In regards to the effects of scale on vector data I learned that as the larger the scale the larger the units that are measured come out to be. Specifically with lengths, count, and perimeter of the hydrological features we were using in this lab. For raster data I was able to see that when resolution increased the average slope decreased.
Additionally in this lab we learned about gerrymandering which is the process in which people manipulate the boundaries of something in order to get results that are favorable to them. It can be visually measured through a variety of means such as calculating the compactness of an area using the Polbsy-Popper test or by simply looking at the shape, dimensions, or the number of enclaves that are associated with it. As you can see from the image attached the Congressional District 12 of North Carolina is by far the worst offender based on the Polbsy-Popper test and the fact it almost stretches the entire length of the state with a very thin width throughout its shape.
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