Hello,
I'm having some trouble using modelbuilder to create a generic model that will do the following:
1.) Buffer multiple inputs (sometimes I have 5 inputs other times I have 10), each with a different buffer distance.
2.) The buffer outputs are then merged together [to create buffer_merge.shp].
3.) buffer_merge.shp is then merged with another input dataset [to create buffer_merge2.shp]
4.) buffer_merge2.shp is then dissolved to create a single output layer named final_output.shp.
The model must be generic because, like I mentioned, the number of inputs and buffer distances change with each project.
To me this seems to be a fairly simple process but I can't seem to find a way to make it work.
Any ideas?