SuperCluster-CSharp

KO | EN

gitlite — search

#python #hacktoberfest #llm #golang #machine-learning #rust #linux #macos #java #cli #awesome-list #pytorch #security #ios

SuperCluster-CSharp

(★ 17)

SuperclusterNet is a C# library that provides an efficient way to cluster large point datasets. This library is based on the popular Supercluster JavaScript library by Mapbox and has been optimized for performance in .NET environments.

SuperCluster-CSharp 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# SuperCluster-CSharp
[![license](https://img.shields.io/badge/license-MIT-green)](https://github.com/DevCrew-io/SuperCluster-CSharp/blob/main/LICENSE)
[![](https://img.shields.io/badge/MapBox-informational?style=flat&logo=Mapbox&color=000000)](https://www.mapbox.com/)
![](https://img.shields.io/badge/NuGet-informational?style=flat&logo=NuGet&color=004880)
![](https://img.shields.io/badge/Unity-webGL-informational?style=flat&logo=Unity&color=990000)
![](https://img.shields.io/badge/CSharp-.NetCore-informational?style=flat&logo=CSharp&color=512BD4)

A C# library that provides an efficient way to cluster large point datasets. This library is based on the popular SuperCluster JavaScript library by [Mapbox](https://www.mapbox.com/) and has been optimized for performance in .NET environments.
It helps to implement clustering feature in Unity3d WebGL and in any .NET framework.

## Installation
### Install using NuGet
We'll soon publish our library to [**NuGet**](https://www.nuget.org/packages) Packages Gallery
and then you can search for DevCrew.SuperCluster or SuperCluster on NuGet package manager in Visual Studio and add it to your project.
### Install as open source
The second option is to add SuperCluster as an open source module to your .NET or Unity project if you don't use NuGet.
* Clone the repo `https://github.com/DevCrew-io/SuperCluster-CSharp.git`
* Make sure to checkout `main` branch
* Copy the `DevCrew.SuperCluster` folder and remove `DevCrew.SuperCluster.csproj` file
* Now Paste the whole DevCrew.SuperCluster package into your project and you are ready to use

## Usage

### GeoPoint 
Map your data set into list of `GeoPoint`
```c#
private readonly List<GeoPoint> _points = new List<GeoPoint>();

//here we have added some dummy geo coordinates 
_points.Add(new GeoPoint(longitude: -112.8384399, latitude: 49.696595));
_points.Add(new GeoPoint(longitude: -112.838563, latitude: 49.694496));
_points.Add(new GeoPoint(longitude: -112.8412346, latitude: 49.696189));
```

### Options
Create a new object of `SuperCluster` with clustering options
```c#
//superCluster with default clustering options
private readonly SuperCluster _superCluster = new(options: SuperCluster.DefaultOptions);

//or you can provide your own clustering options like this:
Options customOptions = new(
    minZoom: 0,
    maxZoom: 16,
    minPoints: 2,
    radius: 30,
    extent: 512,
    nodeSize: 64,
    log: true,
    generateId: false
);
```
| Option     | Default | Description                                                      |
|------------|---------|------------------------------------------------------------------|
| minZoom    | 0       | Minimum zoom level at which clusters are generated               |
| maxZoom    | 16      | Maximum zoom level at which clusters are generated               |
| minPoints  | 2       | Minimum number of points to form a cluster                       |
| radius     | 40      | Cluster radius, in pixels                                        |
| extent     | 512     | (Tiles) Tile extent. Radius is calculated relative to this value |
| generateId | false   | Whether to generate ids for input features in vector tiles       |
| nodeSize   | 64      | Size of the KD-tree leaf node. Affects performance               |
| log        | false   | Whether timing info should be logged                             |

### Methods

#### **`Load(points)`** 
Once we have create a super cluster object then we can cluster our points using `Load()` method. It creates all possible clusters for different zoom levels at once.
```c#
//This method should be called only once 
_superCluster.Load(points: _points);
```

#### **`GetClusters(bbox, zoom)`** 
For the given bbox array `[westLng, southLat, eastLng, northLat]` and integer `zoom`, returns an array of clusters and points.
```c#
var bbox = new double[] { -180, -85, 180, 85 };
//This method should be called on zoom in and zoom out events.
var clusterData = _superCluster.GetClusters(bbox: bbox, zoom: 16);

Console.WriteLine("clusterData.count: " + clusterData.Count);

//print clustered data
foreach (var output in clusterData.Select(JsonConvert.SerializeObject))
{
    Console.WriteLine(output);
}   
```
```c#

//you can filter between clusters and individual points from clusterData output like this
foreach (var geoJsonFeature in clusterData)
{
    if (geoJsonFeature is GeoPoint)
    {
        //This is single geo point
    }
    else
    {
        //This is a cluster
    }
}
```

## Authors
[**DevCrew.IO**](https://devcrew.io/)

### Connect with Us
[![](https://img.shields.io/badge/Website-DevCrew.IO-informational?style=flat&color=710F15)](https://devcrew.io)
[![](https://img.shields.io/badge/DevCrew.IO-informational?style=flat&logo=linkedin&color=0A66C2)](https://www.linkedin.com/company/devcrew-io)
[![](https://img.shields.io/badge/DevCrew.IO-informational?style=flat&logo=github&color=181717)](https://github.com/DevCrew-io)

## Contributing
Contributions, issues, and feature requests are welcome!

## Show your Support
Give a star if this project helped you.

## Copyright & License
Code copyright 2023–2024 [DevCrew I/O](https://devcrew.io/).
Code released under the [MIT license](https://github.com/DevCrew-io/SuperCluster-CSharp/blob/main/LICENSE).

SuperCluster-CSharp

SuperCluster-CSharp 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

SuperCluster-CSharp

SuperCluster-CSharp 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README