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Autor/inn/enMooney, Stephen J.; Bader, Michael D. M.; Lovasi, Gina S.; Neckerman, Kathryn M.; Rundle, Andrew G.; Teitler, Julien O.
TitelUsing Universal Kriging to Improve Neighborhood Physical Disorder Measurement
QuelleIn: Sociological Methods & Research, 49 (2020) 4, S.1163-1185 (23 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN0049-1241
DOI10.1177/0049124118769103
SchlagwörterNeighborhoods; Measurement Techniques; Geographic Information Systems; Comparative Analysis; Accuracy; Housing; Urban Areas; Public Health; Pollution; Hazardous Materials; Community Characteristics; New York (New York); Pennsylvania (Philadelphia); Michigan (Detroit); California (San Jose)
AbstractOrdinary kriging, a spatial interpolation technique, is commonly used in social sciences to estimate neighborhood attributes such as physical disorder. Universal kriging, developed and used in physical sciences, extends ordinary kriging by supplementing the spatial model with additional covariates. We measured physical disorder on 1,826 sampled block faces across four U.S. cities (New York, Philadelphia, Detroit, and San Jose) using Google Street View imagery. We then compared leave-one-out cross-validation accuracy between universal and ordinary kriging and used random subsamples of our observed data to explore whether universal kriging could provide equal measurement accuracy with less spatially dense samples. Universal kriging did not always improve accuracy. However, a measure of housing vacancy did improve estimation accuracy in Philadelphia and Detroit (7.9 percent and 6.8 percent lower root mean square error, respectively) and allowed for equivalent estimation accuracy with half the sampled points in Philadelphia. Universal kriging may improve neighborhood measurement. (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2024/1/01
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