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 Sep 21, 2009 by Admin
The North Carolina Library Association will hold its annual conference in Greenville, NC at the Greenville Convention Center from October 6-8, 2009. Geographic Research, Inc. will be exhi...
Posted on May 17, 2012 by Admin
We will be exhibiting at the American Library Association (ALA) Conference in Anaheim Friday June 22nd - Monday June 25th. Visit us at Booth 421 to learn more about SimplyMap and enter ou...
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 Aug 26, 2015 by Admin
Most people in the United States could probably guess which cities are popular amongst tourists - Los Angeles and New York. But can you guess how much money is spent in novelty and souven...
Posted on Sep 28, 2018 by Admin
Welcome readers! Today we have a quick feature highlight that will assist you in browsing and searching for data variables. All data variables have a path where they reside within their d...
Posted on Aug 30, 2009 by Admin
Jeff Zaslow, Wall Street Journal columnist and co-author of the The Last Lecture, will speak at the Orlando, FL Public Library on Friday, September 11 at 7 p.m. Zaslow helped the late Ran...
Posted on Jan 24, 2009 by Admin
Men's Health magazine took a look this month at where our wireless habits are most out of control. Their methodology includes the use of SimplyMap: First, we crunched data from SimplyMap...
Posted on Apr 30, 2008 by Admin
Doreen Harwood, Business Librarian from the University of Washington has developed a series of detailed tutorials on using SimplyMap. The tutorials, which are Flash-based and interactive,...
Posted on Jun 08, 2015 by Admin
In this week’s report we take a look at one folder found within SimplyMap’s SimmonsLOCAL data package. SimmonsLOCAL is a powerful targeting and profiling system that provides insights int...
Posted on Nov 17, 2014 by Admin
Our recent series Exploring SimplyMap Data Reports has focused on creating ranking reports for unique variables. Accordingly, we thought it would be helpful to write a quick tip on how to...
