H3 is a geospatial indexing system using a hexagonal grid that can be (approximately) subdivided into finer and finer hexagonal grids, combining the benefits of a hexagonal grid with S2's hierarchical subdivisions.
Documentation is available at https://uber.github.io/h3/. Developer documentation in Markdown format is available under the dev-docs directory.
- Post bug reports or feature requests to the GitHub Issues page
- Ask questions by posting to the H3 tag on StackOverflow
We recommend using prebuilt bindings if they are available for your programming language. Bindings for Java, JavaScript, Python, and others are available.
If no bindings are available, you can only install H3 by building from source.
Still here? To build the H3 C library, you'll need a C compiler (tested with gcc and clang), CMake, and Make. If you intend to contribute to H3, you must have clang-format installed and we recommend installing ccmake and LCOV to configure the cmake arguments to build and run the tests and generate the code coverage report. We also recommend using gcc for the code coverage as some versions of clang generate annotations that aren't compatible with lcov. Doxygen is needed to build the API documentation.
- Alpine
# Installing the bare build requirements
apk add cmake make gcc libtool musl-dev
- Debian/Ubuntu
# Installing the bare build requirements
sudo apt install cmake make gcc libtool
# Installing useful tools for development
sudo apt install clang-format cmake-curses-gui lcov doxygen
- macOS (using brew)
First make sure you have the developer tools installed and then
# Installing the bare build requirements
brew install cmake
# Installing useful tools for development
brew install clang-format lcov doxygen
- Windows (Visual Studio)
You will need to install CMake and Visual Studio, including the Visual C++ compiler. For building on Windows, please follow the Windows build instructions.
From the repository you would then compile like so:
cmake .
make
You can install system-wide with:
sudo make install
After making the project, you can test with make test, and if lcov is installed you can make coverage to generate a code coverage report.
You can build developer documentation with make docs if Doxygen was installed when CMake was run. Index of the documentation will be dev-docs/_build/html/index.html.
After making the project, you can build KML files to visualize the hexagon grid with make kml. The files will be placed in KML.
To build the documentation website, see the website/ directory.
To get the H3 index for some location:
./bin/geoToH3 10
40.689167 -74.044444
10 is the H3 resolution, between 0 (coarsest) and 15 (finest). The coordinates entered are the latitude and longitude, in degrees, you want the index for (these coordinates are the Statue of Liberty). You should get an H3 index as output, like 8a2a1072b59ffff.
You can then take this index and get some information about it, for example:
./bin/h3ToGeoBoundary
8a2a1072b59ffff
This will produce the vertices of the hexagon at this location:
8a2a1072b59ffff
{
40.690058601 -74.044151762
40.689907695 -74.045061792
40.689270936 -74.045341418
40.688785091 -74.044711031
40.688935993 -74.043801021
40.689572744 -74.043521377
}
You can get the center coordinate of the hexagon like so:
./bin/h3ToGeo
8a2a1072b59ffff
This will produce some coordinate:
40.6894218437 -74.0444313999
The above features of H3 can also be used from C. For example, you can compile and run examples/index.c like so:
cc -lh3 examples/index.c -o example
./example
You should get output like:
The index is: 8a2a1072b59ffff
Boundary vertex #0: 40.690059, -74.044152
Boundary vertex #1: 40.689908, -74.045062
Boundary vertex #2: 40.689271, -74.045341
Boundary vertex #3: 40.688785, -74.044711
Boundary vertex #4: 40.688936, -74.043801
Boundary vertex #5: 40.689573, -74.043521
Center coordinates: 40.689422, -74.044431
Pull requests and Github issues are welcome. Please see our contributing guide for more information.
Before we can merge your changes, you must agree to the Uber Contributor License Agreement.
H3 is licensed under the Apache 2.0 License.
DGGRID Copyright (c) 2015 Southern Oregon University