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40 lines
1.3 KiB
R
40 lines
1.3 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.data.frame.cube}
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\alias{as.data.frame.cube}
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\title{Convert a data cube to a data.frame}
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\usage{
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\method{as.data.frame}{cube}(x, ..., complete_only = FALSE)
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}
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\arguments{
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\item{x}{data cube object}
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\item{...}{not used}
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\item{complete_only}{logical; if TRUE, remove rows with one or more missing values}
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}
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\value{
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A data.frame with bands / variables of the cube as columns and pixels as rows
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}
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\description{
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Convert a data cube to a data.frame
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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 = select_bands(raster_cube(L8.col, v), c("B04", "B05"))
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df = as.data.frame(x, complete_only = TRUE)
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head(df)
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}
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}
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