R: Convert a data cube to an in-memory R array

as_array {gdalcubes} | R Documentation

## Convert a data cube to an in-memory R array

### Description

Convert a data cube to an in-memory R array

### Usage

    as_array(x)

### Arguments

`x` | data cube

### Value

Four dimensional array with dimensions band, t, y, x

### Note

Depending 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

    # create image collection from example Landsat data only
    # if not already done in other examples
    if (!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"))
    }

    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")
    as_array(select_bands(raster_cube(L8.col, v), c("B04", "B05")))

[Package gdalcubes version 0.6.0 Index]