Hexagonal hierarchical geospatial indexing system
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Updated
Sep 27, 2024 - C
Hexagonal hierarchical geospatial indexing system
h3-js provides a JavaScript version of H3, a hexagon-based geospatial indexing system.
KD-Tree Implementation in Python - https://doi.org/10.5281/zenodo.13384095
Haskell implementation of http://s2geometry.io/
Java bindings for H3, a hierarchical hexagonal geospatial indexing system
Computational geometry and spatial indexing on the sphere
Go bindings for H3, a hierarchical hexagonal geospatial indexing system
KD-Tree Implementation in MATLAB - https://doi.org/10.5281/zenodo.12808902
Ruby Bindings for H3, a hexagonal geospatial indexing system
C++ implementation of R*-tree, an MVR-tree and a TPR-tree with C API
Spatial data indexing in pure Julia (R*-trees etc)
Basic implementations of kd tree and quad tree in python
Presto bindings for H3, a hierarchical hexagonal geospatial indexing system
Port of Uber's H3 to .NET
Spatial decomposition without space filling curves
Access Uber's h3-js library via R and V8 - https://uber.github.io/h3/#/documentation/overview/use-cases
Unofficial fork of Norio Katayama's SR Tree spatial indexing implementation for high-dimensional data
Geo Assist is a spatial library to manage spatial data in-memory.
Compute bounding sphere for a set of points using Jack Ritter's algorithm
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