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https://issues.apache.org/jira/browse/SIS-45?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17481789#comment-17481789
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Martin Desruisseaux commented on SIS-45:
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The quad-tree has been refactored in a new class:
[PointTree|https://sis.apache.org/apidocs/org/apache/sis/index/tree/PointTree.html].
The distance calculation issue is not solved, but one possible approach is to
use
[GeodeticCalculator|https://sis.apache.org/apidocs/org/apache/sis/referencing/GeodeticCalculator.html]
for computing a circle around the desired position (that class can express a
circle using Bézier curves with a given precision threshold).
> Performance improvement of queryByPointRadius
> ---------------------------------------------
>
> Key: SIS-45
> URL: https://issues.apache.org/jira/browse/SIS-45
> Project: Spatial Information Systems
> Issue Type: Improvement
> Components: Referencing
> Reporter: Peter Karich
> Assignee: Chris A. Mattmann
> Priority: Major
>
> If I didn't make a mistake a search with the normal distance method took
> ~2.4s and with this distance method it takes only about 0.7s:
> {code}
> public static double getHaversineDistance(double fromLat, double fromLon,
> double toLat, double toLon) {
> double dLat = Math.toRadians(toLat - fromLat);
> double dLon = Math.toRadians(toLon - fromLon);
> double a = Math.sin(dLat / 2) * Math.sin(dLat / 2)
> + Math.cos(Math.toRadians(fromLat)) *
> Math.cos(Math.toRadians(toLat)) * Math.sin(dLon / 2) * Math.sin(dLon / 2);
> return EARTH_RADIUS * 2 * Math.asin(Math.sqrt(a));
> }
> {code}
> Also one should think about normalizing the distance before the search so
> that one does not need the whole last line which should give further speed
> improvements.
> I'm still unsure why it takes roughly the same time in my example for 10km,
> 20km and 40kmm where at every step a lot more nodes are involved. Normally I
> would say the mode nodes - the more comparisons it'll take and the slower it
> should get. But it doesn't. Probably I'm measuring wrong?
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