This map shows that the counties with the highest percentage of Asians are generally located along the coasts, particularly the west coast. The classification method used was the Geometric Interval algorithm, which attempts to find a balance between having a similar number of elements per class and having consistently-sized class ranges. Since the lower bound of the highest-percentage class is a mere 7.8% we can infer that a majority of counties in the United States have a very small proportion of Asians.
This map indicates that Blacks are generally concentrated in the South - though there are also high percentages in urban areas throughout the rest of the country, such as in LA county. The distribution of Blacks across the United States appears much more polarized than the distribution of Asians - across the northern United States most counties have a population of less than 0.2% Blacks, while in the south, nearly every county has 27% or above. Once again, the Geometric Interval classification method was used. The generally higher class percentage values suggest that Blacks make up a greater proportion of the total US population than Asians.
This map shows the percentage of the population identifying themselves as "Some other race," using the Geometric Interval classification method. There appears to be a higher concentration of these individuals in the western United States than the east, with particularly high concentrations in the Southwest. Interestingly, nearly the entire state of New Mexico has over 7.6% of its population identifying itself as "some other race." There are also significant proportions in Florida, North Carolina, and much of New England.The Geometric Interval classification generally created broad distribution of colors across the map, which was effective in portraying the differences between individual counties. However, it may have masked the relatively low overall population of Asians and those of "some other race." Thus, although this census data is available freely to the public, it can be mapped in a variety of different ways depending on the mapper's desired emphasis.
GIS is an extremely powerful tool which facilitates analysis of collections of raw data. With a bit of work, it can be used to transform this numeric data into visualizations which make geometric patterns immediately obvious to any viewer. While I appreciate the principles behind GIS and recognize its potential, I found the ArcGIS software we used to be quite unintuitive. It had an extremely steep learning curve and performing simple tasks was often unnecessarily complex. However, with the increasing popularity and accessibility of GIS, this is an issue which will likely resolved with time. I was surprised with the already-high availability of GIS data across the Internet, which continues to increase daily. Undoubtedly, GIS is an incredibly useful development; with applications to so many fields, soon it will be virtually ubiquitous.

















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