Coder Social home page Coder Social logo

cluster's Introduction

Cluster

Build Status Language Version License Platform Carthage compatible


Cluster is an easy map annotation clustering library. This repository uses an efficient method (QuadTree) to aggregate pins into a cluster.

If you want to try it, simply run:

$ pod try Cluster

Features

  • Adding/Removing Annotations
  • Clustering Annotations
  • Multiple Managers
  • Dynamic Cluster Disabling
  • Custom Cell Size
  • Custom Annotation Views
  • Animation Support
  • Documentation

Requirements

  • iOS 8.0+
  • Xcode 9.0+
  • Swift 4 (Cluster 2.x), Swift 3 (Cluster 1.x)

Usage

Follow the instructions below:

Step 1: Initialize a ClusterManager object

let clusterManager = ClusterManager()

Step 2: Add annotations

let annotation = Annotation()
annotation.coordinate = CLLocationCoordinate2D(latitude: latitude, longitude: longitude)
annotation.style = .color(color, radius: 25) // .image(UIImage(named: "pin"))
clusterManager.add(annotation)

Step 3: Return the pins and clusters

func mapView(_ mapView: MKMapView, viewFor annotation: MKAnnotation) -> MKAnnotationView? {
    var view = mapView.dequeueReusableAnnotationView(withIdentifier: identifier)
    if view == nil {
        view = ClusterAnnotationView(annotation: annotation, reuseIdentifier: identifier, style: style)
    } else {
        view?.annotation = annotation
    }
    return view
}

Step 4: Reload the annotations

func mapView(_ mapView: MKMapView, regionDidChangeAnimated animated: Bool) {
    clusterManager.reload(mapView) { finished in
        // handle completion
    }
}

ClusterManagerDelegate

The ClusterManagerDelegate protocol manages displaying annotations.

// The size of each cell on the grid at a given zoom level.
func cellSize(for zoomLevel: Double) -> Double { ... }

// Whether to cluster the given annotation.
func shouldClusterAnnotation(_ annotation: MKAnnotation) -> Bool { ... }

Customization

The ClusterManager exposes several properties to customize clustering:

var zoomLevel: Double // The current zoom level of the visible map region.
var maxZoomLevel: Double // The maximum zoom level before disabling clustering.
var minCountForClustering: Int // The minimum number of annotations for a cluster. The default is `2`.
var shouldRemoveInvisibleAnnotations: Bool // Whether to remove invisible annotations. The default is `true`.
var shouldDistributeAnnotationsOnSameCoordinate: Bool // Whether to arrange annotations in a circle if they have the same coordinate. The default is `true`.
var clusterPosition: ClusterPosition // The position of the cluster annotation. The default is `.nearCenter`.

Annotations

The Annotation class exposes a style property that allows you to customize the appearance.

var style: ClusterAnnotationStyle // The style of the cluster annotation view.

You can further customize the annotations by subclassing ClusterAnnotationView and overriding configure:

override func configure() {
    super.configure()

    // customize
}

Removing Annotations

To remove annotations, you can call remove(_ annotation: MKAnnotation). However the annotations will still display until you call reload().

In the case that shouldRemoveInvisibleAnnotations is set to false, annotations that have been removed may still appear on map until calling reload() on visible region.

Installation

CocoaPods

To install with CocoaPods, simply add this in your Podfile:

use_frameworks!
pod "Cluster"

Carthage

To install with Carthage, simply add this in your Cartfile:

github "efremidze/Cluster"

Communication

  • If you found a bug, open an issue.
  • If you have a feature request, open an issue.
  • If you want to contribute, submit a pull request.

Mentions

Credits

License

Cluster is available under the MIT license. See the LICENSE file for more info.

cluster's People

Contributors

efremidze avatar andris-zalitis avatar eleev avatar funkenstrahlen avatar gallettube avatar the-freshlord avatar nikitabelosludtcev avatar trentfitzgibbon avatar

Watchers

James Cloos avatar Ngo Quoc Thang avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.