Measuring Distance to Resources
Loading...
Files
Permanent Link
Author/Creator
Author/Creator ORCID
Date
2017
Type of Work
Department
Program
Citation of Original Publication
Wilson, Ron; Din, Alexander; Measuring Distance to Resources; A Journal of Policy Development and Research, Volume 19, Number 2, 2017; https://www.huduser.gov/portal/periodicals/cityscpe/vol19num2/article22.html
Rights
This item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
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.
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.
Subjects
Abstract
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.