Lecture

Thematic attributes and classification

Description

This lecture covers the processing of attributes and the class setting in statistical thematic mapping, including the creation of thematic maps, the manipulation of different types of data, and the use of symbols and proportional circles for absolute values. It also discusses the creation of maps in color ranges, qualitative and quantitative maps, and the importance of the class setting operation. Five methods of discretization for relative quantitative data are presented, along with the main rules to observe during the class setting process.

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