Exploratory bivariate and multivariate geovisualizations of a social vulnerability index

Type
01A - Journal article
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Parent work
Cartographic Perspectives
Special issue
DOI of the original publication
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Issue / Number
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Publisher / Publishing institution
North American Cartographic Information Society
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Abstract
In the United States, the Centers for Disease Control and Prevention (CDC) is the national agency that conducts and supports public health research and practice. Among the CDC’s many achievements is the development of a social vulnerability index (SVI) to aid planners and emergency responders when identifying vulnerable segments of the population, especially during natural hazard events. The index includes an overall social vulnerability ranking as well as four individual themes: socioeconomic, household composition & disability, ethnicity & language, and housing & transportation. This makes the SVI dataset multivariate, but it is typically viewed via maps that show one theme at a time. This paper explores a suite of cartographic techniques that can represent the SVI beyond the univariate view. Specifically, we recommend three techniques: (1) bivariate mapping to illustrate overall vulnerability and population density, (2) multivariate mapping using cartographic glyphs to disaggregate levels of the four vulnerability themes, and (3) visual analytics using Euler diagrams to depict overlap between the vulnerability themes. The CDC’s SVI, and by extension, vulnerability indices in other countries, can be viewed in a variety of cartographic forms that illustrate the location of vulnerable groups of society. Viewing data from various perspectives can facilitate the understanding and analysis of the growing amount and complexity of data.
Keywords
Social vulnerability, Multivariate mapping, Glyphs, Euler diagrams
Subject (DDC)
600 - Technik, Medizin, angewandte Wissenschaften
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ISBN
ISSN
1048-9053
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Diamond
License
'https://creativecommons.org/licenses/by-nc-nd/4.0/'
Citation
STRODE, Georgianna, Victor MESEV, Susanne BLEISCH, Kathryn ZIEWITZ, Fennis REED und John Derek MORGAN, 2020. Exploratory bivariate and multivariate geovisualizations of a social vulnerability index. Cartographic Perspectives. 2020. DOI 10.14714/cp95.1569. Verfügbar unter: https://doi.org/10.26041/fhnw-9514