Wednesday, May 8, 2013

Classification Methods Summary

For an advanced cartography class, I compared poverty to education through four different classification methods. The expected result should show high poverty in locations with no advanced background in education and low levels of poverty in locations with advanced backgrounds in education. After displaying the results, we can see that locations with low education do not always correlate to high poverty. A good example of why this correlation is skewed, is due to large cities. The diversity of cities such as Phoenix, or Tucson, skews the data.