Callsign labels overlap when from the same QTH Locator

[ZilvinasJonaitis]

If there are several QSOs from the same QTH Locator, the callsign labels overlap each other. In illustration below the overlapping callsigns are in red, while proposal how to solve the problem is in blue.

[kareiva]

Suggest to use OpenLayers Clustering: https://openlayers.org/en/latest/examples/cluster.html

[ZilvinasJonaitis]

Suggest to use OpenLayers Clustering: https://openlayers.org/en/latest/examples/cluster.html

Clustering and point randomization algorithm is a good solution for fixed scale/zoom map levels, however it doesn't solve the problem of overlapping labels on small and smaller scale/zoom map levels. This can be clearly seen in the illiustration below where clusters of adjacent squares loose callsign legibility. So, clusterization of points per square will maintain the problem even on larger scale/zoom map levels. I believe that less clutter on any map makes it more readable and least complex solution for the same problem should be preferable following Occam's razor principle. Although, the cluster algorithm is feasible in special case scenarious that could be developed in the future as new features of the project.

[kareiva]

Please provide a working code proposal as a pull request :)

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On Sun, 19 Feb 2023, 12:49 ZiJo, ***@***.***> wrote: Suggest to use OpenLayers Clustering: https://openlayers.org/en/latest/examples/cluster.html Clustering and point randomization algorithm is a good solution for fixed scale/zoom map levels, however it doesn't solve the problem of overlapping labels on small and smaller scale/zoom map levels. This can be clearly seen in the illiustration below where clusters of adjacent squares loose callsign legibility. So, clusterization of points per square will maintain the problem even on larger scale/zoom map levels. I believe that less clutter on any map makes it more readable and least complex solution for the same problem should be preferable following Occam's razor principle <https://en.wikipedia.org/wiki/Occam%27s_razor>. Although, the cluster algorithm is feasible in special case scenarious that could be developed in the future as new features of the project. [image: paveikslas] <https://user-images.githubusercontent.com/60195284/219942638-b663dbe1-865c-442a-b055-1b07ff234e54.png> — Reply to this email directly, view it on GitHub <#99 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AA5VYTI5L6J2OB473AUXDATWYH3CDANCNFSM6AAAAAAU6ARUKU> . You are receiving this because you commented.Message ID: ***@***.***>