Ultimate Cartography Cheatsheet: The Art and Science of Mapmaking

Introduction: Understanding Cartography

Cartography is the art, science, and technology of making maps. It combines principles of design, geography, data visualization, and communication to represent spatial relationships on Earth or other bodies. More than just showing locations, effective cartography tells stories, reveals patterns, and communicates complex spatial information in intuitive ways. Whether for navigation, analysis, or visualization, cartography transforms geographic data into meaningful representations that help us understand our world.

Core Cartographic Principles

Types of Maps and Their Applications

Reference Maps

• Topographic Maps: Show terrain features through contour lines and elevation
• Road Maps: Display transportation networks for navigation
• Nautical Charts: Aid maritime navigation with bathymetry and navigational hazards
• Aeronautical Charts: Guide pilots with air routes and navigational aids
• Cadastral Maps: Show property boundaries and land ownership
• Physical Maps: Emphasize natural features like mountains, rivers, and landforms
• Political Maps: Display administrative boundaries and capitals

Thematic Maps

• Choropleth Maps: Color-coded areas showing statistical variables (population, income)
• Isopleth/Contour Maps: Lines connecting points of equal value (elevation, temperature)
• Dot Density Maps: Points representing quantities distributed across areas
• Proportional Symbol Maps: Symbols sized according to data values
• Flow Maps: Show movement or connections between locations
• Cartograms: Distort geography based on thematic values
• Dasymetric Maps: Refined choropleths using ancillary information for more precise distribution

Special Purpose Maps

• Historical Maps: Depict geographic conditions of the past
• Cognitive Maps: Represent people’s mental images of places
• Persuasive Maps: Designed to influence opinions or decisions
• Tourist Maps: Highlight attractions and amenities for visitors
• Transit Maps: Schematic representations of transportation systems
• Weather Maps: Show meteorological conditions and forecasts
• Emergency Response Maps: Support disaster planning and management

Essential Elements of a Complete Map

Primary Elements

• Title: Clear, descriptive name indicating map subject and purpose
• Map Body: Main geographic content with appropriate symbology
• Legend: Explanation of symbols, colors, and patterns used
• Scale: Relationship between map distance and real-world distance
• North Arrow: Indication of map orientation
• Data Source/Attribution: Information about data origins

Supporting Elements

• Inset Maps: Smaller maps showing location context or detailed areas
• Locator Map: Shows where the mapped area is situated in broader context
• Graticule: Network of latitude and longitude lines
• Borders/Neatlines: Frame delineating the map extent
• Metadata: Information about map creation, date, and accuracy
• Author/Publisher: Identity of the mapmaker or publishing organization
• Projection Information: Details about how 3D Earth is represented on 2D surface

Cartographic Design Principles

Visual Hierarchy

• Establish clear figure-ground relationship between focus and context
• Use visual variables (size, color, value) to differentiate importance
• Apply contrast selectively to emphasize key information
• Layer information from base elements to specialized content
• Control eye movement through strategic positioning and visual anchors

Design Considerations

• Balance: Distribute visual elements harmoniously
• Unity: Create coherent relationship between map elements
• Simplicity: Include only necessary information
• Harmony: Ensure visual elements work together
• Proportion: Maintain appropriate size relationships
• Rhythm: Create pleasing visual patterns and flow
• Emphasis: Direct attention to important features
• White Space: Use empty areas strategically to prevent crowding

Composition Guidelines

• Place title at top, legend at bottom right (Western maps)
• Position scale bar in an unobtrusive but accessible location
• Use inset maps to show context or detailed areas
• Align elements along invisible grid for orderly appearance
• Balance the visual weight across the map canvas
• Create focal points for key areas or information

Color Theory for Cartography

Color Properties

• Hue: The color itself (red, blue, green)
• Value/Lightness: Brightness or darkness of a color
• Saturation/Chroma: Intensity or purity of a color
• Transparency/Opacity: Degree to which underlying features show through

Color Schemes for Thematic Maps

• Sequential: Varying lightness/saturation of one hue for ordered data
• Diverging: Two contrasting hues diverging from a neutral midpoint
• Qualitative: Distinct hues for categorical data
• Binary: Two contrasting colors for presence/absence data
• Spectral: Rainbow-like schemes (use with caution)

Color Selection Guidelines

• Choose colorblind-friendly palettes (avoid red-green combinations)
• Match color associations to data (blue for water, green for vegetation)
• Consider cultural color associations for your audience
• Ensure sufficient contrast for readability
• Limit the number of colors to avoid confusion
• Test in final output medium (print, screen, projector)
• Use tools like ColorBrewer for scientifically tested palettes

Typography in Cartography

Label Categories

• Point Labels: Names for cities, landmarks, peaks
• Line Labels: Names for rivers, roads, boundaries
• Area Labels: Names for regions, countries, lakes
• Descriptive Text: Explanations, notes, contextual information

Typography Guidelines

• Legibility: Choose clear, readable fonts at appropriate sizes
• Contrast: Ensure text stands out from background
• Hierarchy: Differentiate importance through size, weight, style
• Placement: Position labels to clearly indicate features without overlap
• Orientation: Align with features (curved for rivers, straight for areas)
• Spacing: Allow sufficient space between labels
• Consistency: Maintain uniform style for similar features

Label Placement Principles

• Place point labels to the upper right when possible
• Curve line labels along features, not across them
• Center area labels within boundaries when possible
• Avoid crossing labels over important features
• Use halos or masks to improve text visibility
• Consider density of information when placing labels
• Prioritize more important labels when conflicts occur

Map Projections and Their Properties

Projection Properties

• Conformal: Preserves local shapes and angles
• Equal-area/Equivalent: Preserves area relationships
• Equidistant: Preserves distances from one or two points
• Azimuthal: Preserves directions from a central point
• Compromise: Balances multiple distortions for general use

Common Projections and Best Uses

• Mercator: Navigation, web mapping (preserves angles)
• Robinson: World maps for general reference (compromise)
• Albers Equal-Area: Regional thematic mapping for areas
• Lambert Conformal Conic: Regional mapping for mid-latitudes
• Orthographic: Hemisphere views with realistic appearance
• UTM (Universal Transverse Mercator): Large-scale detailed mapping
• Winkel Tripel: World maps with balanced distortion (National Geographic standard)

Projection Selection Factors

• Geographic extent (world, continent, country, local)
• Purpose of the map (navigation, thematic analysis)
• Location on Earth (polar, equatorial, mid-latitude)
• Properties that need preservation (shape, area, distance)
• Conventional expectations of the audience
• Aesthetic considerations and visual appeal

Map Generalization Techniques

Generalization Operators

• Selection: Choosing which features to include
• Simplification: Reducing complexity of lines and shapes
• Smoothing: Removing minor fluctuations in lines
• Aggregation: Combining multiple features into one
• Collapse: Reducing dimensionality (area to line or point)
• Exaggeration: Enlarging important but small features
• Enhancement: Adding detail to emphasize characteristics
• Displacement: Moving features slightly to reduce overlap
• Typification: Replacing actual pattern with representative pattern

Generalization Guidelines

• Match level of detail to map scale and purpose
• Maintain essential character and recognizability of features
• Preserve topological relationships between features
• Apply consistent level of generalization across similar features
• Consider minimum legible sizes for features and symbols
• Balance information density with readability
• Preserve distinctive shapes that aid recognition

Symbolization and Visual Variables

Bertin’s Visual Variables

• Size: Variation in dimension (larger = more)
• Value: Lightness/darkness (darker = more intense)
• Texture: Pattern density or granularity
• Color: Hue differences (for categorical data)
• Orientation: Direction or alignment of symbols
• Shape: Geometric or pictorial form
• Position: Location on the map or in legend

Symbol Types

• Point Symbols: Markers for specific locations
  • Geometric (circles, squares, triangles)
  • Pictographic (icons representing features)
  • Proportional (sized according to value)
• Line Symbols: Representing linear features
  • Solid, dashed, dotted
  • Varying thickness
  • With or without casings
  • Directional or non-directional
• Area Symbols: Filling regions
  • Solid colors
  • Patterns/hatching
  • Gradients
  • Transparent fills

Symbolization Best Practices

• Match symbol to data type (nominal, ordinal, interval, ratio)
• Use intuitive symbols that relate to represented features
• Ensure symbols are distinguishable at intended viewing distance
• Balance visual impact with map clarity
• Consider cultural connotations of symbols
• Test legibility in final output format
• Document symbol meanings clearly in legend

Thematic Mapping Techniques

Choropleth Maps

• Best for: Data aggregated by areas (e.g., counties, countries)
• Data types: Rates, densities, percentages (not raw counts)
• Classification methods:
  • Equal interval: Equal data ranges
  • Quantile: Equal number of observations per class
  • Natural breaks: Minimize within-class variation
  • Standard deviation: Based on distance from mean
  • Manual: Custom breaks for specific communication needs
• Design considerations:
  • Normalize data by area or population
  • Use 4-7 classes for legibility
  • Choose appropriate color progression
  • Consider data distribution when selecting classes

Proportional Symbol Maps

• Best for: Showing magnitude at specific locations
• Symbol options:
  • Circles (most common)
  • Squares
  • Pictographs
  • 3D forms (cubes, spheres)
• Scaling methods:
  • Linear: Symbol size directly proportional to value
  • Area: Symbol area proportional to value (more perceptually accurate)
  • Logarithmic: For data with extreme ranges
• Design considerations:
  • Set appropriate minimum and maximum sizes
  • Address overlapping symbols (transparency, displacement)
  • Include reference symbols in legend
  • Consider using graduated color with size

Dot Density Maps

• Best for: Showing spatial distribution of phenomenon
• Design considerations:
  • Determine appropriate dot value (what one dot represents)
  • Choose effective dot size and color
  • Consider appropriate placement method
  • Use meaningful boundaries for containing dots
  • Acknowledge that dots represent general distribution, not exact locations

Isopleth/Contour Maps

• Best for: Continuous phenomena with gradual change
• Applications: Elevation, temperature, precipitation, air pressure
• Design considerations:
  • Select appropriate contour interval
  • Label contour lines strategically
  • Use index contours (heavier lines at intervals)
  • Consider supplementary shading or hypsometric tinting
  • Show certainty/uncertainty in interpolation

Flow Maps

• Best for: Movement, connections, or interactions between places
• Design variables:
  • Line width (volume of flow)
  • Color/pattern (type of flow)
  • Direction indicators (arrows)
• Design considerations:
  • Simplify flow paths for clarity
  • Address overlapping flows
  • Consider curved vs. straight lines
  • Balance detail with readability

Common Cartographic Challenges and Solutions

Challenge: Data Classification

Solutions:

• Consider the data distribution when selecting classification method
• Examine histogram to identify natural breaks or clusters
• Test different classification methods to see how they affect interpretation
• Round class breaks to intuitive numbers when possible
• Document classification method clearly

Challenge: Feature Overlap

Solutions:

• Apply displacement (moving features slightly)
• Use transparency to show overlapping elements
• Simplify or aggregate dense features
• Consider alternative symbol types or sizes
• Use insets to show detailed areas at larger scale

Challenge: Label Congestion

Solutions:

• Prioritize labels based on importance
• Use different label styles or sizes based on hierarchy
• Consider leader lines to place labels in empty spaces
• Apply halos or masks to improve text legibility
• Use abbreviations for less important features
• Consider interactive approaches (hover/click to reveal)

Challenge: Color Selection

Solutions:

• Test maps for colorblind accessibility
• Print test copies to check how colors translate to physical media
• Use proven color schemes from ColorBrewer or similar resources
• Consider cultural and conventional color associations
• Limit color palette to improve clarity
• Use color in combination with other visual variables

Challenge: Communicating Uncertainty

Solutions:

• Use transparency or fading to indicate uncertain areas
• Apply texture or pattern variations to show confidence levels
• Include reliability diagrams or uncertainty visualizations
• Use dashed lines or gradients for fuzzy boundaries
• Provide clear documentation about data limitations
• Consider interactive approaches to reveal certainty information

Cartographic Best Practices

Planning Stage

• Clearly define map purpose and intended audience
• Determine appropriate scale and geographic extent
• Select suitable projection for location and purpose
• Identify key messages or stories the map should tell
• Collect and evaluate data sources for quality and relevance
• Sketch preliminary layout before digital implementation

Design Stage

• Establish clear visual hierarchy of information
• Simplify data to appropriate level for scale and purpose
• Select intuitive, effective symbolization
• Design for the intended output medium (screen, print)
• Test design with representative users if possible
• Consider accessibility needs (colorblind-friendly, contrast)

Production Stage

• Maintain organized data and design files
• Document data sources, processing steps, and design decisions
• Implement consistent styling across similar features
• Check for errors, inconsistencies, and omissions
• Evaluate against purpose and audience needs
• Seek feedback before finalizing

Ethical Considerations

• Represent data honestly without distortion
• Acknowledge limitations and uncertainties
• Provide appropriate context for interpretation
• Consider impacts of representation on communities
• Credit data sources and contributors
• Balance aesthetic appeal with accuracy

Resources for Further Learning

Books

• “How to Lie with Maps” by Mark Monmonier
• “Cartography: Visualization of Spatial Data” by Menno-Jan Kraak and Ferjan Ormeling
• “Designing Better Maps: A Guide for GIS Users” by Cynthia Brewer
• “Making Maps: A Visual Guide to Map Design for GIS” by John Krygier and Denis Wood
• “Thematic Cartography and Geovisualization” by Terry Slocum et al.

Online Resources

• ColorBrewer (colorbrewer2.org) – Color advice for cartography
• Cartography and Visualization resources from Penn State
• NACIS (North American Cartographic Information Society)
• Axis Maps Cartography Guide
• Projections Wizard (projectionwizard.org)

Journals and Publications

• The Cartographic Journal
• Cartographica
• International Journal of Cartography
• National Geographic style guides
• NACIS Atlas of Design

Communities

• CartoTalk forum
• #cartography hashtag on social media
• Reddit r/MapPorn and r/GIS
• Local and international cartographic societies
• Maptime meetups

This cheatsheet provides fundamental cartographic principles and techniques to help you create effective, beautiful maps. Remember that cartography combines science, art, and communication—developing your skills requires practice, experimentation, and continuous learning as both technology and design principles evolve.