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Addressing spatial misalignment in population health research: a case study of US congressional district political metrics and county health data
Areal spatial misalignment, which occurs when data on multiple variables are collected using mismatched boundary definitions, is a ubiquitous obstacle to data analysis in public health and social science research. As one example, the emerging sub-field studying the links between political context an...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Cold Spring Harbor Laboratory
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882429/ https://www.ncbi.nlm.nih.gov/pubmed/36711902 http://dx.doi.org/10.1101/2023.01.10.23284410 |