Data Classification, it is quite a tricky thing! This lab had us examine a couple different ways to classify data sets. We used the natural break or Jenks, standard deviation, quantile, and equal interval. There are quite a few subtle differences between the map types. I preferred the natural break map because of the legend distribution. Also, I like that graduated color scale the best.
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEitOZXlav_3HZQWzvHLF0IFrAHZKo3zr7fkXYd08n1fc-nG-K_ihdhJ3GFHi8B6vQQ5LP0AY1r6ZrnCE7Toayth-t7VUG0urq39cC0_BEYJ6tAoaQhYyyHcwot2aJZca08myXgtDWFs0PeV/s1600/Pop_Black.jpg) |
Four different data classification schemes |
The map shown below was my favorite, it is enlarged so you can see the details better.
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjPGNLaIVWGpj8-8ObEpu5ykeLGF_3khlENC1jxLUuCNrq50C5BsPf4PWiLEbF_FKX_DT1LK9XTZAv7fUT_OTrFRjCYKJuiG73p6h7mlTZHW9uclt3n-Ho_xTCuOoHpZt9P-02C6R7Bmyro/s1600/Pop_BlackBest.jpg) |
Larger natural break map |
Overall, this lab went very smoothly because it was fairly straight forward to change the classification scheme and color scheme. I am becoming much more comfortable in working with ArcMap which is a good thing. Hopefully I will continue gain an understanding so that eventually I will be able to perform tasks using it without looking at instructions!
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