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Information about these Maps The maps generated from the indicator and year you have chosen use a quantile legend. A quantile map displays a distribution so each classification group contains an equal number of features. For instance, in a quantile map with 5 categories with 100 countries, the values of an indicator are assigned to five categories so that each category contains 20 countries. Because features are grouped by the number of features in each class, the resulting map can be misleading. Similar features can be placed in adjacent classes, or features with widely varying values can be put in the same class. The advantage of quantile legends s that they allow us to visualize more variation where the indicator values might clump together. You can make a map for a specific indicator for a series of different years in order to visualize change over time. However, be aware that since the distribution of the lowest and highest values might change from year to year, the countries within any given quantile interval might also vary from year to year, which makes a comaprison from year to year more dificult. You can click Where does the data come from? to learn more about the datasets used for these maps. |