are you using a "Marker" layer or a "Vector" layer? If you are using a "Vector" layer for your "Points" then you can use the clustering stratgy. The "Vector" layer can do almost everything the "Marker" layer can to and more, and is prefered by most people. The "Marker" layer is sorta the old way of doing things, but still has some benifits. In your case I think moving to a "Vector" layer so you can use clustering is probably the way to go.
________________________________ From: [email protected] [mailto:[email protected]] On Behalf Of Craig Stanton Sent: Tuesday, March 17, 2009 4:00 PM To: Ivan Grcic; [email protected] Subject: Re: [OpenLayers-Users] Markers that are too close to distinguish Ahh clustering. I've been searching for all manner of things related to the problem but not 'clustering' which is the name of the solution. No vectors here as far as I can tell. I just mean points. In KML I'd say placemarks. Cheers, Craig >>> Ivan Grcic <[email protected]> 17/03/2009 9:14 p.m. >>> Hi, youre talking about vectors here right? Have you tried cluster strategy? Cheers 2009/3/17 Craig Stanton <[email protected]> Hi All, I'm trying to display a load of points (ranging from 5-2000 depending on user prefs) across New Zealand and many of them end up very close to another one. So close that you'd have to zoom in well below the level that the baselayer becomes a blur before being able to tell them apart. I like the way Google Earth in all it's 3D goodness smoothly separates coincident markers but I've been searching for a while and seen no such solution for any web based mapping tool. It seems like something others would come across too and I'd rather not write something to recalculate the marks at each zoom, grouping them together as the user zooms out. Has anyone here dealt with this problem and found a good solution? Cheers, Craig NIWA is the trading name of the National Institute of Water & Atmospheric Research Ltd. _______________________________________________ Users mailing list [email protected] http://openlayers.org/mailman/listinfo/users -- Ivan Grcic NIWA is the trading name of the National Institute of Water & Atmospheric Research Ltd.
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