Hi Stephen,
It sounds like you want something a little different, but I'd suggest
reading about clustering techniques like k-means or computational
geometry approaches like Voronoi diagrams.
You may find that one of those fits your needs. If not, your approach
seems plausible. As a note about it, for each point, you could find the
angle of a vector from the center to the point. If you sort the list of
points by that angle, you'd be able to find your pie wedges that capture
your groupings.
Cheers,
Jim
https://en.wikipedia.org/wiki/K-means_clustering
https://en.wikipedia.org/wiki/Voronoi_diagram
On 05/10/2017 08:09 AM, Stephen More wrote:
Is there already a method/tool that can take X geopoints and equally
put them into Y regions ? i.e. 17 geopoints into 6 regions { 5 regions
would contain 3 points, 6th region contain 2 }. There is no constraint
to the area of the region.
If not I plan to write my own method:
1. Find weighted center of all geopoints
2. Create a circle that encompasses all geopoints
3. Create a pie shape from that circle, increase/decrease the size
until it contains desired amount of points.
4. Continue creating pie shapes until there are no more datapoints left.
Would there be any road blockers to implementing this method ? Is
there any sample code I can utilize to bootstrap this project ?
Thanks for any advice.
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