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A quantile classification is characterised by

  • A.classes centred on the arithmetic mean
  • B.an equal number of units in each class
  • C.an equal numerical width for each class
  • D.class limits placed at gaps in the data

Answer: B

Correct answer: an equal number of units in each class

Quantile classification puts the same count of observations in each class, so with five classes and a hundred units each class holds twenty. The result fills the legend evenly and always produces a visually balanced map, but it can place very similar values in different classes and very different ones in the same class - which is why equal interval or natural breaks may represent the data better even when the map looks worse.

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