Skip Navigation Links
Centers for Disease Control and Prevention
 CDC Home Search Health Topics A-Z

Preventing Chronic Disease: Public Health Research, Practice and Policy

View Current Issue
Issue Archive
Archivo de números en español








Emerging Infectious Diseases Journal
MMWR


 Home 

Volume 5: No. 2, April 2008

LETTER
The Topography of Poverty [Response to Letter]


TABLE OF CONTENTS


Print this article Print this article
E-mail this article E-mail this article:



Send feedback to editors Send feedback to editors
Download this article as a PDF Download this article as a PDF (164K)

You will need Adobe Acrobat Reader to view PDF files.


Navigate This Article
References


Suggested citation for this article: Holt JB. The topography of poverty [response to letter]. Prev Chronic Dis 2008;5(2). http://www.cdc.gov/pcd/issues/2008/
apr/07_0266.htm
. Accessed [date].

In Reply:

Dr Buttery’s letter (1) contains excellent observations, and he is entirely correct in his assessment of the suitability of my article (2) for presentation to policy makers. Policy makers and the lay public are not expected to have an interest in, or to comprehend, the quantitative methods behind the spatial analysis of poverty. The primary purpose of my Tools and Techniques article was to illustrate some quantitative approaches to visualization and exploratory data analysis using data available in the Community Health Status Indicators database. The article also included observations about the variable of interest: poverty. I have been surprised, but not displeased, that most feedback on this article (which I have received informally through e-mails and conversations) has focused on its substantive findings and not its methodology.

Dr Buttery’s main point centers on the question of how findings of such an analysis can be effectively presented to policy makers and community members. An effective presentation should be a top priority for scientists preparing manuscripts for dissemination to nonscientific audiences such as policy makers and community members. Mapmakers have a special challenge: they are never certain who will use the finished product and for what purpose. If I were to rewrite my article for an audience of policy makers, I would reduce both the complexity and volume of quantitative jargon to an absolute minimum, while assuring the audience that the findings and conclusions are scientifically valid, backed by statistical analysis, and not merely the author’s opinions based on visual interpretation of the maps alone.

The subjective nature of visual interpretation was demonstrated by the first four maps in the article (Figures 1, 2, 3, 4), which used the same data set but illustrated different spatial patterns. The spatial patterns were based on data classification methods that do not account for the spatial locations of each county’s poverty rate. Spatial analytic methods are important for quantifying spatial relationships in the data set so that valid statements can be made about geographical patterns that may appear through visual interpretation of maps; the minutiae of spatial analytic methods are not so important.

For nonscientific audiences, including policy makers, the following language may help interpret Figure 5, which features spatial outliers and concentrations of high and low poverty: “Statistical techniques allow us to identify counties whose poverty rates are dissimilar to the poverty rates of their neighboring or nearby counties; these counties are referred to as spatial outliers. The same techniques allow us to identify counties whose poverty rates are similar to the poverty rates of neighboring or nearby counties; these areas represent concentrations of high poverty and low poverty. Using these techniques, we can distinguish statistically valid geographic patterns in the poverty data that may not be apparent from a visual interpretation of the mapped data alone.”

A unique advantage of maps is that they simplify and illustrate patterns not discernable through data tables. Maps have visual impact; mapmakers want map readers to remember the phenomena they see in a map, and they often want to encourage appropriate action. By using spatial statistical techniques to identify geographic patterns, mapmakers use additional information in the data set — spatial information — to ensure that the resulting patterns are not subject only to the interpretations of the map reader. Mapmakers are responsible for explaining their methods but should understand that audiences vary in their need for details.

Dr Buttery’s letter reinforces a key point for mapmakers and others who present data in written or graphic format: know your audience, and present and interpret your results in a way that maximizes understanding. I thank Dr Buttery for his insightful comments.

James B. Holt, PhD, MPA
Division of Adult and Community Health
Centers for Disease Control and Prevention
Atlanta, Georgia

Back to top

References

  1. Buttery CMG. The topography of poverty [letter]. Prev Chronic Dis 2008;5(2). http://www.cdc.gov/pcd/issues/2008/apr/07_0231.htm. Accessed December 11, 2007.
  2. Holt JB. The topography of poverty in the United States: a spatial analysis using county-level data from the Community Health Status Indicators project. Prev Chronic Dis 2007;4(4). http://www.cdc.gov/pcd/issues/2007/oct/07_0091.htm. Accessed December 11, 2007.

Back to top

*URLs for nonfederal organizations are provided solely as a service to our users. URLs do not constitute an endorsement of any organization by CDC or the federal government, and none should be inferred. CDC is not responsible for the content of Web pages found at these URLs.

 




 



The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors’ affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.


 Home 

Privacy Policy | Accessibility

CDC Home | Search | Health Topics A-Z

This page last reviewed March 22, 2013

Centers for Disease Control and Prevention
National Center for Chronic Disease Prevention and Health Promotion
 HHS logoUnited States Department of
Health and Human Services