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    <p>Not sure why you want to go to a GIF/PNG overlay, you can do this directly in KML. I'm assuming that most of your performance problem was being caused by points outside the user's current view, i.e. the user is looking at New York but you have points in Los Angeles that are wasting memory because they aren't visible. If you really have 16,000 points that are all visible at once for a typical then yes you'll need to pursue a different strategy.</p> <p>If the above applies, the procedure would be as follows:</p> <ol> <li>Determine the center &amp; extent of the map</li> <li>Given that you should be able to calculate the lat/long of the upper left and lower right corners of the map.</li> <li>Iterate through your database of points and check each location against the two corners. Longitude needs to be greater (signed!) than the upper left longitude and less than the lower right longitude. Latitude needs to be less than the upper left latitude (signed!) and greater than the lower right latitude. Just simple comparisons, no fancy calculations required here.</li> <li>Output the matching points to a temporary KML for the user.</li> <li>You can feed <a href="http://maps.google.com/maps?f=q&amp;hl=en&amp;geocode=&amp;q=http:%2F%2Fwhatstheharm.net%2Fmaps%2Fhomeopathy.kml&amp;ie=UTF8&amp;ll=9.031205,-128.873246&amp;spn=177.2351,360&amp;z=1" rel="nofollow noreferrer">KML directly into Google Maps</a> and let it map it, or you can use the <a href="http://googlemapsapi.blogspot.com/2007/03/kml-and-georss-support-added-to-google.html" rel="nofollow noreferrer">Javascript maps API</a> to load the points via KML.</li> </ol> <p>It might not solve your exact problem here, but for related issues you might also look into the <a href="http://code.google.com/apis/maps/documentation/staticmaps/" rel="nofollow noreferrer">Google Static Maps API</a>. This allows you to create a static image file with placemarkers on it that will load very quickly, but won't have the interactivity of a regular Google map. Because of the way the API is designed, however, it can't handle anywhere near 16,000 points either so you'd still have to filter down to the view.</p>
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    1. POGoogle Maps Overlays
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    1. COThe plan is to have a national level view showing the full data set, so yes, we really need to make all of the points appear concurrently. We will allow zooming and can work with zoom level view radiuses to use smaller KML data sets as the user drills down, but we need to be able to display all.
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    2. COI would adopt a strategy of finding clusters of events that you can reduce to one pushpin on the national map that then hyperlinks to a view of just that city. The method would be similar but you'd need to use a version of the Haversine formula to find points that were within "x" miles.
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