ArcGIS Online

New Charts and Charts & Size map styles help us make sense of all the numbers

Raw counts are the cornerstone of cartography. But often it’s easier to get our heads around the data if we speak of relative proportions, for example, “renters outnumber owners 3 to 1 here” or “there are roughly equal amounts of corn and wheat harvested here.” It’s even better if we can see those proportions directly.

Comparing proportions helps us because it is both unitless and turns big numbers into simple-to-compare ratios. It also helps us to compare places that might have wildly different total values because it focuses on proportions not raw counts.

In the June 2022 release, Map Viewer offers Charts and Charts + Size map styles to help us compare the relative proportions of things. These two new styles open-up some great mapping opportunities.

colorful donut charts on a map
This map shows the relative proportions of Gen-Z, Millennials, Gen-X and Boomers in Long Beach California. Since there is space in the middle of the donut, I added the median age of the Census Tract as a data-driven label. Click to see live map.
colorful pies showing crops in the midwest
The Charts + Size map style uses size to tell us total amounts of crops produced, while the color breaks it down by crop type. Note how corns’ dominance switches to wheat as you head west (and intro drier climates).

Getting Started

You will need data which has counts of different categories of things, such as,

The data can be attached to areas or to points. Once you add two or more categories to Smart Mapping you’ll see these new map styles light up as options.

Put another way, any map you made previously using Predominant category, Predominant category + Size, or colored Dot Density could be used.

Pro Tip: Work with a range of 2-10 categories. If you have more than 10 categories, they will be grouped together into an Other category.

 

interface for selecting map styles

Once you add two or more attributes in Step 1 of Smart Mapping the new styles light up. They nicely compliment the other multivariate mapping options.

 

Four Tips

1: Donuts or Pies?

Both are wonderful, so use the Shape slider to find your happy place.

2: Re-order your segments

To do this, just grab and drag the list of fields to re-order the segments of the pies.

3: Grouping Slider

This is easily my favorite feature. Anyone who has used pie charts knows you sometimes end up with very small, hard-to-read slices. The ArcGIS API Team came up with a great solution: Use the Grouping % slider to dynamically group small values into an Other category. No need to calculate new fields, or write an Arcade expression to clean-up those small values.

This is a great way to do on-the-fly data filtering.

4: Use a color ramp or individual custom colors

Click the color ramp to pick one of Esri’s perceptually-graded categorical color ramps. Or click on the individual color chips to select just one new color manually.

Pro Tip: Don’t forget that adding a dropshadow from the Effect pane can really help make your pies pop! Or use a Feature Effect to selectively highlight some pies and mute others.

Next Steps

If you’ve already made a Predominant category map or a colored Dot Density map, take 15 seconds and recast those maps as pie or donuts and see what happens. I’m willing to wager new details will emerge when you do. If you’re new to multivariate cartography, why not started with a finished map from the Living Atlas of the World—like this popular one that uses the Predominant category style—and convert it to a pie chart map. The same data work beautifully for either map style. Modifying a finished map is often the fastest way to test a new capability, rather than starting from scratch.

Lastly, there is no “best map style” for multivariate cartogaphy; they’re all great choices that have different strengths. Which is why we are working to expand Smart Mapping in the Map Viewer. But next time you need to show the breakdown of categories definitely consider a Chart or Chart + Size map.

Happy Mapping!

About the author

Map nerd. Passionate about great design, teaching, and doing cool things with data.

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