Cartographic Principles, Classification and Symbology

Cartography is the art and science of making maps, and in the context of geographic information systems (GIS) it is a critical step in turning data into information people can actually use. Maps are not just pictures of geography—they are carefully designed tools that help us navigate, see patterns, understand relationships, and share knowledge about the world around us.

A map’s effectiveness comes not only from the data behind it, but also from how its elements are designed and organized. Titles, legends, scale bars, symbols, and the map body all play a role in communication—but whether they succeed depends on applying solid cartographic principles.

In this post, we’ll first walk through six of the most important cartographic principles that every mapmaker (and GIS user) should consider when designing a map. We’ll then move into classification methods and symbology, which are essential for turning data into clear and meaningful visual stories.

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Data Cleaning and Exploratory Process

Tableau is a powerful data visualization and business intelligence software that helps individuals and organizations transform raw data into insights. Known for its intuitive drag-and-drop interface, Tableau enables users to create dynamic dashboards, interactive visualizations, and detailed reports without requiring extensive technical expertise. Tableau supports data integration from multiple sources, including spreadsheets, databases, and cloud services, making it versatile for various industries and use cases.

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