From the Help Desk - Legend Classification Methods
Hello readers! This week we provide an in-depth response to a question asking about the legend classification methods in SimplyAnalytics. This response is now part of our Help Center: https://simplyanalytics.zendesk.com/hc/en-us
Question: Can you explain the legend classification methods?
The classification method controls how the data in your map is grouped. Areas on the map are assigned to groups using different classification methods. The colors you see on the map depend on which class is assigned to each area.
There are multiple methods for calculating break points for the data. You can select any of the following from the Classification Method menu:
- Quantiles (Local)
- Quantiles (National)
- Natural Breaks (Local)
- Natural Breaks (National)
- Equal Intervals
- Custom
Quantiles (National): This is the default method used to classify each area on the map, and works for most situations. Breakpoints are calculated so that each category contains about the same number of features. "National" uses a sample of locations from throughout the USA to calculate the breakpoints.
Example: If there are 35,000 ZIP Codes nationally and you have 5 categories the legend is calculated so there are theoretically 7,000 ZIPs in each category.
Quantile classes are easiest to understand, but they can be misleading if the data being mapped is not distributed normally. For example, population counts are usually not suitable for quantile classification because only a few places are highly populated. Use population density or percentages for more meaningful maps.
Quantiles (Local): Breakpoints are calculated so that each category contains about the same number of features. "Local" uses a sample of locations from your current view to calculate the breakpoints. This method usually ensures the map will show more colors. For example, if there are 50 ZIP codes visible on your map, and you choose to display them in five classes, the map will show 10 ZIP codes per color.
Natural Breaks (National): Breakpoints are calculated using a statistical formula that finds groupings and patterns in the data. "National" uses a sample of locations from throughout the USA to calculate the breakpoints.
Natural Breaks (Local): Breakpoints are calculated using a statistical formula that finds groupings and patterns in the data. "Local" uses a sample of locations from your current view to calculate the breakpoints.
Equal Intervals: This method uses equal-size intervals for each class and color on the map. Breakpoints are calculated so that each category has the same range. This method doesn't care if all areas on the map end up sharing the same color.
Example: if the lowest value nationwide is 1 and the highest value is 100 for that specific geography the legend will have 5 equal categories 1 to 20, 21 - 40, 41 - 60, 61 to 80 and 81 to 100
Custom: The user selects their own breakpoints by typing in their own values.To set your own custom breakpoints, you can click in each value’s cell and enter a value of your choice. You can also click the colors to customize how the map looks.
More information on data classification/reference:
https://gisgeography.com/choropleth-maps-data-classification/
More from SimplyAnalytics
Posted on Apr 18, 2008 by Admin
A team of librarians at Drexel University has developed a detailed poster to introduce SimplyMap as a new research tool for the student body. The poster was launched on Drexel Research Da...
Posted on Mar 13, 2023 by Admin
Hello readers! Today, we’re excited to officially introduce the Location Query Report in SimplyAnalytics. The Location Query Report is a powerful feature in SimplyAnalytics that allows us...
Posted on Dec 11, 2015 by Admin
With the final week of the college football season in the books, and bowl game selections having just taken place, we wanted to search within SimplyMap to see if any data pertaining to co...
Posted on May 06, 2016 by Admin
Visit us at booth #775 at the ALA 2016 annual conference to meet the SimplyMap team and learn more about the features and functions behind SimplyMap. Have a Ghirardelli Chocolate while we...
Posted on May 25, 2010 by Admin
The American Library Association 2010 Annual Conference is coming and the GRI team is gearing up for another great event this summer. We will be in Washington, D.C. again this year, June ...
Posted on Apr 28, 2016 by Admin
In this week’s SimplyMap report we’ll take a look at one of our newer data packages offered, P$YCLE® by Nielsen. P$YCLE® is a segmentation system that evaluates consumers using key demogr...
Posted on Oct 30, 2018 by Admin
We are pleased to be exhibiting at this year's 30th Annual Charleston Library Conference! The Charleston Vendor Showcase will be held Tuesday, November 6, 2018, from 10:30 a.m. to 6:00 p....
Posted on Nov 24, 2014 by Admin
In this week’s report, we research America’s most educated cities. SimplyMap contains a total of 111 educational attainment variables, including general population and by race. We used th...
Posted on Mar 11, 2024 by Admin
We're thrilled to announce that SimplyAnalytics will be exhibiting at the ALA Annual Conference in San Diego! We can't wait to connect with library professionals, share insights, and show...
Posted on Dec 08, 2017 by Admin
Good afternoon, readers! This week we’re going to talk about project management in SimplyAnalytics and how to best take advantage of it. Why are projects needed? Many users have multiple...
