Cartography & map design

The decisions that turn a correct plot into a map someone can read: hierarchy, colour, labels and export.

The same three layers drawn with equal visual weight, and drawn with a hierarchy. visual weight decides what gets read firsteverything at onceone subject, and contextThe background is usually the largest thing on the map and the least important thing on it

This topic is about the gap between a correct plot and a map somebody can read. The data can be right and the map still fail, because a map is an argument and the reader has to be able to follow it.

Most of it comes down to hierarchy. Visual weight should follow importance, and on almost every map the largest thing — the background, the coastline, the study-area boundary — is the least important thing on it. After that: a classification scheme is a claim about the distribution, a colour ramp for sequential data says something different from one for diverging data, labels have to be resolved after the figure is drawn because they live in screen space, and a scale bar asserts something that is only true in a projected CRS.

Below: the concepts cover hierarchy, colour and the decisions a map encodes; the how-to guides build legends, labels and export-ready figures; and the fixes are the maps that come out unreadable rather than wrong.

Learning paths run through this topic too — see the end of this page.

🧭 Start with the concepts

The ideas the how-to guides below assume you already have.

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⚙️ Then do the task

Step-by-step walkthroughs with code you can copy and adapt.

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🔧 When it breaks

The errors this topic produces, with the cause explained rather than just the command.

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