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Description: A performant binary encoding for geographic data based on flatbuffers
A performant binary encoding for geographic data based on flatbuffers that can hold a collection of Simple Features including circular interpolations as defined by SQL-MM Part 3.
Inspired by geobuf and flatbush . Deliberately does not support random writes for simplicity and to be able to cluster the data on a packed Hilbert R-Tree enabling fast bounding box spatial filtering. The spatial index is optional to allow the format to be efficiently written as a stream, support appending, and for use cases where spatial filtering is not needed.
Goals are to be suitable for large volumes of static data, significantly faster than legacy formats without size limitations for contents or metainformation and to be suitable for streaming/random access.
iSticktoit.net | Stuff for nerds and geeks
Lat × Long
CloudNativeMaps.com - Visualizing GeoSpatial
Shapefile must die!