M4 Data Classification

This weeks lab taught about types of classification schemes and thematic maps. The task was to create a layout to compare and contrast these different methods and reasons for using each. The first of the two layouts was created by inputting the percentages of Age 65 Up census data for Miami-Dade counties. It uses 4 of the classification schemes; natural breaks, quantile, equal interval, and standard deviation. This evaluation of percentages shows us how the different methods highlight certain aspects of a data field, and that they can be utilized in appropriate situations.  

The second layout shows the same census data but with the input being based on the population count normalized by area. This type of data scheme is used to highlight population density. It shows where actual numbers are, not just percentages of various amounts. 




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