Vector to Raster, Reclassify and Raster Calculator
Create a new folder called rastercabin. All output will go to this location. Do not forget to
set the spatial analyst option for a working directory. All output grids will be 10m cells.
Create a project (mxd) called rastercabin to display your final areas and save this in the
new rastercabin directory. Do not remove the calculated grid(s) from the dataframe.
Rename any grids to help understand the process it was created from.
(you might want to work local on the C:\ then copy the data to T:\)
Task: To find all the areas that contains ponderosa vegetation, private land and
within ¾ mile of primary and secondary roads
Convert vegds from the cabin project to raster with 10m cells using the veg item
Convert ownds from the cabin project to raster with 10m cells using the user item
Reclassify veg to only areas that contain ponderosa
(you might need the lut file ? values 3 & 22)
Reclassify the ownership to only areas that contain private.
( I think it is value 5)
Create a distance grid from the rds3or4 coverage (or ppprebuff for ¾ miles main access)
Reclassify the distance grid for only ¾ miles (units are in meters)
Use the raster calculator and find the areas that are private and contain ponderosa and are
within ¾ mile of roads 3 and 4. (vegreclass * ownreclass * rdsreclass) = final areas 1
Make this layer permanent and call it finalareas1
Add your final cabin sites (vector coverage) from the previous assignment and compare.