flatgeobuf @flatgeobuf
A performant binary encoding for geographic data based on flatbuffers github.com/flatgeobuf/fla… Joined April 2019-
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Finally got some time to take the new @flatgeobuf support in FME 2023 beta for a spin. Sorry @shapefiIe, this thing seems pretty solid. And fast. 750k features per second on read.
Nice, @flatgeobuf becoming @opengeospatial community standard! portal.ogc.org/files/?artifac… See for my early experiments with FlatGeoBuf bertt.wordpress.com/2022/05/03/fla…
It's klunky, but I find that Flatgeobuf gives me new capabilities and solves a problem that isn't easily-resolved via geojson, mvt or the like. It's a good file-format.
To @shapefiIe or not to @shapefiIe ? That is a question...
new Observable notebook: Spatial query on @flatgeobuf 8 million cadastral parcels datafile (4GB) hosted on @Azure blob storage and visualize in @Leaflet observablehq.com/@bert/flatgeob…
New blog - demonstrating visualizing in QGIS 10 million parcels - format FlatGeobuf (4GB) directly from cloud server bertt.wordpress.com/2022/05/03/fla…
Fresh new import format: @flatgeobuf! An efficient, fancy, modern alternative to formats like GeoJSON & Shapefiles.
Follow detailed steps to configure MapServer for accessing @flatgeobuf as well as for WFS output of FGB : mapserver.org/input/vector/f… #foss4g #sharing cc @shapefiIe
@bjornharrtell @kylebarron2 @benmschmidt @flatgeobuf @GeoPackage1 For me FlatGeobuf is also clearly the first cloud-native vector format, as it was designed for http range requests. It's set a very high bar for all that's needed to be a modern spatial format, especially the big investment in the 'ecosystem' of tools to support it.
While @GeoParquet looks cool and fast (but not spec stable) it's not on Twitter, I'm not sure that is ok for a spatial format? :D
This session is happening in 50 minutes! Lots of great talks on GeoParquet, which just got a 0.2 release (). Do also check out the talk on @flatgeobuf from earlier today for the full cloud-native vector picture: drive.google.com/file/d/1Yd9lfX… #cloudnativegeo
This session is happening in 50 minutes! Lots of great talks on GeoParquet, which just got a 0.2 release (). Do also check out the talk on @flatgeobuf from earlier today for the full cloud-native vector picture: drive.google.com/file/d/1Yd9lfX… #cloudnativegeo
Don't miss an opportunity to learn about #CloudNative #Geospatial on April 19 and 20 during our two day Outreach Meeting. See the full agenda: na.eventscloud.com/website/36829/
I've added basic @flatgeobuf support to the @protomaps tippecanoe fork which you can try out now: github.com/protomaps/tipp… test dataset: Microsoft California Building Footprints (~3.6GB) reading GeoJSONSeq: 75 seconds reading FlatGeobuf: 10 seconds!
Got some more @flatgeobuf notes to share: worace.works/2022/03/12/fla… This is a more detailed implementer's guide covering topics I wished I knew when writing a GeoJSON -> FGB encoder. Useful for anyone trying to get into the nuts and bolts of how it works.
I recently got to spend an amazing week at @gradientretreat and I used it to dig more deeply into @flatgeobuf which I think is very cool. Now I'm back home and getting around to publishing some of my findings: worace.works/2022/02/23/kic…
@Omojasola6 @maplibre @flatgeobuf The buildings are just osm extracted through the QGIS plugin QuickOSM and just loaded as flatgeobuf. The point cloud I just took from the deck gl tutorial and moved it's anchor. I might have some time for a tutorial soon, but there are a few waiting before that.
Preparing some demo apps for work and this is amazing: used @maplibre & deck.gl to draw a point cloud and figured why not add some extruded buildings. added ~4,400 buildings from OSM each with 98 fields. The layer is in @flatgeobuf and the map loads in ~2 seconds.
@geonanayi If I don't need to edit, I'll always use @flatgeobuf for its speed, size and it's ability to stream.
@drzax Glad to have helped. Will the public spot them in action in an upcoming article? cc @flatgeobuf - another satisfied customer 🎉
Are you using GeoJSON today as the means to transfer data from your backend to your frontend today? Then I could save you ~10x the work and time as a drop in replacement.

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