Module 4

 

In lab this week we worked on presenting data with different classifications. This was very helpful in visualizing the way that data patterns can be revealed of concealed by different methods of classifications. Equal interval classification groups values by an equal interval for each class. The high and low value is determined by the data and the interval is determined by subtraction of the highest value and lowest value. This classification compares the amount of a value relative to other values. In quantile classification, each class contains an equal number of features. This can create misleading results because values with different data can be placed in the same class while similar values can be placed in different classes. Standard deviation method shows how much a value differs from the mean. Classes are created with equal value ranges that are a proportion of the standard deviation. Natural breaks are data specific classifications and not useful for comparing multiple maps of different data.