Using hexograms to map areal data

Richard Harris, Martin Charlton, Chris Brunsdon

Research output: Other contribution


This paper introduces hexograms as a method for mapping areal data. It builds on the idea of balanced cartograms that reduce geographic distortion, combining those with hexagonal binning to create non-tessellating tile maps of geographical distributions. The aim is to produce less geographically distorted
representations of neighbourhood and other areal data than those resulting from conventional cartograms, whilst also avoiding the problem of invisibility found in traditional choropleth maps. The process behind the method is introduced with examples of its application. The code to reproduce some of the maps is available for R.
Original languageEnglish
TypeConference paper
Publication statusPublished - 2018

Bibliographical note

Proceeding of the 26th GIScience Research UK Conference, University of Leicester


  • hexogram
  • cartogram
  • map design
  • geovisualization


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