A high-performance Rust crate for geospatial and non-geospatial point clustering.
This crate was initially inspired by Mapbox's supercluster blog post.
-
load(points)
: Loads a FeatureCollection Object. Each feature should be a Feature Object. -
get_clusters(bbox, zoom)
: For the givenbbox
array ([west_lng, south_lat, east_lng, north_lat]
) andzoom
, returns an array of clusters and points as Feature Object objects. -
get_tile(z, x, y)
: For a given zoom and x/y coordinates, returns a FeatureCollection Object. -
get_children(cluster_id)
: Returns the children of a cluster (on the next zoom level) given its id (cluster_id
value from feature properties). -
get_leaves(cluster_id, limit, offset)
: Returns all the points of a cluster (given itscluster_id
), with pagination support. -
get_cluster_expansion_zoom(cluster_id)
: Returns the zoom on which the cluster expands into several children (useful for "click to zoom" feature) given the cluster'scluster_id
.
Option | Description |
---|---|
min_zoom |
Minimum zoom level at which clusters are generated. |
max_zoom |
Maximum zoom level at which clusters are generated. |
min_points |
Minimum number of points to form a cluster. |
radius |
Cluster radius, in pixels. |
extent |
(Tiles) Tile extent. Radius is calculated relative to this value. |
node_size |
Size of the KD-tree leaf node. Affects performance. |
coordinate_system |
Type of coordinate system for clustering. |
This crate uses #![forbid(unsafe_code)]
to ensure everything is implemented in 100% safe Rust.
For more in-depth details, please refer to the full documentation.
If you encounter any issues or have questions that are not addressed in the documentation, feel free to submit an issue.
Run the following Cargo command in your project directory:
cargo add supercluster
use geojson::FeatureCollection;
use supercluster::{ CoordinateSystem, Supercluster, Options };
fn main() {
let options = Options {
max_zoom: 16,
min_zoom: 0,
min_points: 2,
radius: 40.0,
node_size: 64,
extent: 512.0,
coordinate_system: CoordinateSystem::LatLng,
};
// Create a new instance with the specified configuration settings
let mut cluster = Supercluster::new(options);
// Load a FeatureCollection Object into the Supercluster instance
// [GeoJSON Format Specification § 5](https://tools.ietf.org/html/rfc7946#section-5)
let feature_collection = FeatureCollection {
bbox: None,
// [GeoJSON Format Specification § 3.2](https://datatracker.ietf.org/doc/html/rfc7946#section-3.2)
features: vec![],
foreign_members: None,
};
let index = cluster.load(feature_collection);
// Retrieve a FeatureCollection Object within a tile at the given zoom level and tile coordinates
let tile = index.get_tile(0, 0.0, 0.0).expect("cannot get a tile");
...
}
Contributions from the community are always welcome! Here are some ways you can contribute:
If you encounter any bugs, please submit an issue with detailed information about the problem and steps to reproduce it.
If you have ideas for new features, feel free to submit an issue with a detailed description of the feature and its potential use cases.
To build the project, run:
cargo build
To run the tests, use:
cargo test
Run clippy to lint the code:
cargo clippy --all-targets --all-features --no-deps -- -D warnings
Run rustfmt to format the code:
cargo fmt
Generate documentation in HTML format:
cargo doc --open