You can apply listeners to the markers here. You can also override the PreapareLeafletMarker method. If you have a lot of markers, you can create the icons and popups on the fly in order to improve their performance. You can attach to the markers an icon object and a popup content # Setting up a Leaflet icon or a Leaflet popup **Must be called when ANY changes are made.**Įach marker has a data object where you can specify your data. Higher number means more markers "merged". You can specify a number indicating the area of the cluster. The category can be a number or a string, but in order to minimize the performance cost, it is recommended to use numbers between 0 and 7. You can specify the size and margin which affect when your clusters and markers will be merged. PruneClusterForLeaflet(( #set-the-clustering-size), margin) Var marker = new PruneCluster.Marker(latitude, longitude) Var pruneCluster = new PruneClusterForLeaflet() The markers can be filtered easily with no performance cost. The size of a cluster can be adjusted on the fly *(())* Extend clustering with HTML markers and custom property expressions. This way, you can create cluster icons adapted to their content. Then a small object representing the number of markers for each category is attached to the clusters. You can specify a category for the markers. You can specify the weight of each marker.įor example, you may want to add more importance to a marker representing an incident, than a marker representing a tweet. If you prefer real world data, the ( ) is computed in 60ms *(())*. It is also fast enough for mobile devices. One half of markers is moving randomly and the other half is static. These values are tested with random positions, on a recent laptop, using Chrome 38. Be aware that the FastMarkerCluster class passes an empty list to the parent class’ init method during initialisation. Using FastMarkerCluster it is possible to render 000’s of points far quicker than the MarkerCluster class. Number of markers|First step|Update (low zoom level)|Update (high zoom level) Add marker clusters to a map using in-browser rendering. **Example: Realtime clusters of tweets.** *The library is designed for large datasets or live situations.* The memory consumption is kept low and the library is fast on mobile devices, thanks to a new algorithm inspired by collision detection in physical engines. It's working with ( ) as an alternative to ( ). PruneCluster is a fast and realtime marker clustering library.
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