Choropleth Mapping

Overview

A choropleth map is a thematic map with different areas or regions shaded in varying colours or patterns. These colours aren’t random but represent specific values or categories of a particular data set. For instance, the map on the left shows household food wastage estimates for Latin America and the Caribbean. Areas with higher food wastage are shaded in purple, while areas with lower scores are in yellow. This visualisation technique allows us to quickly identify patterns and differences based on the data being represented across a geographical location.

Household Food Waste Estimates: Choropleth Map Activity

Welcome to our Choropleth Map Activity on Household Food Waste Estimates. I’m Geospatial Analysis Gita, and I’ll guide you through this insightful exercise. We’ll convert raw data into a colourful choropleth map that reveals the diverse landscape of food wastage across regions. By following my step-by-step instructions, you’ll not only enhance your mapping skills but also unearth significant patterns and insights about this pressing global issue. 

Step One

Go to https://www.datawrapper.de/ and click Start creating 

Or use the screen embedded below. 

Step Two

Select Create new and click Map. On the next page, select Choropleth map.

Step Three

Select map for Asia.

Step Four

Add in the raw data from the green table below. Choose either kg/capita/year or tonnes/year.

Amazing Mapping!

Use the information below to help you analyse your choropleth maps. 

Interpret your map to explain patterns, trends and relationships

PQE Method:

  1. Pattern: Identify and describe the general pattern you observe on the map or data. This could relate to the distribution or arrangement of certain features or data points.
  2. Quantify: Assign specific numerical values or measures to the patterns you’ve identified. This could involve stating frequencies, averages, ratios, or any relevant statistics to provide a clearer picture of the pattern.
  3. Exceptions: Highlight any anomalies or areas that don’t fit the general pattern you’ve described. These outliers or unique cases deviate from the overall trend or pattern.

Example:

The most significant amount of food wastage occurs in Latin America’s northern tip, with all countries wasting above 80kg/capita/year. The exceptions are Belize, with 53kg/capita/year and Guatemala, with 72kg/capita/year.

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