Data Classification Lab 4
The data classification lab focused on analyzing census data using four different classification methods. The four different classification methods included: Equal Interval, Quantile, Standard Deviation, and Natural Breaks. By using the same data with four different classification methods we were able to to see how differently data can be presented. Equal Interval: The equal interval classification class breaks are determined by dividing the range into desired number of equal-width class intervals. With the classes being divided into equal-width classes it makes the map easy to interpret and can help map complex spatial patterns. The classes do not consider the distribution of the data on a number line. Quantile: The quantile classification equally divides the total number of values into the desired number of classes. An issue with using this method is that it can place similar values into different classes or different values in the same class . Standard Deviation: Th...