Current practices in spatial analysis of cancer data: mapping health statistics to inform policymakers and the public.
BACKGROUND
To communicate population-based cancer statistics, cancer researchers have a long tradition of presenting data in a spatial representation, or map. Historically, health data were presented in printed atlases in which the map producer selected the content and format. The availability of geographic information systems (GIS) with comprehensive mapping and spatial analysis capability for desktop and Internet mapping has greatly expanded the number of producers and consumers of health maps, including policymakers and the public.Because health maps, particularly ones that show elevated cancer rates, historically have raised public concerns, it is essential that these maps be designed to be accurate, clear, and interpretable for the broad range of users who may view them. This article focuses on designing maps to communicate effectively. It is based on years of research into the use of health maps for communicating among public health researchers.


RESULTS
The basics for designing maps that communicate effectively are similar to the basics for any mode of communication. Tasks include deciding on the purpose, knowing the audience and its characteristics, choosing a media suitable for both the purpose and the audience, and finally testing the map design to ensure that it suits the purpose with the intended audience, and communicates accurately and effectively. Special considerations for health maps include ensuring confidentiality and reflecting the uncertainty of small area statistics. Statistical maps need to be based on sound practices and principles developed by the statistical and cartographic communities.


CONCLUSIONS
The biggest challenge is to ensure that maps of health statistics inform without misinforming. Advances in the sciences of cartography, statistics, and visualization of spatial data are constantly expanding the toolkit available to mapmakers to meet this challenge. Asking potential users to answer questions or to talk about what they see is still the best way to evaluate the effectiveness of a specific map design.
Bell
B Sue
BS
Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, USA. sue.bell@fda.hhs.gov
Hoskins
Richard E
RE
Pickle
Linda Williams
LW
Wartenberg
Daniel
D
D003627:Data Interpretation, Statistical; D040362:Geographic Information Systems; D006291:Health Policy; D006801:Humans; D009369:Neoplasms / Q000453:epidemiology*; D012042:Registries; D014481:United States / Q000453:epidemiology