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40 lines
1.2 KiB
R
40 lines
1.2 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/coerce.R
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\name{as_array}
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\alias{as_array}
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\title{Convert a data cube to an in-memory R array}
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\usage{
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as_array(x)
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}
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\arguments{
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\item{x}{data cube}
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}
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\value{
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Four dimensional array with dimensions band, t, y, x
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}
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\description{
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Convert a data cube to an in-memory R array
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}
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\note{
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Depending on the data cube size, this function may require substantial amounts of main memory, i.e.
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it makes sense for small data cubes only.
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}
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\examples{
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\donttest{
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# create image collection from example Landsat data only
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# if not already done in other examples
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if (!file.exists(file.path(tempdir(), "L8.db"))) {
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L8_files <- list.files(system.file("L8NY18", package = "gdalcubes"),
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".TIF", recursive = TRUE, full.names = TRUE)
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create_image_collection(L8_files, "L8_L1TP", file.path(tempdir(), "L8.db"), quiet = TRUE)
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}
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L8.col = image_collection(file.path(tempdir(), "L8.db"))
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v = cube_view(extent=list(left=388941.2, right=766552.4,
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bottom=4345299, top=4744931, t0="2018-04", t1="2018-05"),
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srs="EPSG:32618", nx = 100, ny=100, dt="P1M")
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x = as_array(select_bands(raster_cube(L8.col, v), c("B04", "B05")))
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dim(x)
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dimnames(x)
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}
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}
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