Classification Quantitative Data is the determining of class intervals and class boundaries in that data to be mapped and it depends in part on the number of observations. Most of the maps are designed with 4-6 classifications .There are five classification methods for making a graduated color or graduated symbol map. All these methods reflect different patterns affecting the map display. They are:
- Natural breaks
- Quantile
- Equal interval
- Standard deviation
- Equal area
According to this method, the value range of the attribute is divided into intervals that are assigned different colors. Geographical objects are painted in the map according to the intervals into which the corresponding attribute values fit. The tools include direct manipulation controls for specifying arbitrary class boundaries, graphs representing statistical distribution of attribute values, means for automatic classification, calculation of statistical quality of a classification, and various color schemes that can be applied to represent classes on a choropleth map. Historically, classification was used in order to minimize the number of colors needed for representing data values on printed maps.
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