Multivariate label-based thematic maps
Journal article
Brath, R and Banissi, E (2017). Multivariate label-based thematic maps. International Journal of Cartography. 3 (1), pp. 45-60. https://doi.org/10.1080/23729333.2017.1301346
Authors | Brath, R and Banissi, E |
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Abstract | This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal if Cartography on 23 March 2017, available online: http://www.tandfonline.com/10.1080/23729333.2017.1301346. The rich history of cartography and typography indicates that typographic attributes, such as bold, italic and size, can be used to represent data in labels on thematic maps. These typographic attributes are itemized and characterized for encoding literal, categorical and quantitative data. Label-based thematic maps are shown, including examples that scale to multiple data attributes and a large number of entities. Multiple approaches to handle long labels are considered. Positional and proportional encoding apply attributes to portions of labels for encoding a large number of data attributes or quantitative values. Quantitative evaluation indicates label-based thematic maps may outperform choropleth maps for some tasks. Qualitative evaluation provides guidance for design considerations. |
Keywords | visualization,; Multivariate label-based; thematic maps; Typography; cartogram,; font attributes |
Year | 2017 |
Journal | International Journal of Cartography |
Journal citation | 3 (1), pp. 45-60 |
Publisher | Taylor & Francis |
ISSN | 2372-9333 |
Digital Object Identifier (DOI) | https://doi.org/10.1080/23729333.2017.1301346 |
Publication dates | |
23 Mar 2017 | |
Publication process dates | |
Deposited | 12 Mar 2018 |
Accepted | 01 Mar 2017 |
Accepted author manuscript | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/86zzz
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Accepted author manuscript
Multivariate label-based thematic maps_PrePub.pdf | ||
License: CC BY 4.0 | ||
File access level: Open |
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