Statistically enriched geospatial datasets of Brazilian municipalities for data-driven modeling

The lack of georeferencing in geospatial datasets hinders the accomplishment of scientific studies that rely on accurate data. This is particularly concerning in the field of health sciences, where georeferenced data could lead to scientific results of great relevance to society. The Brazilian healt...

Descripción completa

Detalles Bibliográficos
Autores principales: Abdalla, Livia, Augusto, Douglas A., Chame, Marcia, Dufek, Amanda S., Oliveira, Leonardo, Krempser, Eduardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365826/
https://www.ncbi.nlm.nih.gov/pubmed/35948576
http://dx.doi.org/10.1038/s41597-022-01581-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9365826/
https://www.ncbi.nlm.nih.gov/pubmed/35948576
http://dx.doi.org/10.1038/s41597-022-01581-2

Ejemplares similares