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36 lines
1.4 KiB
R
36 lines
1.4 KiB
R
% Generated by roxygen2: do not edit by hand
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% Please edit documentation in R/cube.R
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\name{as_json}
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\alias{as_json}
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\title{Query data cube properties}
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\usage{
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as_json(obj, file = NULL)
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}
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\arguments{
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\item{obj}{a data cube proxy object (class cube)}
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\item{file}{optional output file}
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}
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\value{
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If file is NULL, the function returns a JSON string representing a graph that can be used to recreate the same
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chain of gdalcubes operations even in a different R sessions.
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}
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\description{
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gdalcubes internally uses a graph to serialize data cubes (including chained operations on cubes). This function derives a JSON
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representation, which can be used to save data cube objects without pixel data to disk.
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}
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\examples{
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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="2018-04"),
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srs="EPSG:32618", nx = 497, ny=526, dt="P1M")
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cat(as_json(select_bands(raster_cube(L8.col, v), c("B04", "B05"))))
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}
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