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Clustering of locations on Map

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Nanda Reddy on 28 Jun 2016 19:06:11

When there are multiple locations the map should be able to cluster the locations based on the zoom level on the map.

Comments (5)
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Tom Nolan (NORTHEAST CSU) on 29 Sep 2023 06:49:44

RE: Clustering of locations on Map

This is a badly needed feature!

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Andrewnzinuk on 05 Jul 2020 23:05:51

RE: Clustering of locations on Map

Any update to this. As I think it is very important in the geospatial data world we live in.

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Power BI User on 05 Jul 2020 22:25:46

RE: Clustering of locations on Map

Clustering of plots on a map is a feature that is greatly required and needed for a better user experience. As a product owner I need the ability as follows
1. to cluster plots on a map plots that are overlapping or in close proximity of each other where it becomes impossible for user to hover or click a specific plot.
2. If the plots on the map are targeted we need to produce the cluster icon as a pie chart.
3. When clicking or hovering the pie chart, a table shall render with the details of all the plots contained in the hover.
4. When zooming out and the clustering shall become a smaller group of cluster until actual plots are visible.
5. When hovering the plotted icons, user shall have the ability to obtain relevant information about that plot based on the variable that the plot represent.

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Power BI User on 05 Jul 2020 22:25:42

RE: Clustering of locations on Map

Geo-spatially identify clusters of plots on a map
Greatly reduces the number of plots that are rendered by the mapping client
Makes it possible to plot 10s of thousands of coordinates
A cluster varies in size based on the number of plots in the cluster
Plots with targeting produce a cluster that is a pie chart
Each slice of the pie chart represents the count of plots that fall into a target range
The clustering algorithm executes on the backend so it is much faster than performing clustering in JavaScript
Works for all mapping solutions (non-vendor specific) like ESRI and BING JavaScript APIs
Zooming in causes re-evaluation
The plots outside of the view-able area are not considered by the clustering algorithm anymore and the clusters start to get smaller and break apart


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George on 05 Jul 2020 22:25:18

RE: Clustering of locations on Map

Clustering is a very important feature for a system that is trying to plot thousands of points on a map – i.e.: Outage Analytics solution. It can get very convoluted and hard to read that many data points for the users and that defeats the purpose of the map.