Visualising small area data with hybrid cartograms and hexograms

Hexograms, first proposed by Harris (2018), mix hexagonal grids with cartograms, redressing problems of ‘invisibility’ in conventional maps, and geographic distortion in cartograms. The idea is simple: enlarge areas needing to be observed, but not so much that place geographies become unrecognisable. This paper develops the approach, combining a Dorling-style cartogram (Dorling, 1996) of local authorities with a standard map to create a hybrid cartogram; then using hexagonal grids and spatial optimisation to map neighbourhood-level variations. The resulting hexogram provides a representation of ethnic diversity in England and Wales that improves legibility but limits geographic distortion of and within the authorities.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-15
DOI
https://doi.org/10.5281/zenodo.15222734
Primary Topic
Geographic Information Systems Studies
Type
article
Field-Weighted Citation Impact
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article

Visualising small area data with hybrid cartograms and hexograms

Zenodo (CERN European Organization for Nuclear Research)
Geographic Information Systems Studies
article

Visualising small area data with hybrid cartograms and hexograms

article en

Abstract

Hexograms, first proposed by Harris (2018), mix hexagonal grids with cartograms, redressing problems of ‘invisibility’ in conventional maps, and geographic distortion in cartograms. The idea is simple: enlarge areas needing to be observed, but not so much that place geographies become unrecognisable. This paper develops the approach, combining a Dorling-style cartogram (Dorling, 1996) of local authorities with a standard map to create a hybrid cartogram; then using hexagonal grids and spatial optimisation to map neighbourhood-level variations. The resulting hexogram provides a representation of ethnic diversity in England and Wales that improves legibility but limits geographic distortion of and within the authorities.

Zenodo (CERN European Organization for Nuclear Research)
University of Bristol (GB)
Sustainable cities and communities
Openalex Percentile: Top 45%
Geographic Information Systems Studies
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