This kind of question can be answered by a classic N-polygon overlay. AFAIK PostGIS doesn't have such a function directly, so you will have to compute the noding of the polygon linework, followed by a polygonization step. Then take a interior point of each resultant polygon and compute how many source polygons it lies in. You can then union the set of polygons for each count of interest.

Be warned - if the sample below is representative of your data, you may well encounter TopologyExceptions, since it appears that there is a lot of nearly coincident linework.

No doubt others can weigh in if there is a better way of doing this in PostGIS.

On 7/30/2013 9:37 AM, Sparr wrote:
It was suggested on IRC that I ask this question to this mailing list.

I have a set of 1000 (or many more) polygons, most of which intersect with each other. I want to produce a polygon (or set of polygons, or an empty set) describing the area covered by N-or-more of those polygons. For N=1, the answer is the union of all of the polygons. For N=1000, the answer is their intersection. The naive way to calculate N=2 through N=999 is to make a list of combinations of polygons, intersect those, and then union the results, but this will require a prohibitively large number of union and intersection operations in some cases.

To illustrate the problem, here is an example with a smaller set of data (422 polygons right now):

http://regionaldifferences.com/results.html?region=New%20England&lat=42&lon=-73&zoom=6

If you hover your mouse over the center of Massachusetts you'll see that 98% of the polygons (415/422 currently) intersect there. Syracuse NY is about 25%.

What I want is the outline of specific percentiles on this map. I want a single polygon representing the 50%-or-more area, and a single polygon representing the 90%-or-more area, etc.

Can PostGIS do this without my needing to assemble a string of union and intersection operations for the query? I would prefer not to rasterize the data unless it proves infeasible to do this with the full precision vector data.


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