River dataset as a potential fluvial transportation network for healthcare access in the amazon region
Sci Data, v. 10, 188, mar. 2023
Article
en En
| SES-SP, SESSP-IBPROD, SES-SP
| ID: bud-4852
Biblioteca responsable:
BR78.1
ABSTRACT
Remote areas, such as the Amazon Forest, face unique geographical challenges of transportation-based access to health services. As transportation to healthcare in most of the Amazon Forest is only possible by rivers routes, any travel time and travel distance estimation is limited by the lack of data sources containing rivers as potential transportation routes. Therefore, we developed an approach to convert the geographical representation of roads and rivers in the Amazon into a combined, interoperable, and reusable dataset. To build the dataset, we processed and combined data from three data sources OpenStreetMap, HydroSHEDS, and GloRiC. The resulting dataset can consider distance metrics using the combination of streets and rivers as a transportation route network for the Amazon Forest. The created dataset followed the guidelines and attributes defined by OpenStreetMap to leverage its reusability and interoperability possibilities. This new data source can be used by policymakers, health authorities, and researchers to perform time-to-care analysis in the International Amazon region.
Texto completo:
1
Banco de datos:
SES-SP
/
SESSP-IBPROD
Idioma:
En
Revista:
Sci Data
Año:
2023
Tipo del documento:
Article