I have a point feature, which I have buffered using the estimated location error of each point. Each point has a different sized buffer, representing 95% confidence that the true location is withing the bounds of the buffered area.
I would like to generate a series of individual rasters (one for each of the 208 points) where the value of each cell equals 0.95/(the number of raster cells representing the buffered area). Cells representing smaller buffers have higher values.
Essentially, I think I would like to convert a multipart feature (the buffer polygons) to a SERIES of single part features (rasters representing the buffers).
Then I would like to sum the series of rasters, so that the values of each cell in the output raster represents the degree to which the buffers overlap. The more buffers that overlap, the higher the cell value will be.
Ultimately, I am trying to produce a relative probability surface, where areas where more smaller buffers overlap will have higher values than areas where fewer, or larger buffers overlap.
Any idea how I might do this?