Two new templates for epidemiology applications: linked micromap plots and conditioned choropleth maps.
This paper describes two interactive templates for representing spatially indexed estimates. Both templates use a matrix layout of small panels. The first template, called linked micromap plots, can represent multivariate estimates associated with each spatially indexed study unit. The second template, called conditioned choropleth maps, shows the connection between a dependent variable, as represented in a classed choropleth map, and two explanatory variables. The paper describes the cognitive considerations that motivate the layouts and representation details. The discussion also addresses topics of data quality and access, hypothesis generation, and interactive features such as pan and zoom and dynamic conditioning via sliders. The examples show epidemiological (mortality rates) and environmental (toxic concentrations) applications.
Carr
D B
DB
Center for Computational Statistics, MS-4A7, George Mason University, Fairfax, VA 22030, USA. dcarr@galaxy.gmu.edu
Wallin
J F
JF
Carr
D A
DA
D001554:Benzene / Q000032:analysis*; D016000:Cluster Analysis; D003627:Data Interpretation, Statistical; D004785:Environmental Pollutants / Q000032:analysis*; D005260:Female; D006801:Humans; D008175:Lung Neoplasms / Q000401:mortality*; D008297:Male; D008377:Maps as Topic; D014481:United States / Q000453:epidemiology
D004785:Environmental Pollutants; D001554:Benzene