title: Transformations of maps to investigate clusters of disease.
abstract: An approach is presented to display and analyze epidemiologic data using population density equalized maps (cartograms). The algorithm for generating these maps is discussed. A specific method for statistically analyzing plotted data is given, followed by an application of maps and analysis to 73 sets of age-, race-, sex-, and site-specific cancer incidence data. The data were obtained from the Surveillance, Epidemiology and End Results project for San Francisco City/County (1978-1981) and combined with 1980 U.S. Census data.
authors.affiliation: Department of Biomedical and Environmental Health Sciences, School of Public Health, University of California, Berkeley 94720.
authors.forename: S
authors.initials: S
authors.lastname: Selvin
authors.forename: D
authors.initials: D
authors.lastname: Merrill
authors.forename: J
authors.initials: J
authors.lastname: Schulman
authors.forename: S
authors.initials: S
authors.lastname: Sacks
authors.forename: L
authors.initials: L
authors.lastname: Bedell
authors.forename: L
authors.initials: L
authors.lastname: Wong
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D002140:California; D003198:Computer Simulation; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000401:mortality*; D012307:Risk Factors; D013029:Space-Time Clustering