Ring Maps for Spatial Visualization of Multivariate Epidemiological Data

Author(s)

Sarah E. Battersby, Tableau
John E. Stewart, Stephen F. Austin UniversityFollow
Ana Lopez-De Fede, University of South CarolinaFollow
Kevin C. Remington, University of South CarolinaFollow

Document Type

Article

Subject Area(s)

Public Health

Abstract

Epidemiological research often involves the visual exploration of numerous attributes to help discern patterns between health and characteristics of the physical, socioeconomic, or built environment. Unfortunately, many of the multivariate mapping techniques discussed throughout the cartographic literature can be challenging to create or interpret—particularly for individuals without a cartographic background. In this paper, we present a new style of multivariate map—the ring map—to aid in basic visualization of multivariate datasets. For purposes of example, we focus on the use of the ring map style for exploring county-level epidemiological data for the state of South Carolina to examine patterns of age, race, or gender specific mortality and morbidity within a population.

Digital Object Identifier (DOI)

https://doi.org/10.4113/jom.2011.1182

Publication Info

Published in Journal of Maps, Volume 7, Issue 1, 2012, pages 564-572.

APA Citation

Battersby, S. E., Stewart, J. E., Lòpez-DeFede, A., Remington, K. C., & Mayfield-Smith, K. (2011). Ring maps for spatial visualization of multivariate epidemiological data. Journal of Maps, 7(1), 564-572.

Rights

© 2011 Taylor and Francis, Journal of Maps. This article is licensed under a CC BY-NC-ND 2.5 DEED.