(L8_files, "L8_L1TP", file.path(tempdir(), "L8.db"), quiet =TRUE) }L8.col =image_collection(file.path(tempdir(), "L8.db"))v =cube_view(extent=list(left=388941.2, right=766552.4, bottom=4345299, top=4744931, t0="2018-04", t1="2018-05"),srs="EPSG:32618", nx =100, ny=100, dt="P1M")x =as_array(select_bands(raster_cube(L8.col, v), c("B04", "B05")))dim(x)dimnames(x)```