Alex,
I'm not super familiar myself with the usage of such random rasters, but
it seems to be fairly common indeed in GIS software, and could likely
make sense within GDAL too. I'm wondering if instead of having a new
driver, the random distribution functions could not be exposed as VRT
C++ built-in pixel functions
(https://gdal.org/en/stable/drivers/raster/vrt.html#built-in-pixel-functions).
That would make it possible to benefit from all the rest of the VRT
infrastructure like setting geospatial information, adding metadata,
multiband support etc There would be a bit of tweak to do in the
VRTDerivedRasterBand in that case to force it to always operate on block
boundaries (instead of any arbitrary requested window), so that the
per-block seed can be used, but that should mostly be a matter of a few
lines to add in its IRasterIO() implementation.
Even
Le 04/07/2025 à 19:08, Alex Hagen-Zanker via gdal-dev a écrit :
Hi all,
I implemented a plugin raster format that produces raster of random
values using the all the distributions that are offered by the
standard library's random header. It is different from other random
raster functionality in e.g. ArcGIS or QGIS because it does not store
the data on file but generates blocks of data on-demand.
Now it is for my own use, but I'd be happy to polish it up if it can
become part of GDAL.
There is documentation here:
https://github.com/ahhz/random-raster/blob/main/docs/random_raster_driver.md
<https://github.com/ahhz/random-raster/blob/main/docs/random_raster_driver.md>
random-raster/docs/random_raster_driver.md at main ·
ahhz/random-raster
<https://github.com/ahhz/random-raster/blob/main/docs/random_raster_driver.md>
Create GDALDatasets containing rasters of random values, that do not
store the values on disk - ahhz/random-raster
github.com
Would this be of interest as a GDAL format?
Kind regards, Alex
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