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Is the H3 grid system an open source project?
The H3 grid system became well-known as it was applied by Uber in developing its ride hailing service. Since then, the tool has been released publicly as an open source project and is widely applied.
What is the H3 geospatial indexing system?
What is the H3 geospatial indexing system? Simply stated, the H3 grid is a geospatial indexing system that is hexagonal and that can be subdivided into smaller grids. It is a multi-precision tiling of the entire world with hierarchical linear indexes to organize data.
How many cells are there in the H3 grid?
The H3 grid is constructed by laying out 122 base cells over the Earth, with ten cells per face. Some cells are contained by more than one face. Since it is not possible to tile the icosahedron with only hexagons, we chose to introduce twelve pentagons, one at each of the icosahedron vertices.
How to create a H3 grid in Docker?
To create a container that includes h3 save the following on a file called Dockerfile: And build the container by running the following from the same folder where the file is stored: docker build -t gds_h3 . When if finishes, you should be able to launch the gds_h3 container and run this notebook from there.
What is the hexagonal hierarchical index of Uber?
H3: Uber’s Hexagonal Hierarchical Spatial Index. Grid systems are critical to analyzing large spatial data sets, partitioning areas of the Earth into identifiable grid cells. With this in mind, Uber developed H3, our grid system for efficiently optimizing ride pricing and dispatch, for visualizing and exploring spatial data.
Which is faster H3 or QGIS for spatial aggregation?
The whole process from reading the input to creating the aggregated grid layer takes just over 2 seconds. Compare that to a QGIS model using spatial index which takes at least 5x of that. H3 is uniquely suited for such spatial aggregations and is very fast.
How does Uber geospatial indexing work with H3?
In this article, I am presenting Uber’s H3 geospatial indexing system. One of the many open-source initiatives from this company, the H3 system allows you to quickly and efficiently index your data for later querying. Geospatial indexing is essential for aggregating and querying dat a at scale.