Measuring Distance to Resources

Author/Creator ORCID





Citation of Original Publication

Wilson, Ron; Din, Alexander; Measuring Distance to Resources; A Journal of Policy Development and Research, Volume 19, Number 2, 2017;


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Public Domain Mark 1.0
This is a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.



Mapping counts or rates of residents by areal geographies is useful for visualizing distributions across regions. However, this approach limits the understanding of resource proximity to visual approximations. Taking advantage of exact location information in a geographic information system (GIS), direct proximity statistics can be created by geoprocessing residence locations to population centers. In this article, we demonstrate how to geoprocess location information to create a table of the distances between resident locations and the nearest population centers to gain a more precise understanding of how far people live, as groups, from their closest resource centers.