Data Classification

Module 6 - Data Classification

On this week’s assignment we were asked to classify data from the US Census Bureau 2010 for the Miami-Dade County area. Using this data in ArcMap 10.3 we were asked to make a map showing all four types of classifications Equal Intervals, Quantile, Standard Deviation and Natural Breaks.

Equal Intervals: Divides a set number values into groups that contain an equal range of values.

Quantile: Divides the total data range into equal numbers of observations, then the values are placed into groups by their numerical order.

Standard Deviation: Are numerical value used to show how widely based divisions are in a group which is above or below the average value.

Natural Breaks:  Tries to reduce the values within the classes and maximize the values between the classes. 

This was a fun map to make. I enjoyed putting it together and figuring out how to layout the four different classifications and seeing how the same data is displayed in each classification. I am not sure if I understand how all the classifications work and how should they be used, but I will keep working to understand them and I am sure in time, it will become more clear to me.