Volume 41 - Article 17 | Pages 477–490
Geofaceting: Aligning small-multiples for regions in a spatially meaningful way
|Date received:||21 Feb 2019|
|Date published:||08 Aug 2019|
|Keywords:||external causes of death, external mortality, geofacet, homicide, small-multiples, ternary colorcoding|
|Additional files:||readme.41-17 (text file, 1 kB)|
|demographic-research.41-17 (zip file, 3 MB)|
|Weblink:||You will find all publications in this Special Collection on Data Visualization here.|
Background: Creating visualizations that include multiple dimensions of the data while preserving spatial structure and readability is challenging. Here we demonstrate the use of geofaceting to meet this challenge.
Objective: Using data on young adult mortality in the 32 Mexican states from 1990 to 2015, we demonstrate how aligning small multiples for territorial units, often regions, according to their approximate geographical location – geofaceting – can be used to depict complex multi-dimensional phenomena.
Methods: The idea is to align small-multiples for territorial units, often regions, according to approximate geographical location. We illustrate the technique using data on young adult mortality in the 32 Mexican states from 1990 to 2015.
Results: Geofaceting reveals the macro-level spatial pattern while preserving the ﬂexibility of choosing any visualization techniques for the small multiples. Creating geofaceted visualizations gives all the advantages of standard plots in which one can adequately display multiple dimensions of a dataset.
Contribution: Compared to other ways of small-multiples' arrangement, geofaceting improves the speed of regions' identification and exposes the broad spatial pattern.
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