Hi, I am doing an weighted overlay analysis with five rasters. I am using a common scale from 1 to 10 (10 being most suitable and 1 being the least suitable). I have some questions about two of the rasters:
One raster is originally a vector dataset of buildings I want to stay away from as much as possible, but not exclude completely. Thus, the raster cells containing building are classified to 1 (less suitable), but my question is, what do I classify the surrounding raster cells where there are no buildings? Is it correct to classify them to 10 - most suitable?
I also have a raster where the situation is the opposite: this dataset contains an area I want the analysis to stay as close to as possible (originally a vector dataset now converted to raster). Therefore, the raster cells which contains this wanted area is classified to 10, but what do I classify the surrounding cells to? In this case the surrounding raster cells are not the least suitable, they are just not as suitable as the cells with the wanted area...In my head it would be wrong to classify them as 1 (least suitable).
Please ask if anything is unclear.