INTERFACING UNITED-STATES CENSUS MAP FILES WITH STATISTICAL GRAPHICS SOFTWARE - APPLICATION AND USE IN EPIDEMIOLOGY

Citation
M. Rizzardi et al., INTERFACING UNITED-STATES CENSUS MAP FILES WITH STATISTICAL GRAPHICS SOFTWARE - APPLICATION AND USE IN EPIDEMIOLOGY, Statistics in medicine, 12(19-20), 1993, pp. 1953-1964
Citations number
8
Categorie Soggetti
Statistic & Probability","Medicine, Research & Experimental","Public, Environmental & Occupation Heath","Statistic & Probability
Journal title
ISSN journal
02776715
Volume
12
Issue
19-20
Year of publication
1993
Pages
1953 - 1964
Database
ISI
SICI code
0277-6715(1993)12:19-20<1953:IUCMFW>2.0.ZU;2-A
Abstract
In 1990, the United States Bureau of the Census released detailed geog raphic map files known as TIGER/Line (Topologically Integrated Geograp hic Encoding and Referencing). The TIGER files, accessible through pur chase or federal repository libraries, contain 24 billion characters o f data describing various geographic features including coastlines, hy drography, transportation networks, political boundaries, etc. for the entire United States. Many of these physical features are of potentia l interest in epidemiological case studies. Unfortunately, the TIGER d ata base only provides raw alphanumeric data; no utility software, gra phical or otherwise, is included. Recently, the S statistical software package has been extended to include a map display function. The map function augments S's high-level approach towards statistical analysis and graphical display of data. Coupling this statistical software wit h the map data base developed for U.S. Census data collection will fac ilitate epidemiological research. We discuss the technical background necessary to utilize the TIGER data base for mapping with S. Two types of S maps, segment-based and polygon-based, are discussed along with methods to construct them from TIGER data. Polygon-based maps are usef ul for displaying regional statistical data, such as disease rates or incidence at the census tract level. Segment-based maps are easier to assemble and are appropriate when the data are not regionalized. Censu s tract data of AIDS incidence in San Francisco and lung cancer case l ocations relative to petrochemical refinery sites in Contra Costa Coun ty are used to illustrate the methods and potential uses of interfacin g the TIGER data base with S.