gdalcubes internally uses a graph to serialize data cubes (including chained operations on cubes). This function derives a JSON representation, which can be used to save data cube objects without pixel data to disk.
Usage
as_json(obj, file =NULL)
Arguments
Argument
Description
obj
a data cube proxy object (class cube)
file
optional output file
Value
If file is NULL, the function returns a JSON string representing a graph that can be used to recreate the same chain of gdalcubes operations even in a different R sessions.
Examples
# 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="2018-04"),srs="EPSG:32618", nx =497, ny=526, dt="P1M")cat(as_json(select_bands(raster_cube(L8.col, v), c("B04", "B05"))))
# as_jsonQuery data cube properties```{r include=FALSE}library(gdalcubes)```## Descriptiongdalcubes internally uses a graph to serialize data cubes (including chained operations on cubes). This function derives a JSONrepresentation, which can be used to save data cube objects without pixel data to disk.## Usage```ras_json(obj, file =NULL)```## Arguments| Argument | Description ||:------------|:----------------------------------|| obj | a data cube proxy object (class cube) || file | optional output file |## ValueIf file is NULL, the function returns a JSON string representing a graph that can be used to recreate the samechain of gdalcubes operations even in a different R sessions.## 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="2018-04"),srs="EPSG:32618", nx =497, ny=526, dt="P1M")cat(as_json(select_bands(raster_cube(L8.col, v), c("B04", "B05"))))```