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<DIV>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.</DIV>
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<DIV>Cheers,</DIV>
<DIV> Craig<BR><BR>>>> Ivan Grcic <igrcic@gmail.com> 17/03/2009 9:14 p.m. >>><BR>Hi, <BR><BR>youre talking about vectors here right? Have you tried cluster strategy?<BR><BR>Cheers<BR><BR></DIV>
<DIV class=gmail_quote>2009/3/17 Craig Stanton <SPAN dir=ltr><<A href="mailto:c.stanton@niwa.co.nz">c.stanton@niwa.co.nz</A>></SPAN><BR>
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<DIV>Hi All,</DIV>
<DIV>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?</DIV>
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<DIV>Cheers,</DIV>
<DIV>Craig</DIV><BR>
<DIV>NIWA is the trading name of the National Institute of Water & Atmospheric Research Ltd. </DIV></DIV><BR>_______________________________________________<BR>Users mailing list<BR><A href="mailto:Users@openlayers.org">Users@openlayers.org</A><BR><A href="http://openlayers.org/mailman/listinfo/users" target=_blank>http://openlayers.org/mailman/listinfo/users</A><BR><BR></BLOCKQUOTE></DIV><BR><BR clear=all><BR>-- <BR>Ivan Grcic<BR><BR>
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