This week we had multiple scenarios we had to do and this is the first blog post of that we have to make. In this one Scenario 2 Analysis C we were taking multiple files starting out Land cover, Soil and slope files to reclassify so we could give them different suitability values for the various new values we were assigning to them. We then had to create a distance file for the river and road files before reclassifying these as well. My analysis up to this point was pretty straight forward we've ran these tools many times so far. The reclassify spatial analyst tool and the Euclidean Distance tool. We then had to use the weight overlay tool to combine all of our reclass files into one complete raster. This tool tricked me up for a second because I didn't set the environment correctly which resulted in some random results. But with a equal weight (all 20 percent in this case) we had a more dense map in most of the color categories but especially in the green(5) and red(2). You can tell from the image on the right where we did a alternative weight class. In this one we did only 10 percent in the road and river files. I then shifted that extra 20 percent into the slope file for a total of 40 percent. From doing this it phased out most of the map coloring. I believe this shows that the slopes that are being excluded are much more predominate in this case than the other classes. We then filled out a table comparison chart as well detailing the km2 distances that were altered between the two from changing the percentage weights. This was a great assignment example for alternating statistics between similar projects. It was great learning experience.
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