June 2017
Beginner
428 pages
10h 2m
English
The next flaw we correct is much less obvious and could be argued to be an error. The background of our data frame is exactly the same as the rest of the paper. This can introduce some ambiguity, which we can resolve by changing the background in our study area to another color and creating an additional Other category for land use in our legend. The easiest way to do this would be adding a fill to the administrative boundary and pulling it down to the bottom of the layer list, therefore the rendering pipeline. The problem with this approach is our srtm layer gets blended into these new areas, creating a lot of noise. Fortunately, with some clever processing, we can create the negative of our land use layer using the ...