Skip to main content

Using Geographic Information Systems to Create and Analyze Statistical Surfaces of Population and Risk for Environmental Justice Analysis

Buy Article:

$43.00 plus tax (Refund Policy)

Objective. Methodological issues associated with the conventional statistical approach to environmental justice research, such as scale of analysis, continue to make assessments of environmental injustice problematic. Geographic information systems (GIS) can be used to facilitate multiscale analysis through the generation of statistical surface representations of both socioeconomic character and environmental risk. Methods. As a case study, U.S. Bureau of the Census and U.S. Environmental Protection Agency data sets were used to generate statistical surfaces of socioeconomic character and environmental risk for the southeast Pennsylvania region. Results. Analysis of these statistical surfaces reveals that socioeconomic status decreases with proximity to, and density of, hazardous facilities. Conclusions. Further research calls for incorporating other relevant information, such as amount and toxicity of toxic release, into GIS-based statistical surface representations of risk.
No References
No Citations
No Supplementary Data
No Data/Media
No Metrics

Document Type: Research Article

Affiliations: University of Colorado

Publication date: 2002-03-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more