Mathematical Methods In Social Sciences Social Sciences Social Sciences, Mathematical Methods Sociology
Ordinary 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.
Using Universal Kriging to Improve Neighborhood Physical Disorder Measurement
Creators
Stephen J. Mooney - Harborview Injury Prevention and Research Center
Michael D. M. Bader - American University
Gina S. Lovasi - Drexel University
Kathryn M. Neckerman - Columbia University Medical Center
Andrew G. Rundle - Columbia University
Julien O. Teitler - Columbia University
Publication Details
Sociological methods & research, v 49(4), pp 1163-1185
Publisher
Sage
Number of pages
23
Grant note
5T32HD057833-07 / Eunice Kennedy Shriver National Institute of Child Health and Human Development; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD)
Resource Type
Journal article
Language
English
Academic Unit
Urban Health Collaborative
Web of Science ID
WOS:000591203300010
Scopus ID
2-s2.0-85096341905
Other Identifier
991019168570404721
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