Classification Methods.......
For graduate colour or Symbol
• Default method
• Identifies break points by looking for groupings and inherent in the data
• Each class assigned the same number of features
eg: lowest 5 in one class and next 5 in the next class
• Best for the data that are linearly distributed
• Classifying polygon features by finding break points in the values
- may have low, medium and high class, but have different number of values
• Total areas of polygons in each class almost same (Weight in the classification
equal to its area)
• Divided range of values into equal sized sub ranges
eg: class value range (113)
Low = 12-125, medium = 126-238 High = 239 – 351
• best for to show known percentages