Introduction to Cartography & Map Design
Cartography transforms raw geographic data into visually compelling, accurate maps that communicate information effectively to diverse audiences.
Theory & Foundations
Good cartographic design follows principles of visual hierarchy, color theory, typography, and layout composition to create maps that tell clear spatial stories.
Visual hierarchy ensures the most important information is most prominent. The map subject should dominate; supporting elements (title, legend, scale) should complement without competing.
Color choices convey meaning: Sequential schemes (light to dark) for ordered data, Diverging schemes (two hues meeting at neutral) for data above/below a midpoint, Qualitative schemes (distinct hues) for categorical data.
Five essential map elements: Title (what), Legend (symbols), Scale Bar (distance), North Arrow (orientation), and Data Source (credit/date). Missing any reduces map professionalism.
Typography: Sans-serif for labels (clear, readable), Serif for water features (traditional). Label placement: above/right for points, along for lines, centered for polygons.
In-Depth Coverage
Map Types
Different map types serve different analytical purposes.
- Choropleth: Color-filled areas for rate data
- Proportional symbol: Sized symbols for count data
- Dot density: Random dots representing quantity
- Isoline/Isarithmic: Contours for continuous data
- Flow map: Lines showing movement direction/volume
Color Theory for Maps
Color choices critically affect map readability and accuracy.
- ColorBrewer: Research-backed palettes for cartography
- Sequential: Low→High (light green → dark green)
- Diverging: Below→Above midpoint (red → blue)
- Qualitative: Distinct categories (red, blue, green)
- Consider: 8% of men are colorblind — test accessibility
Key Techniques
Data Visualization
- Choropleth: 40%
- Proportional: 20%
- Dot Density: 12%
- Isoline: 15%
- Flow: 13%
- 📝TitleClear, descriptive, prominent
- 🔑LegendAll symbols explained
- 📏ScaleGraphical scale bar
- 🧭NorthOrientation arrow
- 📋SourceData credit and date
Practical Workflow
- Define map purpose and audience
- Select appropriate projection
- Choose data classification method
- Apply color scheme from ColorBrewer
- Set visual hierarchy
- Place labels with readability rules
- Add map elements: title, legend, scale, north, source
- Export at appropriate resolution
Software & Tools
Video Tutorials
Real-World Application
Real-World Projects
Beck's 1931 topological design revolutionized transit maps.
Case Study
Problem-Based Learning
Census data for 64 districts. Map for academic journal publication at A4 size.
Solution: Join census to boundary shapefile. Calculate density (pop/area_km2). Classify using Natural Breaks (Jenks). Apply sequential ColorBrewer palette. Add all 5 elements.