This worked for me! It actually worked better than I thought it would because I was able to incorporate all the steps into ModelBuilder since the cell counts for each of values were only 1 or 2! So instead of going into the attribute table to look for the the corresponding raster cell value, I just ended up using the new cumulative count field for reclassification. Thanks!
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Hi! I have a similar question to this post from 2019, but it looks like a solution was never posted. I'm looking to reclassify a development suitability raster that I created into 3 groups, where I have calculated the cell count I want for each of those groups. The input raster values range from (least suitable) 0 to 88.6954 (most suitable). I want group 1 to have a cell count of 50081, with values starting from 88.6954. Group 2 should have 67400 cells, and Group 3 are all the remaining cells. The cell count was derived from an estimated amount of area that an urbanized area with grow in the next 5 and 10 years. I've tried Slice - but we can't specify the number of cells or area per group. (Otherwise this would have been the perfect tool). Data is available here for reference. UrbExp_ExistNull.tif = the raster I'm trying to reclassify Urban_Raster.tif = Existing urban areas that were nulled out of the above raster slice3.tif = the results if I ran the Slice tool, 3 classes, natural breaks Thanks!
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