I found this thread in the old ESRI forums with the same type of problem I am facing today. The solution to the problem is explained in little detail and since I am not an expert, I was wondering if somebody could describe it to me in little more detail.
We are doing a mental map analysis. We have let's say 50 polygons of a certain city square which are all different in shape, size and location. Our goal is to create a single polygon which would represent the answers from our whole input data. So basically, we need a method for generating a single polygon out of these 50 which would be an "average" polygon in size, shape and location.
Can somebody explain the process?
Answer
What if you used a grid approach? Convert each of the polygons to a raster, assign each cell a value of 1, then add all of the rasters together. The resulting polygon would be formed by the highest-value cells whose area equals the average area of the input polygons.
The cell size would have to be small enough to make the difference between the different polygons meaningful.
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