updating scenario generation proximity data to actually partially run the model, do an actual clip of the raster, and account for a test where we don't use the aoi

git-svn-id: svn://scm.naturalcapitalproject.org/svn/invest-test-data@172 a1e471e8-3ae1-4eeb-aa86-f41caf2650e8

git-svn-id: svn://scm.naturalcapitalproject.org/svn/invest-test-data@164 a1e471e8-3ae1-4eeb-aa86-f41caf2650e8

updating regression data for scenario gen because of update to pygeoprocessing mask function is more accurate

git-svn-id: svn://scm.naturalcapitalproject.org/svn/invest-test-data@144 a1e471e8-3ae1-4eeb-aa86-f41caf2650e8

git-svn-id: svn://scm.naturalcapitalproject.org/svn/invest-test-data@100 a1e471e8-3ae1-4eeb-aa86-f41caf2650e8

git-svn-id: svn://scm.naturalcapitalproject.org/svn/invest-test-data@94 a1e471e8-3ae1-4eeb-aa86-f41caf2650e8