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

Demo Screenshots

Features

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

Requirements

  • iOS 8.0+
  • Xcode 9.0+
  • Swift 5 (Cluster 3.x), Swift 4 (Cluster 2.x), Swift 3 (Cluster 1.x)

Demo

The Example is a great place to get started. It demonstrates how to:

  • integrate the library
  • add/remove annotations
  • reload annotations
  • configure the annotation view
  • configure the manager

Demo GIF

Demo Video

$ pod try Cluster

Installation

Cluster is available via CocoaPods and Carthage.

CocoaPods

To install Cluster with CocoaPods, add this to your Podfile:

pod "Cluster"

Carthage

To install Cluster with Carthage, add this to your Cartfile:

github "efremidze/Cluster"

Usage

The Basics

The ClusterManager class generates, manages and displays annotation clusters.

let clusterManager = ClusterManager()
Swift

Adding an Annotation

Create an object that conforms to the MKAnnotation protocol, or extend an existing one. Next, add the annotation object to an instance of ClusterManager with add(annotation:).

let annotation = Annotation(coordinate: CLLocationCoordinate2D(latitude: 21.283921, longitude: -157.831661))
manager.add(annotation)
Swift

Configuring the Annotation View

Implement the map view’s mapView(_:viewFor:) delegate method to configure the annotation view. Return an instance of MKAnnotationView to display as a visual representation of the annotations.

To display clusters, return an instance of ClusterAnnotationView.

extension ViewController: MKMapViewDelegate {
    func mapView(_ mapView: MKMapView, viewFor annotation: MKAnnotation) -> MKAnnotationView? {
        if let annotation = annotation as? ClusterAnnotation {
            return CountClusterAnnotationView(annotation: annotation, reuseIdentifier: "cluster")
        } else {
            return MKPinAnnotationView(annotation: annotation, reuseIdentifier: "pin")
        }
    }
}
Swift

For performance reasons, you should generally reuse MKAnnotationView objects in your map views. See the Example to learn more.

Customizing the Appearance

The ClusterAnnotationView class exposes a countLabel property. You can subclass ClusterAnnotationView to provide custom behavior as needed. Here's an example of subclassing the ClusterAnnotationView and customizing the layer borderColor.

class CountClusterAnnotationView: ClusterAnnotationView {
    override func configure() {
        super.configure()

        self.layer.cornerRadius = self.frame.width / 2
        self.layer.masksToBounds = true
        self.layer.borderColor = UIColor.white.cgColor
        self.layer.borderWidth = 1.5
    }
}
Swift

See the AnnotationView to learn more.

Annotation Styling

You can customize the appearance of the StyledClusterAnnotationView by setting the style property of the annotation.

let annotation = Annotation(coordinate: CLLocationCoordinate2D(latitude: 21.283921, longitude: -157.831661))
annotation.style = .color(color, radius: 25)
manager.add(annotation)
Swift

Several styles are available in the ClusterAnnotationStyle enum:

  • color(UIColor, radius: CGFloat) - Displays the annotations as a circle.
  • image(UIImage?) - Displays the annotation as an image.

Once you have added the annotation, you need to return an instance of the StyledClusterAnnotationView to display the styled annotation.

func mapView(_ mapView: MKMapView, viewFor annotation: MKAnnotation) -> MKAnnotationView? {
    if let annotation = annotation as? ClusterAnnotation {
        return StyledClusterAnnotationView(annotation: annotation, reuseIdentifier: identifier, style: style)
    }
}
Swift

Removing Annotations

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

manager.remove(annotation)
Swift

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.

Reloading Annotations

Implement the map view’s mapView(_:regionDidChangeAnimated:) delegate method to reload the ClusterManager when the region changes.

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

You should call reload() anytime you add or remove annotations.

Configuring the Manager

The ClusterManager class exposes several properties to configure 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 distanceFromContestedLocation: Double // The distance in meters from contested location when the annotations have the same coordinate. The default is `3`.
var clusterPosition: ClusterPosition // The position of the cluster annotation. The default is `.nearCenter`.
Swift

ClusterManagerDelegate

The ClusterManagerDelegate protocol provides a number of functions to manage clustering and configure cells.

// 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 { ... }
Swift

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.

GitHub

https://github.com/efremidze/Cluster