No longer here. Find us at @gdal@mastodon.social GDAL is a translator library for raster and vector geospatial data formats.
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By the way, we've moved away from this platform as everybody should, right? Find us at mastodon.social/@gdal
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gdal org retweeted
Just sent another $300+ to OSGeo! Reminder: all proceeds go to support the maintainers of GDAL! And it’s not just shirts - we’ve got hoodies too.
my-store-9f5dbe.creator-spri…
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gdal org retweeted
@blaynechard from @LandInfoNZ did a bunch of useful research to show that NZ would have no problem using @Esri's LERC compression and @cogeotiff (available in recent @GdalOrg) to store and stream their raster elevation content. Visit github.com/linz/elevation/tr… to learn more.
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#GDAL 3.7.0 is released: lists.osgeo.org/pipermail/gd… . It includes JSON output for ogrinfo, TileDB vector support, reading of FileGeodatabase raster datasets, @sozip (Seek optimized ZIP) read/write support and many other enhancements and fixes.
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A GDAL 3.7.0 release candidate is now available for your testing: lists.osgeo.org/pipermail/gd…. Lots of exciting new stuff !
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If you use GDAL with Conda, see github.com/conda-forge/gdal-… for instructions to upgrade your existing environment to recent GDAL builds that now use libjpeg-turbo
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@EvenRouault posted a nice summary of the work he has done for the @GdalOrg sponsorship program to the mailing list lists.osgeo.org/pipermail/gd… Thank you so much to the sponsors for supporting such high impact activities that benefit everyone using GDAL. gdal.org/sponsors/index.html
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Due to docker.com recent move, GDAL Docker images are migrated to ghcr.io/osgeo/gdal{:tagname} : lists.osgeo.org/pipermail/gd…
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#GDAL 3.6.3 RC1 bug fix release available for your testing: lists.osgeo.org/pipermail/gd…
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Thanks to Kikitte Lee for contributing a new raster->vector polygonizer algorithm, that is up to 10 times faster in some cases: github.com/OSGeo/gdal/pull/7…
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Not yet adopted, but we are already mentioned as a reference implementation!
Seeking public comment on FlatGeobuf becoming an OGC Community Standard. FlatGeobuf is a performant binary encoding for geographic data that works well as a “cloud native” lossless format for vector data #OGCPubCom bit.ly/3K0WSBB
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All that made possible by us. And practicality of working directly from #shizzle will increase again when @sozipOrg reaches your GDAL build
Did you know, #geopandas can read and write directly to and from zipped #shapefiles, a.k.a #shizzle files (.shz). #gischat
geopandas.org/en/stable/docs…
stackoverflow.com/a/67227574
H/t hachyderm.io/@ethanwhite/109…
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gdal org retweeted
Try me now on @condaforge with @qgis !
conda create --name sozip_test
conda activate sozip_test
conda install -c gdal-master gdal
conda install -c conda-forge qgis
And with a @GeoPackage1 file:
sozip -j out.gpkg.zip /path/to/in.gpkg
qgis out.gpkg.zip
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Thanks to @hobu, our master builds are now available back on Conda on the "gdal-master" channel. All details at gdal.org/download.html#gdal-…. Using bleeding edge GDAL has never been so easy
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There are limits to our good will that some have "precisely" exceeded :-) And our abstraction model doesn't necessarily capture all specialized data models.
Core issue from the article, "..but nothing fit our particular needs. So like Google, we embarked upon creating our own specification..", like everyone else.
Should a spatial format reach critical mass, standard or not, the great homogenizer @GdalOrg will handle it.
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Relax @EvenRouault . At the end of the day, all those rather ephemeral mind constructions look pretty much the same after a gdal_translate -of COG or ogr2ogr -f GeoPackage (the later being best supplemented with @sozipOrg )
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