Maps

Tutorial

This page covers static map images, not interactive map interfaces.

Example: Population Diversity Growth by State

US diversity map see example descriptions
Example of a map of United States showing growth of diversity by state from 1990-1999. From Complex Images for All Learners, by Supada Amornchat

Guidelines for Describing Maps

Tease out the dimensions

Maps are information dense and sometimes encode spatial relationships that aren’t always connected with linear coordinates or proximity. As with other complex images describe methodically, but consider making multiple passes for each “layer” of data.

Share the visual insights

Data visualizations using maps are exclusively visual. Describe trends and phenomena gleaned from this practice.

Combine with other alternatives

Maps are often a dataset arranged spatially. Consider including the underlying data. Use lists for features and points of interest.

For maps with color-coded data, describe what each color category means, then list which locations fall into each category.

Alternative Format Options

Text description provides overview and key patterns.

This map illustrates the growth of diversity in different U.S. states from 1990 to 1999. The map color codes each state into four categories depending on the level of increase in Latino, African American and Asian populations in their state. The map shows that all levels are distributed relatively evenly across all regions, with some notable concentrations in the West, around the Great Lakes and the South. Almost no bordering states are the same color.

  • Low - 11 states
  • Fair - 9 states
  • Moderate - 12 states
  • High - 11 states

Data tables can be created in a variety of ways. They can, but don’t always need to reflect the exact data of the visualization. Consider your objectives.

Growth LevelNumber of StatesStates
Low11Montana, Arizona, Nebraska, Oklahoma, Wisconsin, Louisiana, Tennessee, West Virginia, New Jersey, New Hampshire, Hawaii
Fair9Oregon, Utah, South Dakota, Missouri, Mississippi, Indiana, New York, North Carolina, Alaska
Moderate12Washington, Wyoming, Nevada, New Mexico, Kansas, Minnesota, Illinois, Arkansas, Ohio, Virginia, South Carolina, Alabama
High11California, Idaho, Colorado, North Dakota, Texas, Iowa, Michigan, Kentucky, Georgia, Vermont, Pennsylvania
Consider alternative representations, or shapes of the data and how they might used to answer questions.
RegionLow GrowthFair GrowthModerate GrowthHigh Growth
WestArizona, MontanaOregon, UtahNevada, New Mexico, Washington, WyomingCalifornia, Colorado, Idaho
MidwestNebraska, WisconsinIndiana, Missouri, South DakotaIllinois, Kansas, Minnesota, OhioIowa, Michigan, North Dakota
SouthLouisiana, Oklahoma, Tennessee, West VirginiaMississippi, North Carolina, FLoridaAlabama, Arkansas, South Carolina, VirginiaGeorgia, Kentucky, Texas
NortheastNew Hampshire, New JerseyNew YorkNone ListedPennsylvania, Vermont
Non-ContiguousHawaiiAlaskaNone ListedNone Listed
Depending on the purpose and the detail necessary the data might be simplified or distilled.
RegionLowFairModerateHigh
West18%18%37%27%
Midwest17%25%33%25%
South31%15%31%22%
Northeast40%20%0%40%
Non-Contiguous50%50%0%0%

Nested List might be helpful for answering questions.

  • Low growth:
    • Montana
    • Arizona
    • Nebraska
    • Oklahoma
    • Wisconsin
    • Louisiana
    • Tennessee
    • West Virginia
    • New Jersey
    • New Hampshire
    • Hawaii
For maps with many data points, a data table is often more accessible than a long prose description. Consider what format best serves your learning objectives.

Where to Place the Description

Give the description a heading and reference it in the alt text, or otherwise make sure the relationship between the description and image is clear. If the description is placed at the end of the document use #heading reference links to move back and forth.

This article is an adaptation of ‘Complex Images for All Learners’ by Supada Amornchat, used under CC BY-NC-SA 4.0.