The Influence of Data Uncertainty on Geographic Social Vulnerability Model Accuracy
dc.contributor.advisor | Hagelman, Ron | |
dc.contributor.author | Soto, Carlos | |
dc.contributor.committeeMember | Chow, T. Edwin | |
dc.contributor.committeeMember | Blue, Sarah | |
dc.date.accessioned | 2023-05-04T21:21:35Z | |
dc.date.available | 2023-05-04T21:21:35Z | |
dc.date.issued | 2023-05 | |
dc.description.abstract | No abstract prepared. | |
dc.description.department | Geography and Environmental Studies | |
dc.format | Text | |
dc.format.extent | 88 pages | |
dc.format.medium | 1 file (.pdf) | |
dc.identifier.citation | Soto, C. (2023). The influence of data uncertainty on geographic social vulnerability model accuracy (Unpublished thesis). Texas State University, San Marcos, Texas. | |
dc.identifier.uri | https://hdl.handle.net/10877/16714 | |
dc.language.iso | en | |
dc.subject | Social Vulnerability Index | |
dc.subject | American community survey | |
dc.subject | census tract | |
dc.subject | margin of error | |
dc.subject | reliability | |
dc.subject | uncertainty | |
dc.title | The Influence of Data Uncertainty on Geographic Social Vulnerability Model Accuracy | |
dc.type | Thesis | |
thesis.degree.department | Geography and Environmental Studies | |
thesis.degree.discipline | Geography | |
thesis.degree.grantor | Texas State University | |
thesis.degree.level | Masters | |
thesis.degree.name | Master of Science |
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