Jenks Natural Breaks Classification
Cartographers and map makers can utilize the Jenks method to identify logical break points in a data set by grouping similar values that "minimize differences between data values in the same class and maximize the differences between classes." The features are divided into classes whose boundaries are set where there are relatively big jumps in the data values. When making choropleth maps, the Jenks classification method can be advantageous because it identifies real classes within the data. Choropleth maps that use this method will accurately portray trends found in the data.
The Jenks Natural Breaks Classification system is a data classification method designed to optimize the arrangement of a set of values into "natural" classes. A Natural class is the most optimal class range found "naturally" in a data set. A class range is composed of items with similar characteristics that form a "natural" group within a data set. This classification method seeks to minimize the average deviation from the class mean while maximizing the deviation from the means of the other groups. The method reduces the variance within classes and maximizes the variance between classes
Our Mission
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Our Plan
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Our Vision
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Frequenty Asked Questions
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